# Mohammed Qambar Syed (AI Engineer & Systems Builder)

> Full-Stack Software Engineer & AI Systems Builder specializing in Agentic Orchestration, 24-Layer Agent DAGs, Computer Vision, and Real-Time Distributed Backends based in Lucknow, India.

## Overview
Mohammed Qambar Syed is a software engineer and AI builder. AI Engineering Intern at Norma AI, building healthcare AI automation live in production across 1 hospital and 52 clinics in India. Architect of APEX (a 24-layer agentic AI operating system) and SVORA (in-browser computer vision fitness platform).

- **Website**: https://qambar.me/
- **LinkedIn**: https://linkedin.com/in/mohammed-qambar
- **GitHub**: https://github.com/Qambar-dev-0207
- **AI Engineer Resume**: https://qambar.me/qambar_resume_ai.pdf
- **Full-Stack SDE Resume**: https://qambar.me/qambar_resume_sde.pdf
- **Full Dossier**: https://qambar.me/llms-full.txt

## Work Experience
- **Norma AI** (Feb 2026 – July 2026): AI Engineering Intern. Live in production across 1 hospital and 52 clinics in India. Integrated APIs, LLM agent orchestration, voice workflows, and real-time WhatsApp automation across Next.js, FastAPI, Redis, SQL, Cloudflare Workers/R2, and Vercel.
- **Robotics Lab, Integral University** (Feb 2025 – Aug 2025): AI Engineering Intern. Built LeafLens plant-disease classification pipeline spanning 15+ classes; boosted accuracy from 70% to 83% via transfer learning, preprocessing, and Raspberry Pi edge deployment with Grad-CAM explainability.

## Flagship Systems & Projects

### APEX — Sovereign Agentic AI OS
- **Repository**: https://github.com/Qambar-dev-0207/Apex
- **Domain**: Agentic AI, AI Operating Systems
- **Architecture**: 24-layer agent execution engine routing user intent through dependency-aware task DAGs to parallel code/research agents. Hierarchical cognitive memory via Redis + ChromaDB with semantic deduplication. Self-healing architecture (Detect → Diagnose → Recover → Learn → Evolve) enabling dynamic rerouting, retries, and rollback/replanning without retraining model weights.
- **Tech Stack**: Python, Gemini, Redis, ChromaDB, MCP, Next.js.

### SVORA — Computer-Vision Fitness Platform
- **Repository**: https://github.com/Qambar-dev-0207/fitness
- **Domain**: Computer Vision, WebGL Edge Processing, Generative AI
- **Architecture**: In-browser WebGL-accelerated MediaPipe pose estimation tracking 33 3D body landmarks at 60fps. Real-time geometric joint-angle calculation and rep counting. Adaptive progressive overload protocols and meal planning powered by Gemini / OpenRouter.
- **Tech Stack**: Next.js, React, MediaPipe, MongoDB, OpenRouter / Gemini.

### PraxisAI — AI Cognitive Journal (GenAI + RAG)
- **Live Demo**: https://praxiss-ai.netlify.app/
- **Repository**: https://github.com/Qambar-dev-0207/PraxisAI
- **Domain**: Generative AI, Retrieval-Augmented Generation (RAG)
- **Architecture**: Text and audio capture, speech transcription, cognitive reframing lenses (Stoic Filter, First Principles, Devil's Advocate), and private knowledge RAG vector retrieval.
- **Tech Stack**: Next.js, MongoDB, OpenRouter, Gemini.

### PathOS — Career Execution Engine
- **Live Demo**: https://ospath.netlify.app/
- **Repository**: https://github.com/Qambar-dev-0207/PathOS
- **Domain**: Career Intelligence, Algorithmic Planning
- **Tech Stack**: Next.js, TypeScript, MongoDB, JWT, OpenRouter / Gemini.

### NullSignal — Offline Emergency Mesh Intelligence
- **Repository**: https://github.com/Qambar-dev-0207/NullSignal
- **Domain**: Decentralized Communications, Edge AI, Disaster Response
- **Architecture**: Offline-first mesh network transforming smartphones into P2P relay nodes using BLE and Wi-Fi Direct with end-to-end Ed25519/X25519/AES-256-GCM encryption and on-device LiteRT AI medical triage.
- **Tech Stack**: Flutter, Dart, BLE, WiFi Direct, Ed25519, LiteRT-LM.

### LeafLens — Agricultural Deep Learning & Grad-CAM
- **Repository**: https://github.com/Qambar-dev-0207/LeafLens
- **Domain**: Computer Vision, Explainable AI (XAI)
- **Tech Stack**: PyTorch, TensorFlow, OpenCV, Grad-CAM, Raspberry Pi.

## Core Technical Competencies
- **Agentic AI**: Multi-Agent Orchestration, Task DAGs, Self-Healing Loops, Model Context Protocol (MCP), Memory Tiers, Semantic Routing.
- **GenAI / LLMs**: Gemini, Claude, GPT APIs, OpenRouter, Groq, RAG Pipelines, Vector Embeddings, Structured Outputs.
- **Computer Vision**: MediaPipe, YOLO / Ultralytics, PyTorch, TensorFlow, OpenCV, Grad-CAM, CNNs, Transfer Learning.
- **Backend & Systems**: FastAPI, Node.js, Express, Django, REST APIs, Redis, MongoDB, PostgreSQL, ChromaDB, Cloudflare Workers/R2.
- **Languages**: Python, TypeScript, JavaScript, Java, C++, Dart, SQL.
- **Cloud & DevOps**: Docker, Git, GitHub, Vercel, Netlify, AWS Lambda, Playwright, Puppeteer, Linux.

## Education
- **B.Tech in Computer Science and Engineering**: Integral University, Lucknow (2024–2027) | CGPA: 7.4
- **Diploma in Computer Science and Engineering**: Integral University, Lucknow (2021–2024) | CGPA: 8.6
- **ICSE Class X**: 85% (2021)