Building Scalable Payment Systems with Event-Driven Architecture
Lessons learned from designing and implementing high-throughput payment systems that process millions of transactions.
Hi, my name is
Building scalable systems at the intersection of Fintech, Payments & Cybersecurity
From mechanical engineering to scaling distributed systems - my unconventional path in tech.

From mechanical engineering to scaling payment systems processing millions of transactions - my journey has been anything but conventional. I thrive at the intersection of complex technical challenges and business impact.
Over 7+ years, I've evolved from a curious engineer to a founding team member at a startup, and now to building enterprise-grade security platforms. At TartanHq, I was there from day zero - turning ideas into a revenue-generating platform in just 3 months. At Mastercard, I architected solutions reaching 10M+ users across Africa.
Today at Securonix, I'm scaling SIEM infrastructure from 1M to 2M+ transactions per second. What drives me? The challenge of building systems that are not just technically elegant but create real business value.
B.Tech from Shivaji University - Where the journey began
CDAC ACTS Pune - Pivoting into software development
Volante Technologies - IBS Intelligence Award for VolPay
TartanHq - Founding engineer, built Perks from day 0
Mastercard - Architecting solutions for 10M+ users
Securonix - Scaling SIEM platform to 2M+ TPS
7+ years of building scalable systems across fintech, payments, and cybersecurity.
Cybersecurity | SIEM | UEBA Platform
Fintech | Digital Payments
AI-Powered Enterprise APIs | B2B SaaS Startup
Enterprise Banking | Payment Infrastructure
A selection of projects that showcase my expertise in building scalable, production-ready systems.
Engineered a distributed Multi-Service Payment Wallet system using Java Spring Boot, Spring Security, Kafka, and Redis. Improved transaction processing efficiency by 20% (P95 latency: 200ms to 160ms) and reduced SMS notification latency by 30%.
Built a RAG-based document interaction tool using LangChain, Claude AI/OpenAI, and vector databases. Implemented semantic search with context-aware retrieval for natural language PDF querying with multi-document support.
Created Perks from the ground up at TartanHq, successfully bringing in real customers within just 3 months. Implemented HRMS Connect to onboard 30,000 concurrent users.
Built a comprehensive class management platform handling attendance tracking, notes distribution, and video content delivery. Initially hosted on Raspberry Pi with GitHub Actions CI/CD, later migrated to on-premise server with Google Cloud reverse proxy. Maximized open-source tools to minimize costs while maintaining production-grade reliability.
Technologies and tools I use to build scalable, reliable systems.
Constantly learning and exploring new technologies. Currently diving into: AI/ML, LLMs, RAG Systems, and Distributed Computing at Scale
Recommendations from colleagues and leaders I've had the privilege to work with.
“Pratik is an exceptional backend engineer with deep expertise in Java, Spring, and building scalable, reliable systems. What stands out most about Pratik is not just his technical strength, but his positive attitude and willingness to go the extra mile for the team. He is someone you can always count on - whether it's solving a complex problem, supporting teammates, or ensuring delivery quality.”
Sharing insights on system design, distributed systems, and lessons learned building at scale.
Lessons learned from designing and implementing high-throughput payment systems that process millions of transactions.
A step-by-step approach to migrating legacy systems to microservices without disrupting business operations.
How I built TalkToPDF - a RAG-based tool for natural language document querying using LangChain and vector databases.
Have a project in mind or want to discuss opportunities? I'm always open to interesting conversations and collaborations.