{"id":"kartik-bhat","title":"Kartik Bhat","content":"**Kartik Bhat** is a founding engineer at [Sei Labs](https://iq.wiki/wiki/sei), where he serves on the core protocol team with a technical focus on distributed systems and database storage. He has a background in deep learning, with previous engineering roles at NVIDIA and Vicarious, where he contributed to autonomous vehicle systems and neural network research. [\\[3\\]](#cite-id-ge1SxliUl8IOYfbT) \n\n## Education\n\nBhat is a graduate of Carnegie Mellon University’s School of Computer Science. [\\[1\\]](#cite-id-AxnZFxNuPJoG5eNn) [\\[2\\]](#cite-id-B9azjvUoGmjpbUD8)​\n\n## Career\n\nBhat began his career in deep learning and autonomous systems, working from 2018 to 2020 as a Deep Learning Engineer at NVIDIA on the Autonomous Vehicles team, where he focused on path perception for self-driving systems. He joined Vicarious in 2020 as a Research Engineer on the Neural Networks Vision Team, remaining until 2022, during which time the company was acquired by Google and later integrated into its robotics division, Intrinsic. In 2022, he became a Founding Engineer at [Sei Labs](https://iq.wiki/wiki/sei), contributing to the core protocol development of the [Sei](https://iq.wiki/wiki/sei) [blockchain](https://iq.wiki/wiki/blockchain) with an emphasis on distributed systems and storage architecture. [\\[1\\]](#cite-id-AxnZFxNuPJoG5eNn) [\\[4\\]](#cite-id-DFlQI5OumhycIJln) \n\n## Technical Contributions and Expertise\n\nAt [Sei Labs](https://iq.wiki/wiki/sei), Bhat has focused on improving the performance and scalability of the [Sei](https://iq.wiki/wiki/sei) [blockchain’s](https://iq.wiki/wiki/blockchain) core infrastructure. He has played a key role in the design and implementation of the Composite State Store, including development of a legacy database component to support [EVM](https://iq.wiki/wiki/ethereum-virtual-machine-evm)-related keys that did not align with newer optimized data structures. His work has covered critical storage-layer pathways, including read and dual-write logic, Write-Ahead Log (WAL) integration, and pruning management to control long-term state growth. He has also contributed to performance enhancements such as parquet-based receipt storage leveraging DuckDB for efficient range queries, Pebble database compaction tuning, configurable I/O rate limiting for snapshot generation, and the introduction of asynchronous state snapshot pruning to reduce node performance degradation. In addition, he has contributed to updates supporting Inter-Blockchain Communication (IBC), strengthening the protocol’s cross-chain capabilities. Alongside his [blockchain](https://iq.wiki/wiki/blockchain) systems engineering, Bhat maintains involvement in AI and machine learning infrastructure, particularly in areas related to large-scale model training, inference optimization, and production deployment tooling. [\\[2\\]](#cite-id-B9azjvUoGmjpbUD8) ","summary":"As a founding engineer at Sei Labs, Kartik Bhat focuses on distributed systems and storage. He previously researched neural networks and autonomous systems in deep learning roles at NVIDIA and Vicarious.","images":[{"id":"QmbdVz5KpChuuPXmiDWvafEw1sAzSKZiPzQWUnYkGJnnCn","type":"image/jpeg, image/png"}],"categories":[{"id":"people","title":"people"}],"tags":[{"id":"PeopleInDeFi"},{"id":"Developers"},{"id":"Founders"},{"id":"Blockchains"},{"id":"AI"}],"media":[],"metadata":[{"id":"references","value":"[{\"id\":\"AxnZFxNuPJoG5eNn\",\"url\":\"https://www.linkedin.com/in/kartik-bhat-922b68235/\",\"description\":\"Kartik Bhat LinkedIn Profile\",\"timestamp\":1771420819794},{\"id\":\"B9azjvUoGmjpbUD8\",\"url\":\"https://github.com/Kbhat1\",\"description\":\"Kartik Bhat GitHub Profile\",\"timestamp\":1771420819794},{\"id\":\"ge1SxliUl8IOYfbT\",\"url\":\"https://www.seilabs.io/\",\"description\":\"Sei Labs Official Website\",\"timestamp\":1771420819794},{\"id\":\"DFlQI5OumhycIJln\",\"description\":\"Sei Network Team pt 2 | Medium\",\"timestamp\":1771439468251,\"url\":\"https://medium.com/@turchmanovich101/sei-network-team-part-2-a2794d685b08\"}]"},{"id":"twitter_profile","value":"https://x.com/KartikB101"},{"id":"github_profile","value":"https://github.com/Kbhat1"},{"id":"linkedin_profile","value":"https://www.linkedin.com/in/kartik-bhat-922b68235/"},{"id":"commit-message","value":"\"Added Kartik Bhat wiki page\""}],"events":[{"id":"f6f079a3-3043-4ef6-8202-a5ae0ba254cc","date":"2018-01","title":"Joined NVIDIA as Deep Learning Engineer","type":"DEFAULT","description":"Began his career as a Deep Learning Engineer at NVIDIA, working on the Autonomous Vehicles team with a focus on path perception.","link":"https://www.linkedin.com/in/kartik-bhat-922b68235/","multiDateStart":null,"multiDateEnd":null,"continent":null,"country":null},{"id":"6c0a3d7f-0ce3-4c39-994e-1cf9936ebf32","date":"2020-01","title":"Joined Vicarious as Research Engineer","type":"DEFAULT","description":"Served as a Research Engineer in Deep Learning at Vicarious, contributing to the Neural Networks Vision Team. During his tenure, Vicarious was acquired by Google.","link":"https://www.linkedin.com/in/kartik-bhat-922b68235/","multiDateStart":null,"multiDateEnd":null,"continent":null,"country":null},{"id":"ed6de103-04f1-4cf5-a8a6-e8d795897097","date":"2022-01","title":"Became Founding Engineer at Sei Labs","type":"DEFAULT","description":"Became a Founding Engineer at Sei Labs, working on the core protocol team with responsibilities in distributed systems and database storage.","link":"https://www.linkedin.com/in/kartik-bhat-922b68235/","multiDateStart":null,"multiDateEnd":null,"continent":null,"country":null}],"user":{"id":"0x8af7a19a26d8fbc48defb35aefb15ec8c407f889"},"author":{"id":"0x8af7a19a26d8fbc48defb35aefb15ec8c407f889"},"operator":{"id":"0xacb6c5AD52b8f605299B0d774CE97F26e3DB80c2"},"language":"en","version":1,"linkedWikis":{"blockchains":[],"founders":[],"speakers":[]}}