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Mustafaiqbal2/README.md

Mustafa Iqbal

Applied AI & Full-Stack Engineer Building AI systems, workflow automation, developer tools, and CAD intelligence software.

I work mainly with Python, FastAPI, TypeScript, Next.js, PostgreSQL, Docker, APIs, RAG pipelines, vector search, OAuth, webhooks, and background jobs.

Currently based in Islamabad, Pakistan. Open to remote roles and relocation opportunities.

Portfolio · LinkedIn · Email


What I build

  • AI automation systems Production-style workflows using LLMs, embeddings, retries, webhooks, OAuth, scheduled jobs, and database-backed state.

  • RAG and AI product features Semantic search, vector databases, structured outputs, confidence-aware fallbacks, agent workflows, and practical LLM integrations.

  • Backend and full-stack systems FastAPI, Next.js, React, PostgreSQL, Supabase, Prisma, Docker, CI/CD, REST APIs, and async processing.

  • CAD intelligence and engineering automation Currently building a private CAD understanding system for architectural DXF/DWG data. The focus is extracting exact geometry, expanding blocks and arrays, separating drawing contexts, and using AI only as bounded evidence rather than letting it invent geometry.


Selected work

AI-Powered Email Categorization Platform

A Gmail automation system using embeddings, similarity search, confidence-aware LLM fallback, background jobs, webhooks, and feedback loops.

AI-Powered Review Response Platform

A Google Business Profile automation platform with OAuth2, real-time review synchronization, prompt templates, multi-location support, scheduled processing, and database-backed workflows.

Intelligent Recruitment Matching Platform

A recruitment automation system using RAG, Nomic embeddings, Weaviate, Llama via Groq, FastAPI, Docker, and structured candidate-job matching.

MelodyMind

A multimodal AI music companion built with FastAPI, Supabase/PostgreSQL, Pinecone, LangChain agents, React Native/Expo, speech-to-text, TTS, image-based playlist generation, and Spotify workflows.


Stack

AI / Data OpenAI APIs, Gemini, Groq, Llama 3, RAG, embeddings, semantic search, LangChain, Pinecone, Weaviate, FAISS, CLAP, InfoNCE

Backend / Infrastructure Python, FastAPI, Flask, Node.js, REST APIs, OAuth2, JWT, webhooks, Inngest, Docker, Docker Compose, GitHub Actions, Vercel, Render

Frontend / Product TypeScript, JavaScript, React, Next.js, React Native, Expo, Tailwind CSS

Databases PostgreSQL, Supabase, MongoDB, Prisma, SQLAlchemy, Alembic

Systems / Coursework C++, CUDA, OpenCL, MPI, OpenMP, Bash, parallel computing


Current focus

  • Applied AI systems that solve operational problems
  • AI integrations, automation, and workflow reliability
  • CAD and engineering software
  • High-performance and geometry-heavy systems
  • Building products with Claude Code and Codex while owning the architecture, debugging, testing, and deployment myself

Contact

Pinned Loading

  1. BIG_Document_RAG BIG_Document_RAG Public

    Python

  2. Neural-Network_Acceleration Neural-Network_Acceleration Public

    Cuda

  3. ASP-TaskAssist ASP-TaskAssist Public

    C#

  4. Canny_optimization Canny_optimization Public

    Cuda

  5. DNA-Matching-MPI DNA-Matching-MPI Public

    C++

  6. Object-Detection-CUDA Object-Detection-CUDA Public

    Python