I'm a senior Machine Learning Engineer designing and developing creative software/data solutions to enhance business productivity, gain insights & generate revenue.
- 🔭 Currently working as a Machine Learning Engineer - Senior Specialist at Vanguard Investments Canada, developing Gen AI solutions for Financial Advisors.
- 🌱 Proficient in Machine Learning techniques, data analytics, warehousing, and workflow orchestration (Apache Airflow, Kubeflow).
- 💡 Experienced in developing advanced CNN fingerprinting solutions (eBay, reducing fraud by 95%) and XGBoost models for churn prediction (Corus Entertainment, 90% accuracy).
- 💬 Ask me about anything related to ML pipelines, cloud platforms (AWS, GCP, Azure), or full-stack development.
- 📫 How to reach me: E-mail or Linkedin.
- ⚡ Fun fact: Winner of Toronto's largest hackathon, UofTHacks, in 2019.
- Machine Learning Engineer - Senior Specialist @ Vanguard Investments Canada (01/2026 - Present): Developing Gen AI solutions.
- Software Engineer - AI & ML @ eBay: Engineered a CNN fingerprinting solution to combat return fraud, reducing it by 95%. Developed pipelines for Computer Vision models.
- Machine Learning Engineer @ Corus Entertainment: Implemented AWS Rekognition and GCP for video content analysis and an XGBoost model for customer churn prediction.
- B.Sc.(Hons.) Mathematics, Statistics and CS @ University of Toronto
- Real-Time Speculative Decoding Visualization (01/2026): A full-stack system achieving 3.4x inference speedup for LLMs using speculative decoding.
- High-Performance LLM Evaluation Framework (12/2025): Built a four-tier evaluation framework with a logit drift guard for numerical regression detection on custom silicon.
- Multi-Agent Retrieval-Augmented Generation (RAG) system (12/2024): Engineered an efficient AI application using Langflow, OpenAI API, and Streamlit.
- Fine Tuning LLM with QLoRa (06/2023): Fine-tuned a 13B parameter LLM (Llama) using 4-bit quantization.