Open to opportunities

Stephen Chen

@stephenchen

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Senior AI & ML engineer specializing in generative AI, LLM agents, and production ML systems.

United States

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What I'm looking for

I seek roles building production generative AI and LLM agent platforms with strong MLOps, scalable inference, collaboration with research/product teams, and opportunities to mentor engineers.

I am a Senior AI and Machine Learning Engineer with 10+ years building production-grade ML systems across generative AI, LLM-powered agents, computer vision, and predictive modeling. I translate cutting-edge research in LLMs, reinforcement learning, and multimodal ML into reliable, secure, and cost-efficient production systems, and I have led architecture and mentorship efforts to scale real-world AI products.

My work includes designing autonomous LLM agent platforms, scalable inference stacks, RAG systems, and MLOps pipelines using Kubernetes, Ray, Docker, GPU acceleration, and cloud-native services. I have driven measurable improvements—reducing inference latency and compute cost, improving model accuracy and robustness, and advancing clinical and enterprise ML deployments—while maintaining compliance and strong observability practices.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

Adept

Sep 2023 - Present (2 years 4 months)

Built production-grade LLM agent pipelines and scalable inference infrastructure, improving agent task reliability and reducing per-task compute costs through distillation and dynamic routing.

LLM AI Agents PyTorch Kubernetes Ray CUDA Triton RAG Prompt Engineering

AI/ML Engineer

Sword Health

Mar 2020 - Aug 2023 (3 years 5 months)

Developed real-time pose-estimation and personalized rehabilitation models, improving exercise accuracy feedback by 30%+ and reducing inference latency by 35% via quantization and pruning.

Computer Vision TensorFlow OpenPose PyTorch MLFlow Docker fastAPI Model Quantization

Machine Learning Engineer

AmplifAI

Sep 2017 - Feb 2020 (2 years 5 months)

Built end-to-end predictive and NLP models for customer behavior and conversation intelligence, improving forecast accuracy 18–25% and reducing deployment errors by 40% via MLflow and CI.

Python XGBoost Spark MLFlow NLP Flask AWS

Software Engineer

Bloomfire

Feb 2015 - Aug 2017 (2 years 6 months)

Implemented core knowledge-sharing and search features, integrating Elasticsearch and optimizing backend services to reduce search response times ~40% and increase weekly active usage ~20%.