Software Development Engineer III at Kotak Mahindra Bank
Greater Bengaluru Area India
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Summary
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Senior
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Top School
Tushar Soni is a Software Development Engineer III with 10 years of experience building production-grade distributed systems and microservices, currently based in Bengaluru. He brings strong Java/C++ expertise with a focus on SOLID design, high- and low-level architecture, and observability-driven operations using tools like Spring Boot, Kafka, SQL/NoSQL and DataDog. His career spans large-scale environments at Amazon and fintech at Kotak Mahindra Bank, plus early-stage product and research work at startups and volunteer open-source projects. Tushar mentors junior engineers and conducts technical interviewing, pairing algorithmic rigor with pragmatic system design. An active contributor to OpenMined’s PySyft, he has improved core tensor operations for privacy-preserving data science—an uncommon intersection of distributed systems and privacy-aware ML tooling.
10 years of coding experience
8 years of employment as a software developer
Bachelor's Degree, Electronics and Communication Engineering, Bachelor's Degree, Electronics and Communication Engineering at The LNM Institute of Information Technology
Physics, Chemistry and Mathematics, IIT JEE Prepration, Physics, Chemistry and Mathematics, IIT JEE Prepration at Resonance Eduventures Limited
Future Founder Startup School, Future Founder Startup School at Y Combinator
Applied Computer Science, Applied Computer Science at Scaler
High School, Science and Mathematics, High School, Science and Mathematics at Arvind Educational Society Sr. Sec. School
Perform data science on data that remains in someone else's server
Role in this project:
Data Scientist
Contributions:25 commits, 4 PRs, 9 comments in 8 days
Contributions summary:Tushar focused on implementing and refining functionality related to tensor operations within the PySyft framework. Their contributions included implementing and re-implementing the `diag` function, which calculates the diagonal of a tensor and handling different tensor dimensions. Furthermore, they added and updated corresponding tests for the `diag` function in the `test_math.py` and `test_tensor.py` files. These changes were aimed at enhancing core tensor operations for privacy-preserving data science.
An Action for Google Assistant! Let's try it from this url
Contributions:3 PRs, 48 pushes, 1 branch in 3 years 2 months
herokuaogpythonfirestore-databaseassistant
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