I've delivered AI training datasets at EaglepointAI for projects including ByteDance Seed and Mindflow, while contributing to Aquila, an AI data production platform for assessment, sandboxed execution, deployment automation, and workforce operations.
At PragmaticDLT, I owned end-to-end product development from requirements gathering through deployment, using NestJS, Next.js, OpenAI, Docker, CI/CD pipelines, and AWS to build enterprise-ready products.
As a backend engineer at WAVIC, I optimized scalable TypeScript systems, managed cloud-based distributed deployments, and integrated Stripe for secure payments. Earlier at 4K Labs, I improved web application performance by 25% and user engagement by 20%, while reducing bugs by 40% through automated testing and debugging.
I'm also building CrowdAutomation, a multi-tenant operations platform with PostgreSQL row-level security, CI-enforced module boundaries, reporting, KPIs, and location-tracked staff attendance.
