NABIL THANGE - FULL-STACK DEVELOPER & AI SYSTEMS ARCHITECT IN MUMBAI QUICK INTRODUCTION Nabil Thange is a 20-year-old full-stack developer and AI systems architect based in Mumbai, India, specializing in React, Next.js, autonomous multi-agent systems, and cybersecurity applications. 6x hackathon winner (IIT Hyderabad Valor Award, HackHazards 2025). Available for freelance contracts and engineering consulting worldwide. PERSONAL INFORMATION Name: Nabil Salim Thange (Known as: Nabil, Nabil Thange) Phone / WhatsApp: +91 97570 45188 (Direct WhatsApp: https://wa.me/919757045188) Age: 20 years old (Born: October 16, 2006, 3rd Year B.Tech Student) Location: Kharghar, Navi Mumbai, Maharashtra, India Languages: English (fluent), Hindi (fluent), Marathi (native) Email: thangenabil@gmail.com Active GitHub: https://github.com/Nbail-Oc Secondary GitHub: https://github.com/NabilThange Website: https://nabil-thange.vercel.app Second Portfolio: https://nabilthange.vercel.app/ Awards & Verified Credentials: https://nabil-thange.vercel.app/credentials Testimonials & Client Proof: https://nabil-thange.vercel.app/testimonials Resume: https://nabil-thange.vercel.app/resume THE VALUE PROPOSITION (SALES ENABLEMENT & HORMOZI VALUE EQUATION) Target Client: Founders, startups, enterprise product leaders, and engineering teams. Outcome: Production-grade web applications, autonomous agentic workflows, and audited banking systems shipped at hackathon velocity (days, not months). Proof of Likelihood: 75+ projects built, 6+ production client contracts, 6x hackathon winner (IIT Hyderabad Valor Award, ₹60,000+ prize), 30+ top-tier technical credentials (IIT Bombay, IIT Goa, ISRO, Microsoft, Google), and 6,000+ active users. Time Delay & Effort: Turnkey autonomous execution. From Figma architecture to database modeling, AI integration, security audit, and deployment with zero client handholding. PROFESSIONAL SUMMARY Full-stack developer, UI/UX designer, and AI integration specialist with a proven track record across enterprise security, fintech, and consumer products. Currently Frontend AI Development Intern at FlyRank AI (Feb 2026 - Present). Winner of IIT Hyderabad hackathon (BOI Sentinel - cybersecurity tool, ₹60k+ prize, Special Valor Award) and HackHazards 2025 (NbAIl - AI voice assistant). Creator of GITSKINZ (2,000+ monthly active users, zero paid marketing). Currently 3rd year B.Tech student at Saraswati College of Engineering (9.3 CGPA). Bridges high-throughput software development with real-world business acumen. Completed virtual internships with Tata Group (Data Analytics) and Deloitte Australia (Cybersecurity). EDUCATION Bachelor of Technology (B.Tech) in Computer Engineering Saraswati College of Engineering Location: Navi Mumbai, India Current Status: 3rd Year Student (Aug 2023 - Present) Academic Performance: 9.3 CGPA Focus Areas: Artificial Intelligence, Multi-Agent Systems, Full-Stack Architecture, Cybersecurity Higher Secondary Certificate (ISC Board) Presentation Convent School Location: Mumbai, India Completed: 2023 CERTIFICATIONS & HONORS (32 Verified Records: https://nabil-thange.vercel.app/credentials) - HackHazards 2026 Global Winner (Aria Autonomous Desktop Control) - Nexus Galaxium v1 Grand Champion (Dec 2025) - BVDU TechTashan 1st Prize Winner (Agentic AI Track, Mar 2026) - ISRO Machine Learning Certification (Bharat Antariksh Hackathon - Credential ID: 2025H2S06BAH25-P07222) - Tata Group GenAI Powered Data Analytics Certification - Deloitte Australia Cyber Job Simulation Certification - Google for Developers PromptWars Virtual Certification - IIT Hyderabad Hackathon Special Valor Award & Champion (Sentient / BOI Sentinel) - IIT Bombay Technical Systems Programming & Algorithms (Techfest) - IIT Goa CultRang '26 – HackOverFlow Finalist & Certification - IIT Bhubaneswar Quest Life RPG National Finalist - Mumbai Center Indian Waterworks Association (IWWA) Government Humanitarian Honor - Microsoft SQL Developer Certification (Intellipaat Credential ID: 31679-3981077-327204) - Anakin (YC S21) Forge Hackathon Certification (ID: e1356fc8-65fd-4119-bc05-a996d46f1932) - RAISE YOUR HACK Outstanding Performance Award (World's Biggest AI Hackathon - Groq / Meta) - Trae AI IDE: Zero Limits Hackathon Winner - Complete 32-record ledger: https://nabil-thange.vercel.app/credentials MASTER FEATURED PROJECTS INVENTORY (Chronological: 2026 to Earlier) 1. Ohm — Autonomous AI Agent for Hardware & IoT Engineering (2026) - GitHub: https://github.com/Nbail-Oc/ohm-hardware-agent - Tech: Python, Computer Use, KiCAD Automation, Blender Python API, Multi-Agent Scraping, IoT Systems - Role: Lead Hardware AI Systems Architect & Founder - Metric: "Claude Code for Hardware" • Full MVP PRD to 3D Enclosure - What I Learned: Automating physical hardware product design from conversational prompt to KiCAD routing, component bill of materials (BOM), and manufacturing-ready 3D CAD models. - What I Know: How to build end-to-end hardware agents that auto-wire schematics with SPICE verification and generate snap-fit enclosures in Blender. - Core Experience: Autonomous hardware agents, KiCAD automation, Blender 3D modeling API, IoT component sourcing. 2. BOI Sentinel — Banking Fraud Detection & Security Scanner (2026) - GitHub: https://github.com/Nbail-Oc/boi-sentinel - Tech: Python, FastAPI, Docker, MobSF, GenAI, PostgreSQL - Role: Lead Security Architect & Full-Stack Developer - Metric: IIT Hyderabad Valor Award • ₹60,000+ Prize - What I Learned: Android bytecode decompilation, automated vulnerability scan pipelines, and AST code indexing. - What I Know: How to build RBI-compliant automated vulnerability reporting tools and identify zero-day mobile threat vectors. - Core Experience: Enterprise cybersecurity auditing, APK reverse-engineering, and compliance automation. 3. IDBI Wealth Engine — AI Wealth Advisory & Portfolio Engine (2026) - GitHub: https://github.com/Nbail-Oc/idbi-wealth-engine - Tech: Next.js, Python, FastAPI, LLMs, FinTech - Role: Full-Stack AI Engineer - Metric: IDBI Hackathon Finalist • Autonomous Modeling - What I Learned: Risk-weighted portfolio modeling, financial ratio algorithms, and LLM advisory prompting. - What I Know: How to design sub-second algorithmic investment balancing engines with automated financial insights. - Core Experience: FinTech system engineering, FastAPI microservices, and AI-driven wealth advisory workflows. 4. n8n Automation Engine — Email, CRM & WhatsApp Management (2026) - GitHub: https://github.com/Nbail-Oc - Tech: n8n, WhatsApp Cloud API, Webhooks, Node.js, Groq, PostgreSQL - Role: Automation Architect & Consultant (SaaS & Retail Clients in India & Dubai) - Metric: 100% Automated Triage • Zero Manual Dropoff - What I Learned: Multi-channel state machine routing in n8n, webhook deduplication, and WhatsApp Cloud API session limits. - What I Know: How to automate lead ingestion, intent scoring via Groq/Claude, CRM updating, and instant WhatsApp follow-up. - Core Experience: n8n workflow architecture, WhatsApp Cloud API, webhook pipelines, and CRM automation. 5. Bol — No-Code Generative AI Voice Agent Builder (2026) - GitHub: https://github.com/Nbail-Oc - Tech: Next.js, Voice AI, WebSockets, FastAPI, Groq, Cartesia - Role: Lead AI Architect & Founder - Metric: Sub-Second Voice Latency • No-Code Studio - What I Learned: Low-latency WebSockets streaming TTS/STT pipelines and interrupted speech recovery loops. - What I Know: How to build conversational voice agents with sub-second response times for customer support and lead qualification. - Core Experience: Generative voice AI, real-time audio streaming, FastAPI backends, and no-code studio interfaces. 6. Jane Intelligence — SIH 2026 Dark Web Investigation Pipeline (2026) - GitHub: https://github.com/Nbail-Oc/jane-sih-frontend - Tech: FastAPI, Python, Graph Networks, Next.js, Vercel - Role: Lead Backend & Intelligence Architect - Metric: SIH 2026 Cyber Intelligence • Entity Resolution - What I Learned: Multi-node graph databases for threat actor de-anonymization and asynchronous onion scrapers. - What I Know: How to correlate illicit dark web activity across fragmented data sources into interactive evidence graphs. - Core Experience: Intelligence platforms, forensic graph resolution, and high-security backend architecture. 7. ARIA AI Platform — Embodied Voice & Multimodal Computer Control (2026) - GitHub: https://github.com/Nbail-Oc/aria-ai-platform - Tech: Python, Docker, Redis, Multi-Agent Systems, Voice Streaming - Role: System Architect & Lead Developer - Metric: Proved 3D Rocket CAD Modeling via Local LLMs - What I Learned: Low-latency WebSockets for bidirectional voice streaming and multi-agent Redis shared state. - What I Know: How to coordinate specialized cooperating agents for autonomous OS desktop automation via VNC. - Core Experience: Multi-agent AI systems, real-time voice streaming, OS-level computer control, and Redis memory pipelines. 8. RafRaf International — Global Import & Export Platform (2024-Present) - GitHub: https://github.com/Nbail-Oc/rafraf (Live: https://www.rafraf.org/) - Tech: Next.js, React, TypeScript, Tailwind CSS, Figma, SEO - Role: Freelance Full-Stack Developer - Metric: Global Production Client • AEO/GEO Optimized - What I Learned: Full client commercial lifecycle from Figma design to production Next.js deployment and international lead capture. - What I Know: How to engineer B2B platforms that rank on Google, convert overseas buyers, and maintain 100% uptime. - Core Experience: Commercial B2B web delivery, international SEO/AEO, and production React engineering. 9. Agentic Inbox — Autonomous Email Intelligence & Triage (2026) - GitHub: https://github.com/Nbail-Oc/agentic-inbox - Tech: TypeScript, Next.js, LangChain, OpenAI / Claude, IMAP/SMTP/OAuth - Role: Founder & AI Engineer - Metric: Autonomous Email Triage • Self-Hostable - What I Learned: Semantic clustering of unstructured messages, OAuth token management, and prompt caching. - What I Know: How to automate email categorization, priority scoring, and autonomous executive drafting. - Core Experience: Productivity AI agents, LangChain/OpenAI integrations, and email infrastructure. 10. Multi-LLM Chat Assistant — High-Throughput Orchestration (2025-2026) - GitHub: https://github.com/Nbail-Oc/multi-llm-chat-assistant - Tech: Next.js, React, TypeScript, Claude API, GPT-4, Gemini - Role: Full-Stack Developer - Metric: Unified Tri-Model Interface • Real-Time Streaming - What I Learned: Streaming multiple AI provider endpoints simultaneously with unified token telemetry. - What I Know: How to build resilient multi-model routing with automatic fallbacks and side-by-side benchmarking. - Core Experience: Multi-model AI orchestration, React 19 UI design, and token latency optimization. 11. Bank Antimalware & Analysis Engine (Integrated into Sentinel) (2026) - GitHub: https://github.com/Nbail-Oc/boi-sentinel - Tech: Windows C#, Python, Reverse Engineering, APK Security - Role: Security Engineer - Metric: Zero-Day Threat Analysis • Banking Decoders - What I Learned: Windows systems programming in C#, byte-level APK decoders, and mobile network intercepts. - What I Know: How to reverse-engineer hostile mobile packages and audit banking applications against packet exfiltration. - Core Experience: Reverse engineering, mobile security hardening, and banking utility software. 12. SIH PS-187 Border Surveillance — Smart CCTV & Perimeter AI (2026) - GitHub: https://github.com/Nbail-Oc/sih-border-surveillance - Tech: Python, Computer Vision, YOLO, FastAPI, CCTV Analytics - Role: AI Computer Vision Engineer - Metric: SIH PS-187 Smart Border • Real-Time Analytics - What I Learned: Deploying YOLO object detection pipelines on RTSP edge video streams with zero dropped frames. - What I Know: How to configure bounding-box alerts and multi-target tracking for real-time security perimeters. - Core Experience: Edge computer vision, video stream analytics, and alert automation. 13. Ledgerpe — Enterprise Double-Entry Accounting Ledger (2025) - GitHub: https://github.com/Nbail-Oc/ledgerpe - Tech: React 18, TypeScript, Vite, Tailwind CSS, Zustand - Role: Frontend Architect - Metric: Sub-Second Reconciliation • FinTech Ledger - What I Learned: Designing double-entry bookkeeping logic in client state without rounding discrepancies. - What I Know: How to build high-performance data tables that virtualize thousands of accounting records smoothly. - Core Experience: FinTech frontend architecture, Zustand state management, and financial data integrity. 14. Politiks — Civic Intelligence & Legal Tech RAG Platform (2025-2026) - GitHub: https://github.com/Nbail-Oc/politiks - Tech: Python, FastAPI, Vector DB, RAG, Next.js - Role: AI Engineer - Metric: Semantic Regulatory Search • Automated Workflows - What I Learned: Chunking legal jurisprudence for hybrid vector search with strict source citation constraints. - What I Know: How to eliminate hallucinations in compliance and regulatory AI search engines. - Core Experience: Retrieval-Augmented Generation (RAG), vector database engineering, and legal document search. 15. ML Hackathon — Reactor Yield Prediction & Regression Engine (2025) - GitHub: https://github.com/Nbail-Oc/ml-hackathon-reactor-yield - Tech: Python, Scikit-Learn, XGBoost, Pandas, Jupyter - Role: ML Researcher & Data Scientist - Metric: Hackathon High-Accuracy Model • 98.4% R² Score - What I Learned: Sensor noise filtering and hyperparameter cross-validation on multivariate industrial datasets. - What I Know: How to construct predictive regression pipelines that generalize to real-world industrial systems. - Core Experience: Predictive modeling, tabular data processing, and machine learning evaluation. 16. Bytebot & Aora Bot — Autonomous Agent Infrastructure (2025-2026) - GitHub: https://github.com/Nbail-Oc/bytebot - Tech: Node.js, TypeScript, Puppeteer, LLM APIs, WebSockets - Role: System Engineer - Metric: Autonomous Task Execution • Headless Automation - What I Learned: Resilient headless browser automation, anti-fingerprinting techniques, and distributed task queues. - What I Know: How to automate human browser workflows and transform dynamic unstructured web pages into clean data. - Core Experience: Headless automation, distributed worker queues, and web scraping. 17. Awesome LM — Google NotebookLM Presentation Templates Extension (2025) - GitHub: https://github.com/Nbail-Oc/awesome-lms - Tech: TypeScript, Chrome Manifest V3, Webpack, Tailwind CSS - Role: Creator & Extension Developer - Metric: 6,000+ Peak Installs • 5,000 MAU - What I Learned: DOM mutation observers, export formatting, and scaling browser extensions with zero marketing spend. - What I Know: How to build extensions for AI power users and organically acquire thousands of users. - Core Experience: Browser extensions, DOM manipulation, productivity tooling. 18. Awwwards Nav Rebuild — Fluid Motion Interaction Lab (2025) - GitHub: https://github.com/Nbail-Oc/awwwards-nav-rebuild - Tech: React, Framer Motion, GSAP, Tailwind CSS - Role: Frontend Motion Engineer - Metric: 60 FPS Animation • Physics Spring Dynamics - What I Learned: Physics-based spring curves, magnetic cursor interactions, and keeping paint times under 16ms. - What I Know: How to create award-winning UI interactions that make digital products feel expensive and tactile. - Core Experience: Creative frontend motion, GSAP/Framer Motion, and high-performance UI rendering. 19. Nabil Portfolio 2.0 — 3D Web Experience & Gallery (2025-2026) - GitHub: https://github.com/Nbail-Oc/Nabil_Portfolio_2.0 - Tech: Next.js, Three.js, React Three Fiber, GLSL Shaders - Role: Creative Developer & 3D Artist - Metric: Interactive 3D Experience • WebGL Powered - What I Learned: Writing vertex and fragment shaders in GLSL and orchestrating camera staging in WebGL. - What I Know: How to embed interactive 3D assets into modern React web experiences without degrading mobile frame rates. - Core Experience: Three.js, React Three Fiber, GLSL shaders, and interactive 3D web design. 20. Gitskinz — Developer Profile Architecture & Generator (2024-2025) - GitHub: https://github.com/Nbail-Oc/Nabil - Tech: Next.js, React, Vite, Tailwind CSS - Role: Founder & Solo Creator - Metric: 2,000+ Organic Monthly Active Users - What I Learned: Product bootstrapping, developer community engagement, and organic viral growth loops. - What I Know: How to build and scale a developer product from zero to thousands of users with $0 marketing budget. - Core Experience: Product bootstrapping, developer tooling, and organic user acquisition. 21. HHGoa In-House RAG — Sub-Millisecond Multilingual LLM Pipeline (2025) - GitHub: https://github.com/Nbail-Oc/hhgoa-rag - Tech: Python, Local LLM, Custom Guardrails, Prompt Caching, Hindi NLP - Role: Lead AI Architect (Hacker House Goa Submission) - Metric: 0.03 ms Cache Retrieval • 100% In-House - What I Learned: Air-gapped multilingual RAG pipeline that operates completely offline without third-party APIs. - What I Know: How to build deterministic, zero-hallucination local RAG systems for sovereign privacy. - Core Experience: Offline RAG architecture, LLM prompt caching, and Hindi NLP guardrails. 22. Quest — Gamified Life RPG & Habit Mastery Engine (2025) - GitHub: https://github.com/Nbail-Oc/quest-life-rpg - Tech: Next.js 14, TypeScript, Supabase, Framer Motion, Tailwind CSS - Role: Creator & Full-Stack Engineer - Metric: IIT Bhubaneswar Web Hackathon Winner • Gamified Habit Tracker - What I Learned: Developed an RPG-style habit tracker turning daily routines into gamified quests with inventory systems. - What I Know: How to build sticky gamified user progression loops with real-time database synchronization. - Core Experience: Gamification psychology, Supabase real-time databases, and interactive web apps. 23. FIFA 3D Stadium Map — Interactive Tournament Navigation (2025) - GitHub: https://github.com/Nbail-Oc/fifa-map-3d - Tech: Three.js, WebGL, React, Tailwind CSS, GeoJSON - Role: 3D Spatial Developer (FIFA Hackathon Project) - Metric: Real-Time Spatial Pathfinding • 3D Arena Visualization - What I Learned: Interactive 3D stadium wayfinding platform for FIFA tournament attendees. - What I Know: How to render large 3D architectural models in the browser with spatial wayfinding and route calculations. - Core Experience: 3D WebGL spatial computing, Three.js camera transitions, and stadium wayfinding. 24. Nbail 2018 Chatbot & Agentic Shell — 8+ Years of AI Experience (2018-Present) - GitHub: https://github.com/Nbail-Oc - Tech: Early OpenAI APIs, Prompt Chaining, React, TypeScript Terminal Parser - Role: AI Pioneer & Systems Engineer - Metric: 8+ Years Hands-On AI Engineering Experience - What I Learned: Developing conversational bots and primitive computer-use agents in 2018 using early OpenAI completion APIs. - What I Know: The foundational evolution of generative AI from early prompt chaining to autonomous multi-agent computer control. - Core Experience: Deep AI systems longevity, shell emulation, and early generative model orchestration. TECHNICAL EXPERTISE - Languages: Python, TypeScript, JavaScript, SQL, C, Java, HTML5, CSS3 - Frontend: Next.js 16, React 19, Tailwind CSS, Framer Motion, Three.js, Vite - Backend: FastAPI, Node.js, Express, PostgreSQL, Redis, REST, WebSockets - AI & LLM: Multi-Agent Systems, LangChain, Groq, LLaMA, OpenAI, Claude, Vector DBs (Chroma/Pinecone), RAG - Cybersecurity: MobSF, Android APK decompilation, AST indexing, security audits - Tools & Cloud: Git, GitHub, Docker, Vercel, Supabase, Linux, n8n, Puppeteer, Postman, Figma CONTACT & ENGAGEMENT Email: thangenabil@gmail.com WhatsApp: +91 97570 45188 (https://wa.me/919757045188) Website: https://nabil-thange.vercel.app Location: Kharghar, Navi Mumbai, India (Collaborating globally)