Shivam Sinha
About Shivam Sinha
Shivam Sinha is a Backend Engineer known for developing a query engine using Apache Drill and improving data workflows through custom solutions. He has extensive experience in backend design, particularly in microservices architecture, and has worked with several companies in various engineering roles.
Current Role at Locale.ai
Shivam Sinha serves as a Backend Engineer at Locale.ai, a position he has held since 2022. In this role, he focuses on backend design and maintenance for Locale v2.0, utilizing microservices architecture with Java and Python. His work aims to enhance product scalability and performance, contributing to improved data accessibility for clients.
Previous Experience in Software Development
Prior to his current role, Shivam Sinha worked at Innovaccer as an SDE-1 Backend for 10 months from 2021 to 2022. He also held positions at Avo Automation, where he served as a Product Engineer - Development for 3 months and as a Product Development Intern for 5 months in 2021. His early career included a 2-month internship at SLK in 2020.
Education and Technical Background
Shivam Sinha completed his Bachelor of Technology in Electrical, Electronics and Communications Engineering at The LNM Institute of Information Technology from 2017 to 2021. His educational background provides a strong foundation for his work in backend engineering and software development.
Key Contributions and Innovations
Shivam has pioneered the development of a query engine using Apache Drill, enabling non-traditional data sources like APIs, Google Sheets, and CSVs to be treated as SQL sources. He also developed a custom query builder for generating insights from client data, streamlining the process of adding new insights and filters. Additionally, he created a module for seamless OAuth API data interaction, enhancing data workflows for clients.
Performance Improvements Achieved
Shivam achieved a significant 98% improvement in request latencies by transitioning the system from Flask to FastAPI. This transition enhanced system responsiveness, demonstrating his ability to implement effective solutions that improve overall system performance.