I am currently an Applied AI/ML Researcher at Huawei Canada working primarily on LLMs for code/software engineering (e.g. agentic AI, Code LLM training & evaluation, RL-based training, ML deployment and optimization).

I completed my M.Sc. at Probabilistic Vision Group (PVG) lab under Dr. Tal Arbel at McGill University and Mila Quebec AI Institute, researching applications of deep learning in the medical domain, related to 3D brain imaging (MRI), clinical data, and neurological diseases such as Multiple Sclerosis and Alzheimer's diseases (e.g. disease prediction, segmentation, and detection). Primarily, my focus was on metalearning, transformers models, and attention mechanisms for multimodal learning in medical ML. Prior to that, I completed my B.Eng, Computer Engineering at Toronto Metropolitan University (formerly Ryerson University), where I assisted with research into ML applications in biomedical signal processing and ML on edge optimizations at Ryerson Multimedia Lab.

Feel free to reach out on LinkedIn!

Research Interests (ever changing)

• Applied LLMs for Code & Software Engineering
• AI Agents
• Reinforcement Learning (RL) for LLM
• ML Engineering & Optimization (ML on edge)
• Medical ML
• Computer Vision & Multimodal Learning
• Metalearning & Learning Dynamics