About me

Machine Learning Scientist with an M.Sc. in Computer Science from the University of Alberta, specializing in building and deploying LLM-based systems, including retrieval-augmented generation (RAG), agentic AI, and memory-augmented architectures.

Proven research experience in post-training alignment, inference-time scaling, and reasoning, with additional background in reinforcement learning and computer vision. Published at ICLR 2026, COLING 2025, and SemEval 2024.

Strong focus on making LLMs faster and more resource-efficient using quantization, FlashAttention, pruning, knowledge distillation, weight sharing, mixed-precision inference, and parameter-efficient fine-tuning (PEFT). Industry experience as a Software Engineer and Backend Developer, building scalable production systems using distributed architectures, search and retrieval infrastructure, Docker, Kubernetes, and cloud platforms.