Headline

SDE-1 @ POP UPI (Razorpay) | Distributed Systems | Scalable Infra | Microservices | AI/ML Systems | Caching & Messaging | AWS |

About

👋 Hi, I’m Harshavardhan Mamidipaka — a Software Engineer building scalable backend and AI-driven systems for fintech. 🚀 At POP UPI (A Razorpay Company), I design high-throughput microservices and optimize APIs powering real-time UPI and card transactions. I’ve built event-driven systems, caching layers, and secure payment infrastructure handling mission-critical financial flows at scale. ⚡ Previously at DRW, I worked on ultra-low-latency systems, improving execution latency from 2.3 ms → 1.9 ms (~17%) through network optimizations and co-located infrastructure. I also built data pipelines and integrated ML for real-time anomaly detection. 🧠 At DRDO–CAIR, I deployed TFX pipelines processing 1M+ daily transactions and automated CI/CD workflows for scalable ML systems. 💡 I specialize in Distributed Systems, Backend Engineering, and Production ML — solving challenges around latency, scalability, and reliability. 🏆 Led the Entrepreneurship Cell at IIIT Sri City, organizing hackathons and events for 3000+ attendees. 📩 Open to collaborating on high-impact systems and backend/AI engineering opportunities.

Location

Greater Bengaluru Area

AI stack

antigravity

claude

cursor

grok

hugging face

claudecode

Work experience

Software Engineer I at POP, Apr 2025 - Present · 1 yr 5 mos, Bengaluru, Karnataka, India, Building scalable credit card and lending platforms powering onboarding, rewards, and payments at POP

Quantitative Research Intern at DRW, Jan 2025 - Apr 2025 · 4 mos, Remote, - Refined order execution latency by 18% (2.3ms → 1.9ms) via network configurations and co-located infrastructure, boosting real-time trade execution speed in HFT environments. - Architected automated data ingestion and monitoring pipelines for live trading simulations, enhancing system reliability and reducing manual intervention by 30%. - Integrated low-latency ML services for anomaly detection and risk monitoring, deployed into production-grade HFT pipelines.

AI/ML Intern at Centre for Artificial Intelligence & Robotics, DRDO, May 2024 - Jul 2024 · 3 mos, Bengaluru, Karnataka, India, - Developed and deployed ML models using TensorFlow Extended (TFX), handling 5M+ transactions daily. - Reduced deployment time by 40% by automating CI/CD pipelines. - Implemented Ngrok for secure remote testing, improving team productivity by 50%.

President at E-Cell IIITS, Mar 2024 - Dec 2024 · 10 mos, - As the President of E-Cell IIIT Sri City, I lead a team of 21 managers across 7 portfolios, driving initiatives to foster entrepreneurship on campus. I oversee strategic partnerships, manage large-scale events like E-Summit, and work closely with industry leaders to provide students with hands-on entrepreneurial experiences. Through collaborative leadership, I help build a thriving ecosystem of innovation and growth at IIIT Sri City.

Full-stack Developer at Catoff, Jan 2024 - Apr 2024 · 4 mos, Bengaluru, Karnataka, India, - Architected a rationalized template generation system via an SPA(Single Page Application), saving 20 hours per month and improving team efficiency. - Introduced monitoring and alerting best practices, reducing downtime incidents by 40% and improving system resilience under peak loads. - Operationalized AWS-based deployment pipelines using EC2, S3, CloudFront, enabling zero-downtime releases.

Core Committee Member at E-Cell IIITS, Mar 2023 - Mar 2024 · 1 yr 1 mo

Core Member at E-Cell IIITS, Sep 2022 - Mar 2023 · 7 mos

Education

Bachelor of Technology - BTech, Electronics and Communications Engineering, Indian Institute of Information Technology, SriCity

Public links

github: https://github.com/HarshaRockzz

medium: https://medium.com/@mamidipaka2003

leetcode: https://leetcode.com/harshaM2411

harshavardhan-mamidipaka.vercel.app: https://harshavardhan-mamidipaka.vercel.app/