Senior software/platform engineer with experience across startups, consulting, and enterprise environments. Most recently led an MLOps engagement for a Tier-1 financial services client, owning architecture and technical planning for production ML infrastructure. Previously built production cloud/data platforms at Torc Robotics and Moody’s, and have also worked as a fractional technology leader and founding engineer for an early-stage e-commerce startup.
I’m strongest in roles with broad technical ownership — backend/platform engineering, cloud infrastructure, production ML/AI systems, and taking ambiguous problems from architecture through implementation. I’m also comfortable working directly with clients and founders, leading technical discovery, and owning engagements end-to-end.
Looking for senior/staff software, platform, MLOps/ML infrastructure, or forward-deployed engineering opportunities.
Remote: Yes — US
Willing to relocate: Open to the right opportunity
Technologies: Python, AWS, Azure, Terraform, Docker, CI/CD, REST APIs, distributed systems, SQL, data/ETL pipelines, SageMaker, PyTorch, ML/AI infrastructure
Résumé/CV: Available upon request
Email: [[email protected]](mailto:[email protected])
Senior software/platform engineer with experience across startups, consulting, and enterprise environments. Most recently led an MLOps engagement for a Tier-1 financial services client, owning architecture and technical planning for production ML infrastructure. Previously built production cloud/data platforms at Torc Robotics and Moody’s, and have also worked as a fractional technology leader and founding engineer for an early-stage e-commerce startup.
I’m strongest in roles with broad technical ownership — backend/platform engineering, cloud infrastructure, production ML/AI systems, and taking ambiguous problems from architecture through implementation. I’m also comfortable working directly with clients and founders, leading technical discovery, and owning engagements end-to-end.
Looking for senior/staff software, platform, MLOps/ML infrastructure, or forward-deployed engineering opportunities.