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AI Engineer & Deep Learning Specialist
I design and deploy Large Language Models, Retrieval-Augmented Generation systems, and autonomous AI agents that bridge cutting-edge research with production-grade reliability. I love solving complex problems that matter.
Building intelligent systems that transform ideas into products
I'm an AI Engineer specializing in Large Language Models, Retrieval-Augmented Generation, and production ML systems. I turn cutting-edge research into reliable, scalable products.
Whether it's fine-tuning foundation models, building intelligent agents, or architecting end-to-end ML pipelines — I focus on delivering measurable impact with clean, maintainable code.
Production-grade AI systems with measurable impact. Click to explore the architecture, challenges, and results.
Architected an enterprise-ready Retrieval-Augmented Generation system handling 10K+ documents with sub-200ms response times. Features semantic chunking, hybrid search (BM25 + vector), re-ranking with cross-encoders, and streaming responses.
Built a complete autograd engine from scratch, implementing computational graphs, automatic differentiation, and gradient-based optimization. Educational project deepening understanding of PyTorch internals.
Fine-tuned open-weight LLMs using LoRA/PEFT for domain-specific applications. Implemented custom evaluation harnesses, safety filters, and optimized inference for production deployment.
Top 13 nationally in BCI competition. Built signal processing pipelines and deep learning models for EEG pattern recognition, achieving superior accuracy in brain-computer interface classification.
Recognition earned through competitive problem solving.
Top 13 out of 200+ teams · Kaggle · March 2025
Hands-on roles focused on delivering machine learning impact.
High-intensity program specializing in deep learning, modeling pipelines, and production workflows.
Focused on deploying ML models with Azure tooling and reinforcing production best practices.
Core technologies powering AI solutions
Ongoing learning across AI, ML, and data science disciplines.
Feedback from mentors, colleagues, and collaborators.
Open to collaborations, research initiatives, and ambitious product roadmaps.
I love working with teams that care about building responsible, high-impact AI products. Whether you're exploring something bold or need help with ML engineering, I'd love to talk.