Our work centers on large-scale automation, deep-learning-driven simulations, and the development of custom tooling for advanced security and data analysis.
•Built a GPU-accelerated simulation engine capable of modeling billions of interactions with deep learning–driven behavioral dynamics.
•Designed and delivered end-to-end backend and frontend systems, including workflow automation, multi-account orchestration, and secure integrations with external services. Focused on on-prem and isolated deployments, reliability, and clean REST API design.
•Architected and implemented distributed services using Docker and Kubernetes, including task runners, session-management components, isolated worker services, and VPN-based routing across separate network environments.
•Implemented a Geo-IP routing service to direct users to the closest streaming nodes based on region and network conditions.
•Worked on adaptive streaming pipelines (HLS/DASH), media-file encryption, and custom DRM integration for secure content delivery.
•Developed Android and iOS app enabling field operators to capture and upload live video with geolocation, with the ability to search and browse content (live/time-shift/VoD) based on location.
