Portfolio
The following page showcases some of my papers and projects worked on by me over the last few years.
Canadian Codes
LLM Chatbot (RAG) built on a comprehensive collection of Canadian building codes to empower DIYers,
contractors, and small business owners
contractors, and small business owners
LangChain, NLP, Vector DB (ChromaDB, FAISS), LLMs (Mistral, Gemma, Llama2B), Embedding Models, MS Azure
Warnify
Detecting Fraudulent SMS messages with Machine Learning
Natural Language Processing, FastAPI, Tensorflow Serving, Mlflow, JavaScript, React, HTML/CSS
Fraudit
Detecting Fraudulent Loans with Scotiabank & University of Toronto
Deep-Q Reinforcement Learning - Lunar Landing
Quran Journey
Empowering young learners to learn the Quran efficiently
Baysian Non-Parametric Estimation to Entropy and Extropy based on Right Censored Data
In Monte Carlo Methods and Applications, 2022
Sparse Group Lasso Paper Review & Implementation
Best Paper Award from all Statistical Learning II students (Recieved 98%)
Resampling Methods
Nox - A real-time feedback link between professors and students to enhance learning
AI Conferences
Some of the AI conferences I had the pleasure to attend:AI Conferences Notes