Vinay Sawant

Developed cryptographic protocols for a decentralized system enabling secure key generation and provable encryption using distributed key management. Engineered a system to derive cryptographic keys from human attributes while preserving privacy, enabling secure authentication and nullier-based identities.

Experienced in L1 blockchain development, focusing on computationally lightweight block mining and consensus algorithms. Designed and developed Left Right Concurrency over Mempool, enabling efficient broadcast over UDP through the use of RaptorQ in the networking stack.

Collaborated with world-renowned PhDs to develop a Hybrid Consensus (Proof of DTS) for Layer 1 blockchain. Designed and implemented modules for critical components, including nested DKG, Transaction Engine, Tribe Clan Model, Batch Proposer, Block Proposer, Threshold Signer, and BLS Sig Aggregator.

Worked as Technical Architect for Fintech services development, building a powerful backend infrastructure utilizing MicroServices with REST/gRPC APIs. Implemented a system with a calibrated ML model that reduced the likelihood of loan defaults by 40%.

Solved the problem of Cold-Start Recommendation Engine for recommending music using Audio Data. Worked on solving large-scale data engineering problems by building large pipelines and backend microservices.

Worked as a trainee, gaining hands-on experience in Business Intelligence (BI) tools, focusing on QlikView. Utilized QlikView to build visually appealing and interactive dashboards for marketing analytics.