Steven Wong

Senior Machine Learning Engineer with 8 years of experience designing, building, and deploying large-scale, production-ready AI and machine learning systems across enterprise, financial services, healthcare, and energy sectors. Proven expertise in developing custom Large Language Models (LLMs), Computer Vision solutions, and Retrieval-Augmented Generation (RAG) architectures using PyTorch and TensorFlow. Extensive experience in Machine Learning Operations (MLOps), including model development, versioning, CI/CD automation, containerization, and orchestration using Docker, Kubernetes, Helm, ArgoCD, and Databricks. Skilled in building highly scalable, fault-tolerant data pipelines and distributed data processing systems using Apache Spark, Pandas, Dask, and multi-cloud environments (AWS, Azure, GCP). Strong background in building secure, compliant, and reliable AI platforms in regulated environments, including finance, healthcare (HIPAA), and energy markets (NERC/FERC). Experienced in integrating AI services into modern backend and frontend architectures using Django, Flask, FastAPI, React, Next.js, and TypeScript. Recognized for delivering high-impact, production-grade AI systems, driving operational efficiency, and enabling data-driven decision-making.