Santosh Rai is an AI Automation Engineer with over 15 years of experience building scalable enterprise systems and production-grade deep learning pipelines for real-time video, language, and time-series inference. He has architected cost-efficient private cloud media platforms that stream terabytes of video and built end-to-end computer vision and personalization stacks for DOOH ad-tech, combining Transformers, CNNs, and transfer learning to run on edge devices. At Sasways he engineered a full live-streaming infrastructure (NGINX-RTMP, FFmpeg, MPEG-DASH/HLS) and bespoke ad-distribution algorithms, and today leads development of an LLM-agent driven observability platform for multi-exabyte, multi-region data centers at Wasabi. Comfortable across systems, cloud, and embedded stacks, he blends low-level protocol work (MQTT/EMQX, Kafka) with applied ML (BERT, LLaMA, ResNet) and a history of turning research-grade models into cost-optimized production services.
10 years of coding experience
22 years of employment as a software developer
Indian Institute of Technology Roorkee
M.Tech Electrical Engineering, M.Tech Electrical Engineering at Indian Institute of Technology (Banaras Hindu University), Varanasi
This is react based system for restaurant and cafe
Contributions:5 PRs, 3 pushes, 4 branches in 2 years 5 months
reactreduxcafereactjsrestaurant
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