Backend and Data Platform Engineer with 3.5 years building production systems at scale across AI/ML pipelines, multi-vendor integration, and multi-tenant SaaS. At StorageDNA, built the AI ingestion and normalization layer spanning 18 cloud and AI providers feeding a unified MongoDB schema for petabyte-scale media catalogs used by Netflix and Warner Bros. — the feature behind StorageDNA's IBC 2025 award. Rewrote the platform API to v2 with 400+ endpoints serving both client self-service and LLM-agent consumption, showcased at NAB 2026 and MPTS 2026. Previously built the backend of Healthray, a healthcare SaaS serving 1,500+ organizations and 10,000+ doctors, including multi-tenant RBAC, query optimization from 16s to under 2s, Docker infrastructure, and Jenkins CI/CD. Skilled in Node.js, Python, Ruby on Rails, MongoDB, MySQL, Redis, Docker, Jenkins, AWS, GCP, and Azure. Open to remote and global backend, AI platform, and data infrastructure roles. Available immediately.
Member Since
May 30, 2026
Last Active
22 days ago