I am an ML & MLOps Engineer with 8 years of experience in turning ML research into production revenue for startups and large enterprises.
Ex-Comet ML Customer-Facing Lead, guided Fortune 500 companies in experiment tracing, lineage, and large-scale LLM assessment pipelines.
Toolbelt: AWS / Azure / GCP, Kubernetes, Spark, Airflow, SageMaker, CI/CD automation—covering the entire model life-cycle from design to performance optimization.
I also run my own AI company and launched 10+ voice & chat agents automating outreach, follow-ups, and support for real-estate and e-commerce businesses—leveraging prompt-engineering against real-world business metrics.
I believe the winning teams of this decade balance good engineering with thoughtful AI adoption. My objective: help them develop, test, and scale ML systems—marrying robust MLOps with modern LLM best practices.
I am open to remote opportunities as a Senior ML Engineer, MLOps Architect, or Customer Engineer where technical ability and customer knowledge go hand in hand.