AI Engineer & Products

2014-2015: Neural Networks & Computer Vision Foundations

Started working with neural networks at University of Toronto with students who worked under Prof. Geoffrey Hinton's research group. Applied machine learning to wearable computing, Brain-Computer Interfaces (BCI), and computer vision systems with Prof. Steve Mann (father of wearable computing).

2023-Present: LLMs, AI Agents & MLOps

Completed Coursera-based Andrew Ng's Math, ML and Deep Learning specializations, mastering supervised/unsupervised learning, optimization algorithms, and ML engineering best practices. Transitioned to Large Language Models, AI agents, and modern ML pipelines through Fast.ai and DeepLearning.ai courses, building production systems with:

• • AI Agents: Multi-agent systems with memory, tool use, and reasoning
• • ML Pipelines: End-to-end MLOps, model deployment, and monitoring
• • RAG Systems: Retrieval-Augmented Generation for enterprise knowledge bases
• • Fine-tuning: Custom LLM adaptation for domain-specific tasks