Jul 2022 – Aug 2025 · 3 yrs 1 mo · Pune, Maharashtra, India · On-site

• Developed high-performance APIs for real-time stock market pricing information within a microservice architecture, delivering results in 8 milliseconds.
• Streamlined critical cron jobs, automating essential application tasks and increasing team productivity by reducing manual efforts; saved 10+ hours per week.
• Developed and maintained the Intraday Updates system to provide real-time updates on fundamental stock details, ensuring accurate market data during trading hours.
• Contributed to an internal tool for real-time production configuration changes, ensuring high availability and seamless failure recovery for critical market data APIs supporting trading and order placement.
• Wrote comprehensive unit and integration test cases covering 95% codebase, ensuring the reliability and accuracy of software solutions; minimized bug count and improved overall system stability.

Jan 2022 – Jun 2022 · 5 mos · Delhi, India

• Executed machine learning tasks for Landmark Detection to detect the famous landmarks and
• Game Genre Recognition to find the genres of a game based on gameplay with 87% accuracy.
• Engineered scripts to prepare and annotate dataset from the recorded videos for models to train.
• Integrated trained machine learning models into Samsung TV, enabling real-time predictions based on TV frames.