Professional Overview
ML/LLM Engineer with 6+ years of experience building production AI systems across Microsoft, Snorkel AI, and Weibo. Experienced in LLM fine-tuning (LoRA/SFT, DPO/RL), RAG, multi-agent systems, evaluation benchmarks, and scalable ML infrastructure. Hands-on with Python, PyTorch, Azure ML, Docker, Kubernetes, and modern open-source models including L
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
