Overview
Machine learning engineer focused on deep learning and agentic AI, with hands-on experience taking systems from research prototypes into deployed products. Work spans tool-using LLM workflows, cloud-delivered AI services, and healthcare NLP research, backed by a software engineering foundation in performance-sensitive simulation systems with a strong focus on reliability and maintainable design.
Experience
Selected work across agentic AI, research, simulation, and graph systems.
Microsoft
Lead ML Engineer (Secondee Via UST) · Applied AI systems
- Designing and delivering production-grade AI workflows from early concept through deployment.
- Building agent-driven systems with strong emphasis on reliability, traceability, and human oversight.
- Collaborating across engineering teams to improve platform quality, observability, and secure system design.
Thesis Research
MSc AI Research · Radiology report summarization
- Developed a two-stage fine-tuning pipeline for clinical report summarization using LLaMA and T5 variants.
- Built preprocessing and supervision pipelines for longitudinal radiology narratives with strict signal preservation goals.
- Expanded evaluation beyond summary overlap with BLEU-4, ROUGE-L, METEOR, BERTScore, and RadGraph-oriented quality checks.
CAE
Immersive Environment Developer · Simulation systems
- Diagnosed and resolved high-impact defects in a real-time flight simulation codebase to improve stability and root-cause speed.
- Implemented avionics and environment features under strict real-time constraints, including LiDAR-style scene encoding.
- Developed automated regression tests, packet-level diagnostics, and performance optimizations for internal tooling pipelines.
Conova AI
Full-Stack Intern · Graph and localization tooling
- Built an internal Neptune administration console with end-to-end graph entity CRUD workflows.
- Implemented serverless API integrations for graph operations and user-group management.
- Automated translation and localization ingestion by integrating external API services into backend workflows.
Personal Projects
Project work spanning healthcare NLP, adaptive streaming, computer vision, and reinforcement learning.
Radiology Report Summarization
Built a thesis-driven clinical NLP system with staged fine-tuning and metric-based quality validation across public and custom datasets.
Dash Streaming
Implemented an adaptive DASH streaming system that optimizes segment delivery and playback quality under changing network conditions.
Surgical Tool Detection
Trained a YOLO-based detection pipeline with video-aware splitting and augmentation tuning for robust operating-room performance.
RL Music Composition Agent
Implemented an autonomous chord-generation agent that combines sequence modeling with a custom reward strategy for balance and novelty.
Technical Skills
Core technical areas reflected from current engineering and research work.