AI Engineer | Software Developer
I build intelligent systems that bridge research and real-world applications.
Currently working on healthcare technology while exploring computer vision, large language models, agentic AI systems, and applied machine learning.
- Fine-tuning Large Language Models
- Quantization research (BitNet, QLoRA, LoRA)
- Retrieval-Augmented Generation (RAG)
- Agentic AI systems
- Local-first AI applications
- Human action recognition using YOLO
- Classroom behavior analysis
- Video understanding pipelines
- Ontology-driven scene interpretation
- Explainable AI
- Efficient language models
Languages
Python • Java • C# • C++ • SQL
Machine Learning
PyTorch • Transformers • PEFT • Hugging Face • YOLOv8 • OpenCV
Backend
Spring Boot • MongoDB • REST APIs
Exploring what happens when language models are trained on Buddhist canonical texts and contemplative literature.
A computer vision system for understanding student activities and classroom interactions using object-action relationships and contextual reasoning.
- Become a strong software engineer capable of building production-scale systems
- Deepen expertise in LLMs and AI engineering
- Contribute more to open source
- Publish technical writing and research
- Artificial Intelligence
- Machine Learning
- Computer Vision
- Systems Programming
- Software Architecture
- Buddhism
- Philosophy of Mind
- Human Learning
Building. Learning. Shipping. Repeating.
I believe the best way to understand a system is to build it.