Headline

Backend @ KukuFM

About

Backend Engineer with 4 years of experience specialising in Java and Python, Spring Boot, and event-driven microservices. Proven track record building scalable, cloud-native payment systems and real-time data pipelines for fintech environments using Kafka, Redis, and AWS — including multi-gateway payment orchestration systems that handle high transaction volumes with fault-tolerant, high-performance design. Experienced with CI/CD pipelines, observability tooling (Grafana, Sentry, CubeAPM), and AI-assisted development workflows. Strong focus on clean architecture, SOLID principles, and secure, testable backend systems built for financial-grade reliability.

Location

Bengaluru

AI stack

antigravity

claude

gemini

github copilot

openai

ChatGPT

Work experience

Software Engineer at Kuku FM, Jul 2025 - Present · 1 yr 2 mos, Bengaluru

Software Developer at zenda, Aug 2022 - Aug 2024 · 2 yrs 1 mo, Bengaluru, Karnataka, India, • Developed and deployed RESTful APIs using Java, Spring Boot, and Hibernate, improving payment collection rates by 95%. • Integrated microservices for payment gateways (Moneyhash, Razorpay, Camspay), handling 1,000+ daily transactions, reducing payment processing time by 40%. • Optimized SQL queries and database indexing, reducing query execution time by 15%, leading to faster application response times. • Implemented Kafka for real-time data streaming, improving inter-service communication efficiency by 30%. • Designed and maintained scalable architecture, reducing system downtime by 20% and enhancing code maintainability.

Software Developer at Quinnox, Aug 2021 - Aug 2022 · 1 yr 1 mo, Bengaluru, Karnataka, India, • Developed high-transaction APIs for user authentication and payment processing, reducing system response time by 20%. • Provided critical system support, reducing incident resolution time by 35%, minimizing operational disruptions. • Successfully identified and resolved software bugs, improving system stability and reducing recurring issues by 25%. • Utilized JDBC for optimized database connectivity, reducing data retrieval time by 12%.

Education

Master of Science - MS, Software Design with Cybersecurity, Technological University of the Shannon, Athlone Campus

Bachelor of Engineering - BE, Computer Engineering, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune

Public links

github: https://github.com/trilok01