Generative AI Engineer

Building practical AI products with LLMs and retrieval.

I'm Muhammad Bilal, a Computer Science undergraduate in Lahore. I focus on Generative AI applications using model APIs, LangChain, vector search, Python, FastAPI, and a dependable full-stack foundation.

ai_engineer.pyPython
Lahore, PakistanLocation

Available for remote collaboration

Generative AICurrent focus

LLM applications, orchestration, and retrieval

OpenAI · Gemini · LangChainAI learning stack

Supported by Python, FastAPI, and full-stack engineering

Expected 2029Education

BSCS at Lahore Garrison University

Selected projects

Product engineering that supports the AI layer.

Two shipped platforms showing the interface, API, dashboard, and workflow experience I bring to complete Generative AI products.

LaunchMind AI dashboard showing saved startup analyses and planning tools
01 / FeaturedAI startup planning platform

LaunchMind AI

A product platform for founders, students, and early-stage teams that transforms raw ideas into structured startup plans.

  • Next.js
  • TypeScript
  • Responsive UI
  • API integration
  • Postman
Vivid Horizon editorial dashboard showing publishing tools, content metrics, and quick-publish controls
02 / FeaturedTechnology publishing platform

Vivid Horizon

A technology publishing platform with a custom editorial management system for writing, publishing, organising, optimising, and analysing content.

  • Editorial dashboard
  • Content management
  • SEO workflows
  • Analytics
  • REST APIs

Generative AI focus

From model APIs to useful product experiences.

My current direction combines structured Generative AI learning with practical full-stack engineering across APIs, data, deployment, and responsive interfaces.

01

LLM application engineering

Building an applied understanding of LLM APIs, prompt-driven workflows, model integration, memory, and end-to-end Generative AI applications.

02

Retrieval and vector search

Learning how embeddings, retrieval workflows, and vector databases connect private knowledge to useful LLM responses.

03

Full-stack AI products

Combining AI services with Python, FastAPI, APIs, databases, and responsive interfaces to build complete product experiences.