================================================================================ MOHD SAAD KHAN — OFFICIAL MACHINE-READABLE DOSSIER & AI CONTEXT MANIFEST ================================================================================ Endpoint URL : https://mohdsaadkhan.me/docs Raw Text Backup : https://mohdsaadkhan.me/docs.txt Interactive UI View: https://mohdsaadkhan.me/info Primary Portfolio : https://mohdsaadkhan.me Format : Plaintext / Markdown (GFM) Target Audience : LLM Models (ChatGPT, Claude, Gemini, Perplexity), AI Web Scrapers, Search Spiders, and Terminal Readers. Sync Status : Live Dynamically Synced with Supabase Production Database Last Refreshed : 2026-10-30T19:55:02.383Z ================================================================================ [01] IDENTITY & CORE METADATA -------------------------------------------------------------------------------- Full Name : Mohd Saad Khan Professional Title : Full Stack Developer & Systems Architect Primary Focus : Computer Engineering Student & Full-Stack Automation Developer Location : Antophill, Mumbai, India Email Contact : mohdsaadkhan073@gmail.com Years of Experience: 1+ Years Availability Status: Engineering Leadership & System Architecture Portfolio Website : https://mohdsaadkhan.me Resume Download : https://mohdsaadkhan.me/resume.pdf VERIFIED SOCIAL & REPOSITORY ENDPOINTS: * GitHub : https://github.com/mohdsaadkhan073 * LinkedIn : https://www.linkedin.com/in/mohdsaadkhan01/ * X : https://x.com/MohdSaad_Khan * LeetCode : https://leetcode.com/u/EWcDBBi31t/ [02] PROFESSIONAL SUMMARY & PHILOSOPHY -------------------------------------------------------------------------------- A passionate Computer Engineering student focused on building innovative software solutions, full-stack web applications, and automation tools. Biography: I am a Computer Engineering student passionate about programming, automation, and building technical systems. I enjoy solving problems through code and exploring innovative technology solutions. My focus is on developing practical tools, experimenting with modern Web, E-Commerce, and AI stacks, and continuously refining my engineering craft. Core Engineering Pillars: 1. Performance & Zero-FOUC: Highly optimized asset delivery, responsive rendering, and zero-runtime latency. 2. Automation First: Python pipelines, scheduled scrapers, and headless automation. 3. Strict Database Integrity: PostgreSQL schemas, Supabase Row-Level Security (RLS), and resilient REST APIs. 4. User Experience: Accessible, keyboard-navigable, high-contrast, and responsive interfaces. [03] TECHNICAL CAPABILITIES & SKILLS MATRIX -------------------------------------------------------------------------------- [+] FRONTEND * React (Expert) * Next.js (Expert) * Tailwind CSS (Expert) * Framer Motion (Advanced) * HTML (Expert) * CSS (Expert) * UI Engineering (Advanced) * Performance (Expert) [+] BACKEND * Node.js (Expert) * REST APIs (Expert) [+] DATABASE * SQL (Expert) * DBMS (Expert) * PL/SQL (Advanced) [+] AUTOMATION * Python (Expert) * Automation (Expert) * AI Automation (Expert) * n8n (Advanced) * Prompt Eng. (Advanced) * Auto Workflows (Expert) [+] DEVOPS & TOOLS * System Design (Advanced) * Git (Expert) * Docker (Advanced) * Linux (Advanced) * GitHub (Expert) * Networking (Advanced) * GitHub Actions (Advanced) * Cloud Basics (Advanced) * Debugging (Expert) [+] PROGRAMMING LANGUAGES * TypeScript (Advanced) * JavaScript (Expert) * C++ (Advanced) * Java (Advanced) * Data Structures (Expert) * C (Advanced) * Problem Solving (Expert) * OOP (Expert) [04] FULL PROJECTS DIRECTORY & CASE STUDIES (12 Total Projects) -------------------------------------------------------------------------------- [PROJ-01] HAJI CLOTH STORE Category : E-Commerce Subtitle : Premium e-commerce platform for pilgrimage wear & luxury prayer mats Tech Stack : Next.js, React, TypeScript, Tailwind CSS, Supabase, Zustand, EmailJS Role : Full-Stack Creator Status : Production Active Live Deployment : https://haji-cloth-store.vercel.app Overview: A luxury e-commerce application specializing in Hajj & Umrah pilgrimage wear, premium Janamaz prayer mats, and sacred travel accessories. Built with Next.js 15, React 19, and Supabase, featuring an interactive shopping cart drawer, Zustand state management, EmailJS notification dispatch, and a dynamic admin panel. Key Features: - Interactive shopping cart with sliding drawer and persistent state - SEO optimization including dynamic XML sitemaps and FAQPage JSON-LD schemas - Dynamic Administration Panel for product management and store controls - Direct contact form dispatch via EmailJS REST API Engineering Highlights: Ensuring sub-second page loads while serving high-resolution product image assets across mobile networks. Key Learnings: Mastered Next.js 15 App Router, Supabase client authentication, and Zustand state synchronization. -------------------------------------------------------------------------------- [PROJ-02] BABA MISAL Category : Full-Stack Subtitle : Maharashtrian restaurant management platform with tableside QR & POS Tech Stack : React, Vite, JavaScript, Tailwind CSS, Lucide React, LocalStorage Role : Lead Frontend Engineer Status : Production Ready GitHub Repo : https://github.com/mohdsaadkhan073/Baba-Misal.git Live Deployment : https://baba-misal-blond.vercel.app Overview: A high-end restaurant management and digital ordering system built with React and Vite. Features tableside QR ordering, real-time Point of Sale (POS) counter interface, and a robust Admin Dashboard Terminal to manage dish menus, order lifecycles, and sales statistics. Key Features: - Tableside QR self-checkout token generation - Real-time Point of Sale (POS) counter interface - Admin Dashboard to manage menus, order lifecycles, and earnings - State-event bridge database architecture using LocalStorage fallback Engineering Highlights: Managing real-time state sync between tableside self-orders and cashier POS counters. Key Learnings: Deepened understanding of complex event state architecture and POS workflow design. -------------------------------------------------------------------------------- [PROJ-03] CENTRAL THRIFTS Category : E-Commerce Subtitle : Gen-Z streetwear catalog with 3D jersey model & instant WhatsApp checkout Tech Stack : Next.js, React, Three.js, React Three Fiber, Tailwind CSS, Supabase, TypeScript Role : Full-Stack Developer Status : Active Project GitHub Repo : https://github.com/mohdsaadkhan073/Central-Thrifts.git Live Deployment : https://central-thrifts.vercel.app Overview: A streetwear catalog and inquiry platform built with Next.js 16, React 19, and Three.js. Features an interactive 3D jersey model rendered using React Three Fiber, magnetic CTA buttons, Supabase passwordless Email OTP / Google OAuth authentication, and an instant WhatsApp checkout generator. Key Features: - Interactive 3D jersey rotation and material interaction using Three.js - URL-encoded WhatsApp instant checkout generator - Supabase Passwordless Email OTP & Google OAuth authentication - Admin analytics dashboard for product inventory CRUD Engineering Highlights: Optimizing 3D mesh geometry loading times on mobile GPU hardware. Key Learnings: Gained hands-on expertise in React Three Fiber shaders, lighting, and Supabase OAuth authentication. -------------------------------------------------------------------------------- [PROJ-04] NEXORESHA TALES Category : Full-Stack Subtitle : Luxury wedding cinematography portal with 3D camera explosion scroller Tech Stack : Next.js, React, Three.js, React Three Fiber, Tailwind CSS, EmailJS Role : Frontend Developer Status : Production Active Live Deployment : https://nexoresha-tales.vercel.app Overview: An elite wedding cinematography showcase featuring a 3D RED-style cinema camera rig in React Three Fiber that disassembles dynamically on scroll. Includes an infinite package slider, glassmorphic team portraits, and an Apple TV-inspired film catalog with fullscreen video streaming. Key Features: - Scroll-driven 3D camera explosion disassembling camera parts on scroll - Infinite package slider with card peaking - Films catalog with hover video previews and fullscreen modal player - EmailJS inquiry validation forms Engineering Highlights: Synchronizing camera explode keyframes with Lenis scroll distance. Key Learnings: Mastered 3D camera rig hierarchy animation and video lightbox integration. -------------------------------------------------------------------------------- [PROJ-05] NEXORESHA MEDIA WORKS Category : Full-Stack Subtitle : Cinematic agency portal with 240-frame scroll video & payment emulator Tech Stack : Next.js, React, Tailwind CSS, TypeScript, Zustand, Razorpay, EmailJS Role : Lead Architect Status : Production Active Live Deployment : https://nexoresha-media-works.vercel.app Overview: A high-fidelity branding and media agency portal built with Next.js 16 and Tailwind CSS v4. Features an interactive scroll-scrubbed video sequence preloading 240 high-resolution frames, a custom media package configurator, EmailJS lead forms, and a built-in Razorpay transaction sandbox emulator. Key Features: - 240-frame scroll-scrubbed video sequence with linear frame interpolation - Custom service package builder for Content, Production, and Marketing - Built-in Payment Sandbox Emulator to simulate transactions without live keys - Autoplay-on-hover showreel portfolio masonry grid Engineering Highlights: Preloading and interpolating 240 static image frames smoothly without causing main thread jank. Key Learnings: Advanced HTML5 Canvas image buffer rendering and frame interpolation. -------------------------------------------------------------------------------- [PROJ-06] NEXORESHA SERAN Category : Full-Stack Subtitle : Luxury perfumery e-commerce store with artisanal scent note filters & Supabase RLS Tech Stack : React, TypeScript, Vite, Tailwind CSS, Supabase, PostgreSQL Role : Full-Stack Engineer Status : Production Active Live Deployment : https://nexoresha-seran.vercel.app Overview: A luxury perfumery e-commerce platform specializing in French fragrances and Oud blends. Implements granular scent note filtering, multi-layered sorting, a direct Supabase checkout flow, and a comprehensive Admin Control Console with Row-Level Security (RLS) PostgreSQL schema. Key Features: - Artisanal scent filters by category, notes, bottle size, and price - Supabase PostgreSQL schema with Row Level Security (RLS) policy enforcement - Admin control console for product inventory and review moderation - Fluid transitions and video background integration Engineering Highlights: Designing complex multi-dimensional filter queries over PostgreSQL arrays. Key Learnings: Deepened understanding of Supabase RLS policies and e-commerce filtering logic. -------------------------------------------------------------------------------- [PROJ-07] DNSENTINEL Category : Cyber Security Subtitle : Intelligent DNS Filtering with Threat Intelligence, ML-Based DGA Detection & DNS Tunneling Analysis Tech Stack : Python, FastAPI, React, TypeScript, TensorFlow/Keras, Scikit-learn, Redis, SQLite, AsyncIO, STIX/TAXII, PCAP, Zeek, DNS, DoH, DTLS, Ollama, Tailwind CSS Role : Lead Developer Status : Production Active GitHub Repo : https://github.com/mohdsaadkhan073/DNSentinel Overview: **DNSentinel is an AI-powered DNS security and threat-detection platform developed for SIH1524. It acts as a secure DNS resolver that analyzes DNS requests using threat intelligence, ML-based DGA detection, and behavioral DNS-tunneling analysis before deciding whether to allow, flag, or block them. It also supports PCAP/Zeek-based forensic analysis and provides a SOC-style dashboard for real-time monitoring and investigation.** Key Features: - • Real-time DNS threat filtering - • Threat Intelligence integration using STIX/TAXII - • ML-based DGA and suspicious-domain detection - • DNS tunneling and behavioral analysis - • Explainable risk scoring and ALLOW / SUSPICIOUS / BLOCK decisions - • DNS response caching for faster resolution - • DNS over UDP, DoH, and DTLS support - • PCAP-based historical DNS forensic analysis - • Zeek DNS log analysis - • Source IP and threat-event monitoring - • Real-time SOC-style security dashboard - • Domain investigation and evidence inspection - • Security event logging and threat analytics Engineering Highlights: • Designing a unified pipeline that combines **Threat Intelligence, ML, behavioral analysis, and risk scoring**. • Detecting **previously unseen DGA-like domains** without relying only on known threat feeds. • Detecting **DNS tunneling behavior** from query patterns and historical traffic. • Maintaining **low DNS latency** while performing security analysis. • Supporting both **real-time DNS inspection and offline PCAP/Zeek forensic analysis**. • Handling threat-intelligence updates, caching, false positives, and failure scenarios. Key Learnings: • Designing and integrating a **multi-module cybersecurity system** rather than building isolated features. • Understanding **DNS resolution, DNS filtering, caching, and DNS security**. • Working with **Threat Intelligence, STIX/TAXII, DGA detection, and DNS tunneling**. • Applying **ML models to a real security problem** and considering false positives, false negatives, and inference latency. • Processing and analyzing **PCAP and Zeek network data**. • Designing **explainable security decisions** instead of relying on a simple black-box prediction. • Leading and coordinating a **six-member technical team under a four-day hackathon deadline**. -------------------------------------------------------------------------------- [PROJ-08] WANDER Category : Web App Subtitle : Interactive travel planner & country itinerary companion app Tech Stack : Next.js, React, Tailwind CSS, TypeScript, Lucide React, Framer Motion Role : Full-Stack Engineer Status : Production Ready GitHub Repo : https://github.com/mohdsaadkhan073/wander-travel.git Overview: A travel companion and itinerary planner built with Next.js 16, React 19, and Tailwind CSS. Features an interactive traveler personality assessment quiz, dynamic country itineraries, budget breakdowns, flight search options, and an AI WanderBot assistant. Key Features: - Interactive Traveler Personality Quiz - Dynamic Country Itinerary Generation - Comprehensive Budget & Expense Breakdown - AI WanderBot chat assistant simulation Engineering Highlights: Compiling dynamic itinerary recommendations based on multi-variable personality traits. Key Learnings: Mastered complex state-machine forms and dynamic data visualization. -------------------------------------------------------------------------------- [PROJ-09] JARVIS DESKTOP ASSISTANT Category : Automation Subtitle : Voice-controlled Windows automation assistant with local LLM integration Tech Stack : Python, SpeechRecognition, pyttsx3, Ollama / Llama3, Automation, PyAudio Role : Python Systems Developer Status : Active Automation Tool GitHub Repo : https://github.com/mohdsaadkhan073 Overview: A Python-based desktop assistant designed for Windows automation. Listens for wake words, captures speech through SpeechRecognition, converts responses to voice with pyttsx3, and uses system automation to launch apps and execute OS commands alongside local Ollama LLM responses. Key Features: - Wake-word voice interaction and STT/TTS pipeline - Application launching and OS keyboard automation - Local LLM fallback integration with Ollama/Llama3 Engineering Highlights: Reducing microphone speech recognition latency while running local LLM inference. Key Learnings: Gained deep experience in Python concurrency, audio streams, and local LLM binding. -------------------------------------------------------------------------------- [PROJ-10] LIFESTACK Category : Web App Subtitle : Personal productivity dashboard for day planning & focus tracking Tech Stack : React, Vite, JavaScript, Tailwind CSS, Framer Motion, @dnd-kit, Lucide React Role : Frontend Creator Status : Production Active GitHub Repo : https://github.com/mohdsaadkhan073/LifeStack.git Live Deployment : https://life-stack-ten.vercel.app/ Overview: A React and Vite-based productivity platform that helps users manage daily tasks, generate auto-scheduled day plans, and stay in deep work mode with a built-in focus timer. Features drag-and-drop reordering, dashboard analytics, and history tracking. Key Features: - Drag-and-drop task organization using @dnd-kit - Priority-based auto day planner algorithm - Integrated Pomodoro focus timer with ambient sounds Engineering Highlights: Optimizing smooth drag-and-drop touch events across mobile viewports. Key Learnings: Mastered touch-friendly drag-and-drop state management. -------------------------------------------------------------------------------- [PROJ-11] CAREER BUDDY PLATFORM Category : AI / ML Subtitle : Interactive career path discovery & skills matching web product Tech Stack : HTML, CSS, JavaScript, Vercel Role : Full-Stack Creator Status : Active Platform GitHub Repo : https://github.com/mohdsaadkhan073/CareerBuddy.git Live Deployment : https://career-buddy-ten.vercel.app Overview: An evolving career guidance platform built to guide students through career decisions. Combines interactive skill assessment quizzes, curated college & exam resource directories, and personalized recommendations. Key Features: - Career path discovery assessment - Curated resource directory for exams, colleges, and scholarships - Interactive recommendation flow Engineering Highlights: Structuring accessible navigation for extensive educational catalogs. Key Learnings: Mastered responsive layout design and semantic HTML structure. -------------------------------------------------------------------------------- [PROJ-12] CONTENT CREATION WORKFLOW Category : Automation Subtitle : Automated digital content ingestion & publishing pipeline Tech Stack : Workflow, System Design, Automation, Python Role : Automation Engineer Status : Internal System GitHub Repo : https://github.com/mohdsaadkhan073 Overview: A system designed to streamline the digital content lifecycle. Integrates automated file ingestion, video rendering pipeline scripts, and multi-platform publishing workflows. Key Features: - Automated file ingestion and metadata tagging - Video rendering pipeline integration - Multi-platform auto-publishing scripts Engineering Highlights: Handling asynchronous video render pipeline completion callbacks. Key Learnings: Gained architectural insights into automated content orchestration. [05] WORK EXPERIENCE & POSITIONS -------------------------------------------------------------------------------- [EXP-1] Automation Projects & Scripting @ Personal Engineering Period : 2023 — Present Location : Mumbai, India Technologies: Summary: Created custom Python automation scripts and web tools to streamline daily workflows and data extraction. [EXP-2] Academic Technical Projects @ Vidyalankar Polytechnic Period : 2022 — 2025 Location : Mumbai, India Technologies: Summary: Built multiple full-stack applications, database architectures, and systems as part of computer engineering diploma coursework. [EXP-3] Software Development Experiments @ Independent Engineering Period : 2023 — Present Location : Mumbai, India Technologies: Summary: Explored modern frontend & full-stack frameworks, 3D graphics libraries (Three.js), and cloud platforms. [06] EDUCATION & ACADEMIC CREDENTIALS -------------------------------------------------------------------------------- [EDU-1] SSC 10th STD Institution : CGEES High School Period : 2021 - 2022 Field : Computer Engineering Grade/Score : 93.4% Details : Secondary School Certificate (SSC) • Topped in the entire School • Scored 93.4% [EDU-2] Diploma in Computer Engineering Institution : Vidyalankar Polytechnic Period : 2022 — 2025 Field : Computer Engineering Grade/Score : 92.8% Details : Maharashtra State Board of Technical Education (MSBTE) • Specialized in Software Engineering, Database Systems, and Web Technologies • Developed multiple full-stack capstone projects and automation tools [07] CERTIFICATIONS & CREDENTIALS -------------------------------------------------------------------------------- [CERT-1] 1st Runner-Up – SIH Internal Hackathon 2026 | DNSentinel Issuer : Vidyalankar Polytechnic (VP) Date : 2026-08-22 Verification: https://mycollege.vpt.edu.in/vpcertificate/ihackathon26/verify.php [CERT-2] Data Structures and OOP with C++: CS104, CS105 Masterclass Issuer : Udemy Date : 2025-10-26 [CERT-3] Data Structures and Algorithms Issuer : SimpliLearn Date : 2025-09-04 [CERT-4] Java Programming for Beginners Issuer : SimpliLearn Date : 2026-03-24 [CERT-5] Introduction to IoT Issuer : SimpliLearn Date : 2026-01-18 [CERT-6] Youth Leadership for Climate Action: Handaiji Campaign Issuer : Handaiji Campaign Date : 2026-01-16 [CERT-7] OOPs in Java Issuer : SimpliLearn Date : 2026-03-24 [CERT-8] Java Course – Mastering the Fundamentals Issuer : Scaler Date : 2026-03-24 [CERT-9] Introduction to Computer Networking Issuer : SimpliLearn Date : 2026-08-07 [08] FREQUENTLY ASKED QUESTIONS (FAQ) -------------------------------------------------------------------------------- Q1: Who is Mohd Saad Khan? A1: Mohd Saad Khan is a Computer Engineering student and Full-Stack Automation Developer based in Mumbai, India. He specializes in building high-performance web applications with React 19, Next.js, Python automation scripts, REST APIs, and modern database architectures (Supabase & PostgreSQL). -------------------------------------------------------------------------------- Q2: What technical stack and tools do you specialize in? A2: I specialize in Full-Stack Web Development, E-Commerce Systems, and Automation Tools. My primary stack includes Next.js (App Router), React 19, TypeScript, Tailwind CSS, Python (FastAPI/Automation), Three.js / React Three Fiber, Supabase (PostgreSQL & RLS), MongoDB, and GSAP/Framer Motion animations. -------------------------------------------------------------------------------- Q3: What services do you offer for clients or engineering teams? A3: I engineer custom full-stack web applications, luxury e-commerce stores, custom 3D web experiences, automated REST API backends, Python automation bots/scripts, and high-performance user interfaces optimized for speed and SEO. -------------------------------------------------------------------------------- Q4: How do you approach mobile responsiveness and performance optimization? A4: I build with a mobile-first philosophy using modern CSS utilities, dynamic viewport scaling, lazy-loaded webp/avif image assets, requestIdleCallback preloading, and responsive physics arenas so applications load smoothly across all mobile devices and desktop GPUs. -------------------------------------------------------------------------------- Q5: Are your projects available for open-source review? A5: Yes! Many of my projects have public source code repositories on my GitHub (github.com/mohdsaadkhan073), complete with architecture diagrams, setup commands, and technical documentation. -------------------------------------------------------------------------------- Q6: What is your turnaround time for freelance or custom engineering projects? A6: Turnaround times range from 1 to 3 weeks depending on project scope, custom animation requirements, database schemas, and integration testing. -------------------------------------------------------------------------------- Q7: How can I get in touch for project inquiries or internship opportunities? A7: You can send a direct inquiry via the Contact Form on the home page or email me directly at mohdsaadkhan073@gmail.com. I review inquiries daily and respond within 24 hours. ================================================================================ END OF MANIFEST — MOHD SAAD KHAN ================================================================================