Data Scientist and AI Engineer specializing in Retrieval-Augmented Generation (RAG) architectures. Driven by a disciplined approach to mastery and continuous learning. Based in Islamabad.
Advanced RAG Pipelines
Developed multiple architectures ranging from manual context-handling systems to fully integrated Streamlit and SQLite applications for intelligent document retrieval.
Real-Time Traffic Flow Prediction
End-to-end system integrating YOLOv11 for high-accuracy object detection with LSTM networks for predictive time-series analysis of traffic patterns.
FYP: Mechanical Noise Reduction
Engineered Convolutional Recurrent Neural Network (CRNN) models and a companion mobile application to successfully identify and reduce noise in mechanical systems.
- LangChain-Playbook-RAG-Agents-LLMs — Integrated Streamlit and SQLite architectures for intelligent document retrieval using LangChain.
- Traffic-Prediction-System-using-Arduino- — End-to-end system integrating YOLOv11 and LSTM networks for predictive time-series analysis.
- FYP-Mechanical-Noise-Reduction — CRNN models and companion mobile application to identify and reduce noise in mechanical systems.
- LeetCode-SQL-Challenges — SQL challenges from LeetCode.
~ / Currently Exploring: Preparation for rigorous Master's level research in Machine Learning and Artificial Intelligence.
System Architecture & ML Engineering. Built from the terminal.