Ashutosh Pratap Singh Email & Phone Number

Bengaluru, Karnataka, India

• Involved in managing the UPI stack for Google Pay’s "@okicici" and "@okaxis" handles, handling approx. 100 to 120 million transactions per day.
• Contributed to the development of database denormalization for the UPI architecture, which reduced queries by 95% and CPU load by 60%, leading to a 16% improvement in API response times during peak traffic.
• Developed UPI Lite and UPI Lite Offline features, including registration, deregistration and payment flows. Led the UPI Lite Offline (LITE X) project from design to merchant support, and optimized backend processes for.
• Contributed to the design of scalable systems to manage high traffic by applying database sharding, Redis clustering, and advanced PostgreSQL techniques, optimizing both performance and reliability.
• Also involved in multiple optimization efforts to enhance system performance by addressing and clearing technical debt.

Bengaluru, Karnataka, India

• Leveraged in-depth concepts of functional programming in Haskell and Jenkins for advanced build optimization, resulting in a substantial reduction in compilation times and enhanced development efficiency.
• Refined the UPI Backend’s performance, achieving a 30% to 50% increase in transaction processing speed across various flows, thereby accelerating merchant transaction processing.
• Contributed to an open-source project by developing a customized time library in Haskell, resulting in a performance improvement of approximately 97% compared to the standard library.
• Debugged critical production issues by analysing detailed production logs, identifying root causes, and implementing targeted fixes to ensure system stability and reliability.

Bengaluru, Karnataka, India

• Developed health check mechanisms for the UPI architecture, incorporating shell scripting, multi-threading, Redis checks, and PostgreSQL monitoring to enhance system reliability and performance.
• Gained in-depth knowledge of the UPI ecosystem, including payment flows and the various entities involved.
• Actively involved in resolving production-related issues, contributing to system stability and efficiency.

Dharwad, Karnataka, India

Developed web application to automate the process of manual scheduling of operators to machine. This application helps to create schedule for workers to operate various machines based on the skill level of workers and load capacity of the machines.Tools and Technologies: Django, Bootstrap, Heroku, Twilio API

Bachelor Of Engineering - Be, Computer Science, 9.24 Cgpa

(Cbse-Xii), 89.40 %

(Cbse-X), 10 Cgpa