Nov 2023 – Jan 2026 · 2 yrs 2 mos · On-site

• Co-architected core payments infrastructure unifying multiple financial flows.
• Led design discussions and drove adoption of scalable backend patterns.
• Built distributed systems handling millions of transactions with fault tolerance.
• Migrated legacy services to modern infra (container orchestration, cloud-native).
• Defined engineering standards, improving code quality & system reliability.
• Partnered with leadership to plan technical roadmaps and execution.
• Guided teams on performance optimizations, data migrations & infra scaling.
• Specialized in system design, API contracts, and high-volume transaction systems.
• Actively involved in hiring, technical reviews, and team mentorship.

Nov 2021 – Nov 2023 · 2 yrs · On-site

• Designed and developed scalable backend systems for fintech applications.
• Implemented payment flows and APIs ensuring high throughput & reliability.
• Improved system performance through concurrency optimization & load handling.
• Set up monitoring and alerting pipelines for better system observability.
• Collaborated with product & infra teams for feature rollout and system upgrades.
• Mentored junior developers on best practices and clean code principles.
• Strengthened expertise in Go, microservices, Kafka, and cloud infrastructure.

Jul 2019 – Nov 2021 · 2 yrs 4 mos · Bengaluru, Karnataka, India · On-site

• Built and maintained backend services supporting large-scale e-commerce traffic.
• Worked on high-availability systems ensuring smooth customer experience.
• Optimized database queries and APIs for faster response times.
• Collaborated with cross-functional teams to deliver production-ready features.
• Gained strong foundations in Java, Spring Boot, and distributed systems.
• Improved debugging and troubleshooting workflows in production environments.

May 2018 – Aug 2018 · 3 mos · India

• TASKS:-
• Built an automated multi class classification model of crops using extracted features from ndvi-time series data
• Constructed an iterative algorithm based on Savitzky-Golay filter to remove noise in satellite data due to clouds
• Extracted features from ndvi-time series data and used DBSCAN algorithm to find different ndvi patterns in a crop
• Formed a One-class classification model on singly labeled data to identify crop of a specific class amongst all crops

Jun 2017 – Aug 2017 · 2 mos · Perth, Australia

• PROJECT:-
• Developed a computational tool to calculate likelihood ratio statistic(LRS) value by parallel programming on GPU
• Studied in detail the parallel programming using CUDA language to make the computation efficient and fast
• Tested different algorithms on provided data, defined optimality criteria and selected the best algorithm
• INITIATIVES:-
• Used Dynamic parallelism to make threads perform different independent kernel operations in parallel
• Introduced a GPU detector in tool which detects no. of GPU cards in system and distributes work accordingly
• IMPACT:-
• Successfully reduced the computational time from 6 minutes to 20 seconds with 98.6 % accuracy of the result
• GPU detector program in tool reduced the time further to 6 seconds by usage of 3 GPU cards on the main server

May 2016 – May 2017 · 1 yr · IIT Kanpur

• Led a 4-tier team of 600+ students for the conduction of the festival with the overall budget of over ₹ 30 million
• Spearheaded a 2-tier team of 80 marketing executives handling companies follow-ups and their branding
• Responsible for procuring a substantial budget for the smooth conduction of the festival and its promotion
• Ensured the depiction of all the promised branding possibilities mentioned in the contract throughout the year

Aug 2015 – Apr 2016 · 8 mos · Kanpur Area, India

Aug 2015 – Dec 2015 · 4 mos · Kanpur Area, India

Aug 2015 – Sep 2015 · 1 mo · Kanpur Area, India