At Pocket FM, I optimized the image-processing pipeline, reducing image-processing jobs by 70%. I also migrated critical microservice workflows to event-driven processing and helped decompose a centralized database into service-specific databases without downtime.
Earlier at Pocket FM, I built a scalable video-processing system with a 99%+ success rate and reduced manual effort by 95%. I also developed a reusable media access service using S3 and CloudFront presigned URLs.
At Maino AI, I designed and built an AI video generation platform integrating three or more generative video models. I also developed a multi-tenant SSO platform and API Gateway for unified authentication and authorization across 10+ services.
I started at Pocket FM as a Backend Development Intern, designing backend data-extraction tools that saved 20+ human hours weekly. My work has included Django REST Framework APIs, a DRM and encryption pipeline, and audit logging indexed in Elasticsearch.

