Naman Gupta
Leading engineering teams to build scalable FinTech solutions with Java, Spring & Cloud. Championing AI adoption and clean code.
💡 About Me
I'm a Software Engineering Manager with 11+ years of experience — including 8+ years in FinTech — building systems that handle authentication, payments, and financial transactions at global scale. Currently at Mastercard, I lead engineering on Core Payment Authentication, working deep inside the 3DS protocol stack that millions of cardholders rely on every day.
My career spans the full arc of backend engineering: PCI-compliant payment integrations at Skillnet, Kafka-driven data pipelines at Shiksha Infotech, digital wallet microservices at Altimetrik (for Mastercard as a client), healthcare IoT APIs at Netpulse, large-scale modernization at Barclays, and FX trading system architecture at Morgan Stanley — before taking on my current role driving platform reliability and engineering excellence at Mastercard.
Today, my focus sits at the intersection of engineering leadership and applied AI. I lead teams through architectural decisions and own end-to-end feature delivery, while actively championing AI adoption — running production POCs on AI agents, RAG pipelines, LoRA fine-tuning, and agent-to-agent interactions. I believe the next generation of payment infrastructure will be built by engineers who move fluently between distributed systems and AI-native design.
"I build payment systems that work silently at scale — and teams that do the same."
Beyond the code, I invest in the craft itself: mentoring engineers through design reviews, raising team technical standards, and translating product complexity into scalable designs. I've mentored 50+ engineers across structured design reviews, 1:1 coaching, and cross-team architecture forums — helping them grow from individual contributors to owners of complex systems.
⚡ Skills
Over 11+ years of experience across frontend and backend development.
Backend
AI & Machine Learning
Data
Cloud & DevOps
Leadership & Management
Frontend
📋 Experience
Manager, Software Engineering
Nov 2024 - PresentMastercard, Pune, India
- Contribute to large-scale payment authentication program (3DS flow)
- Translate product requirements into scalable designs (HLD/LLD)
- Own end-to-end feature delivery for assigned modules
- Champion AI adoption — POCs on AI agents, RAG pipelines, LoRA fine-tuning
Technical Lead
Feb 2022 - Nov 2024Morgan Stanley, Bangalore, India
- Scaled API platform from 100 to 1000+ req/sec (Java 8, Spring Boot 3, MongoDB)
- Built API exposure layer with FIX protocol for trading
- Designed reconciliation system for trade data streams
- Delivered modernized FX Incubation trading systems solutions
Senior Software Engineer
Oct 2018 - Feb 2022Barclays, Pune, India
- Modernized a 10-year-old Prime Services platform — achieving 30% performance improvement and 20% cost reduction through architectural re-design and cloud migration
- Established CI/CD pipelines and code review processes
- Led Database-Based Reporting solution
Senior Engineer
Apr 2018 - Sep 2018Netpulse Services, Pune, India
- Backend APIs for IoT medical devices (LifePath-C)
- Designed remote patient monitoring platform APIs
- Scaled application from few to thousands of customers
Senior Software Engineer
Sep 2017 - Mar 2018Altimetrik, Pune, India
- Worked with Mastercard on nationwide digital wallet project
- Built backend services with secure mobile APIs
- Multi-tenancy microservice architecture
Senior Software Engineer
Sep 2016 - Aug 2017Shiksha Infotech, Pune, India
- Network performance management for British Telecom
- Data pipelines with Kafka and time-series databases
- SNMP walks and API integrations
System Analyst
Dec 2014 - Aug 2016Skillnet Solutions, Indore, India
- Built pluggable payment integration — 40% faster delivery
- PCI-compliant payment integrations for X-Store
- Customized retail domain solutions
🎓 Education
M.Tech (Software Systems)
🏛️ Birla Institute of Technology and Science
2014 - 2016
🎓 Grade: 8.25
B.Tech
🏛️ Sri Aurobindo Institute of Technology
2009 - 2013
🎓 Grade: 73.4%
🔬 Currently Exploring
- → RAG pipelines for FinTech compliance use cases
- → SLM fine-tuning for specific use cases
- → LLM agent orchestration
- → System Design at Principal Engineer scale
📬 Get in Touch
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.