AI Engineer | GenAI | MLOps | RAG

Empowering Innovation with
AI-Powered Solutions

I bridge the gap between academic research and production-grade software. As a Founding AI Engineer and Top-Ranked Student (4× Gold Medalist), I architect scalable systems that handle real-time inference, moving beyond static notebooks to deliver production-ready AI.

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Technical Skills

A comprehensive toolkit for building end-to-end AI solutions.

Core Expertise Areas

Python95%
PyTorch92%
FastAPI90%
AWS88%
Docker87%
LangChain85%

Languages

Python
C++
SQL

AI & Frameworks

PyTorch
TensorFlow
LangChain
Hugging Face
OpenAI API
RAG

MLOps & Tools

MLflow
Apache Airflow
DVC
Docker
GitHub Actions

Backend & Cloud

FastAPI
Flask
AWS
Redis
Celery

Featured Projects

A selection of my recent work in AI and Software Engineering.

Suspicious Behavior Detection System

Suspicious Behavior Detection System

🔧 Refactoring
PythonPyTorch3D CNNsMILComputer Vision

Real-time surveillance system utilizing 3D ResNet-18 and Multiple Instance Learning (MIL) to detect anomalies in the UCF-Crime dataset with SOTA temporal localization accuracy.

CodeLive Demo
End-to-End MLOps Pipeline

End-to-End MLOps Pipeline

🔧 Refactoring
AWSAirflowFastAPIDockerMLflowDVC

Automated ML lifecycle platform using DVC for data versioning, MLflow for tracking, and GitHub Actions for CI/CD. Orchestrates ETL DAGs with Airflow and deploys FastAPI services on AWS EC2.

CodeLive Demo
Context-Aware Multimodal Recommender

Context-Aware Multimodal Recommender

🔧 Refactoring
PythonRAGFAISSTransformersOpenAI

Hybrid RAG engine fusing user preferences with live OpenWeatherMap API data using FAISS vector search. Fine-tuned transformer models serve dynamic lifestyle recommendations.

CodeLive Demo
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What People Say

Top endorsements from collaborators, mentors, and clients that reflect my work across LLM systems, MLOps, and production-focused engineering.

"I worked with Muzammil on a weather-based clothing and activities recommendation system during our Applied Recommendation Systems course. He excelled in fine-tuning multiple LLMs, integrating RAG, and implementing FAISS for efficient search. Muzammil's technical skills and collaborative approach make him highly suited for roles in AI and machine learning."

Project Collaborator

Applied Recommendation Systems

Let's Build Something Together

I'm always looking for new challenges and opportunities to apply AI to real-world problems.