Arjun Kava is a Chief AI Scientist and founder with nine years of experience building large-scale video and live-streaming infrastructure, currently leading research at Video SDK to cut live video costs and improve global delivery with ML-driven packet routing and neural compression. He combines deep research in compilers, real-time deep learning, and transformer-based video analysis with hands-on systems work—shipping QUIC/UDP media stacks, edge super-resolution, and AV1/AVIF pipelines that scale to millions of concurrent users. Previously a CTO and chief scientist, he has a track record of establishing R&D teams, designing session-based recommendation engines, and deploying interactive video features for production at scale. A passionate educator who guest-lectures on AI and mentors students and founders, he brings both startup agility and research rigor to problems like video KYC, banking, and claims. Less obvious: he pairs low-level protocol optimization with neural algorithm design, enabling 10x cost reductions by co-designing models and delivery infrastructure.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (BE) Computer Engineering, Bachelor of Engineering (BE) Computer Engineering at Gujarat Technological University (GTU)
Sardar Vallabhbhai National Institute of Technology, Surat
High School Diploma Computer Science, High School Diploma Computer Science at BALAJI INSTITUTE OF COMPUTER SCIENCE AND TECHNOLOGY
Contributions:33 PRs, 41 pushes, 24 branches in 1 year 5 months
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