☕️Machine Learning Engineer experienced in building real-time, production-grade NLP, retrieval, and agentic systems. Skilled in foundation model development, from data pipelines to LLM orchestration and evaluation. Adept at bridging research and engineering to deliver scalable, high-impact AI solutions.
Interests
- Machine Learning
- Retrieval & LLM systems
- Medical AI
- Time-Series Forecasting
Education
Master of Computer Science (Thesis), Machine Learning
Carleton University
Honours Bachelor of Computer Science, AI Specialization
University of Ottawa
📚 Background
I’m a Machine Learning Engineer who bridges foundational model research and production ML engineering. My Master’s research applied state-of-the-art NLP techniques to medical datasets, and in industry I design and deploy robust LLM-driven retrieval and agent systems, build scalable data pipelines, and implement production model serving and evaluation frameworks.
I enjoy collaboration across research and engineering — if you’re working on applied ML, model infrastructure, or evaluation at scale, let’s talk.
🚀 Technical Strengths
🤖 Machine Learning
💻 Engineering
Featured Work
Let’s Connect
Interested in collaborating on ML research, discussing production AI systems, or exploring opportunities? I’m always open to connecting with fellow researchers and engineers working at the intersection of AI and real-world applications.