Open to opportunities

Christopher Wang

@christopherwang1

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Senior AI/ML engineer specializing in LLM systems, RLHF, and MLOps.

United States

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What I'm looking for

I seek senior AI/ML roles building production LLM and RLHF systems, in collaborative teams that value reliability, scalability, and responsible AI.

I am a Senior AI and Machine Learning engineer with 13+ years building large-scale ML systems, specializing in LLMs, RLHF pipelines, RAG, and agentic AI. I design end-to-end AI platforms spanning data pipelines, distributed training, and real-time inference.

At production scale I’ve built RLHF systems with human evaluators and automated comparators, integrated RAG and retrieval orchestration, and developed LangChain-based prompt and tool orchestration to improve groundedness and safety.

I have deep experience optimizing distributed training and inference using PyTorch Distributed, DeepSpeed, Ray, and GPU acceleration, and deploying services on Kubernetes with autoscaling across Azure, AWS, and other cloud platforms.

I collaborate closely with research, product, and infrastructure teams, mentor junior engineers, and produce reproducible tooling for experiment configuration, model versioning, evaluation suites, and CI/CD to ensure reliable, maintainable AI systems.

Experience

Work history, roles, and key accomplishments

Senior ML Engineer

TogetherAI

Oct 2022 - Feb 2026 (3 years 4 months)

Designed and scaled RLHF, RAG, and agentic LLM pipelines for production, reducing hallucinations and improving groundedness and safety while optimizing distributed training and inference for cost and latency.

RLHF Pipeline RAG PyTorch DeepSpeed Vector Databases Distributed Training Azure OpenAI

ML Engineer / Data Scientist

ZestyAI

Jul 2019 - Sep 2022 (3 years 2 months)

Built large-scale Azure ML pipelines and AKS inference endpoints for property risk modeling using geospatial and imagery features, improving underwriting insights and model monitoring and deployment workflows.

AKS Docker Geospatial analysis CI CD Azure DevOps

Reinforcement Learning Engineer

OpenAI

Mar 2016 - Jun 2019 (3 years 3 months)

Developed and scaled deep RL agents and distributed training pipelines (multi-GPU/multi-node), improving throughput and convergence using curriculum learning, reward shaping, and population-based training.

Reinforcement Learning PyTorch Distributed Training MuJoCo PPO C Python

Junior ML Engineer

IBM

Aug 2013 - Jan 2016 (2 years 5 months)

Assisted development of predictive models and automated data pipelines for supply chain analytics, producing dashboards and ETL workflows that improved forecasting and reporting efficiency.

SQL Python Databricks Tableau ETL Data Cleaning Hadoop