Sep 2025 – Feb 2026 · 5 mos · Bengaluru, Karnataka, India · On-site

• Owned backend service for a high-traffic payment platform, supporting 5–6M sessions and 2–3M
• transactions daily, with peak traffic of 18-19K RPM
• during high-load events, leading design reviews,
• deployments and ensuring code quality
• Built an AI-driven checkout analytics assistant, processing millions of daily events to identify
• conversion bottlenecks and cross-sell opportunities for product teams.
• Led the backend migration of UPI QR flows from a legacy PHP monolith to Golang-based microservices,
• improving scalability, fault isolation, and operational reliability.
• Improved production reliability by handling daily alerts, participating in mock incident drills, and resolving live incidents, contributing to faster P0/P1 detection and resolution.

Jan 2025 – Aug 2025 · 7 mos · Bengaluru, Karnataka, India · On-site

• Built an automated refund system that uses message queues to trigger instant refunds for missed payments, cutting customer refund wait times by 48 hours.
• Developed APIs to register UPI transactions and check real-time payment status from PSP gateways, allowing smooth parallel processing with frontend UPI PIN flows.

Aug 2023 – Jan 2025 · 1 yr 5 mos · Bengaluru, Karnataka, India · On-site

• Improved data efficiency and query speed by implementing partitioning and rollup tables, reducing overall data size by 30% and achieving a 2x performance boost for analytics queries.
• Upgraded the Juspay UPI plugin to meet NPCI requirements by adding essential payload fields, generating secure transaction signatures, and enabling support for RuPay credit card UPI Txn and EMI transactions — increasing payment coverage and platform reliability.
• Boosted payment success rates by implementing automated OTP submission for banking flows using JavaScript events and web scraping delivering a smoother and more native-like user experience.

Aug 2022 – Jul 2023 · 11 mos · Bengaluru, Karnataka, India · On-site

• Designed and implemented payment flows for high-traffic applications like IRCTC, securely and efficiently handling 7–8 lakh (700K–800K) transactions daily, ensuring reliability under scale.
• Built a Payout micro-app for end-to-end refund processing using the React + PureScript framework with a Zustand store. Supported both refund links and SDK-based refunds, integrated authentication and user/account verification — enabling secure, flexible refunds and reducing refund handling time by 60%.
• Developed a real-time payment status screen to improve transaction tracking and transparency, helping reduce user confusion.

Jan 2022 – Jul 2022 · 6 mos · Hyderabad, Telangana, India

• MTX Group Inc. (MTX) is a global technology consulting firm that enables organizations to modernize through digital transformation. With data as the new currency, MTX helps transform long-term strategy with outcomes in mind around happiness, health, and the economy. MTX improves decision-making with speed and quality by partnering with leading cloud technologies.
• Learned about salesforce Administration, some frameworks like Aura, LWC, programming language Apex, and query language like SOQL.
• Learned and implemented integrations with Apex, Design REST Api's with APEX
• Designed and developed applications in which the frontend is made with LWC or Aura and the backend with Apex.

Sep 2020 – Oct 2020 · 1 mo

• Xane AI is an award-winning B2B SaaS AI platform aimed at revolutionizing user experience using Computer Vision and Natural Language Processing to help organizations create personalized user experiences and automate their business processes, eventually helping them reducing cost & increasing business efficiency.
• Worked with common Machine Learning Algorithms like Classification, Regression,
• and Ensemble models.
• Implemented different CNN architectures like a sequence of convolutions, pooling, Activation functions in TensorFlow to improve model performance.
• Worked with python libraries like Matplotlib, Seaborn, Numpy, Pandas.
• Also, work with Pretrained models like MobileNetV2, VGG16