Aditya Singh is a Forward Deployed Engineer with nine years of hands-on experience building production-grade AI and full-stack systems, currently focused on scalable generative AI and ML deployments. He has shipped end-to-end solutions from mobile on-device vision (sub-50ms inference) to enterprise RAG pipelines that cut analyst workloads by 80% and improved system accuracy to 89% with source-grounded traceability. His work includes large-scale computer vision engineering—fine-tuning YOLO on 125k+ frames, building novel recency-mask segmentation for motion-blurred ball tracking, and reconstructing 3D trajectories using ballistic physics—alongside robust data ingestion and OCR pipelines serving multilingual contracts. Comfortable bridging research, product, and deployment, he leads small teams to deliver measurable impact and repeatedly optimizes latency, accuracy, and traceability in real-world settings. Based in Bengaluru with an MS from UMass Amherst, he combines academic rigor with a habit of sharing and learning from the community.
USE OF RTC FOR 1to1 PEER calling and Videoconferencing
Contributions:1 review, 7 pushes, 1 branch in 5 years
callingvideoconferencingvideoffmpeg1to1
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