Muzamil Waheed

I'm a final-year BSCS student at FAST-NUCES Islamabad,

graduating in December 2026, with a strong focus on

AI/ML development and Cybersecurity.

I completed an AI internship at InoTech (Jun-Aug 2024)

where I developed AI-driven tools, integrated LLMs into

production web applications, and optimized ML models

for real-world deployment.

My flagship project is a Medical Report Analyzer built

with RAG, LLaMA 3.3, FastAPI, and React — achieving

85%+ retrieval accuracy and reducing latency from 8

seconds to 2 seconds. I also built a Multi-Agent AI

Research Assistant using LangChain and CrewAI, and an

AI-powered Cybersecurity Threat Detector trained on

50,000+ network traffic samples.

My core stack includes Python, PyTorch, TensorFlow,

LangChain, CrewAI, FastAPI, React, Docker, and

vector databases like ChromaDB and FAISS. I have

hands-on experience with OpenAI and Groq APIs,

RAG pipelines, and LLM integration.

I also served as a Teaching Assistant at FAST-NUCES,

mentoring 60+ students in Object-Oriented Programming.

I'm actively seeking a remote AI/ML internship where

I can contribute to real-world AI systems and grow

as a professional before transitioning to a full-time

role in early 2027.