I'm a backend-first Java engineer and Technical Lead at Comviva Technologies (A Tech Mahindra Company) with 3.5+ years of hands-on experience designing, building, and operating high-performance distributed systems for real-time telecom platforms.

I specialise in event-driven microservices architecture — Apache Kafka for high-throughput async messaging, gRPC for low-latency inter-service communication, and Spring Boot as the backbone of every service. I've designed and shipped production systems that process millions of subscriber transactions per day at 99.9% uptime.

• 🔭 Currently working as Technical Lead at Comviva Technologies
• 🏅 Triple award winner — 3 OVATIONS Awards from Comviva leadership in FY 2025–26
• 🚀 Delivered 35% system performance improvement & 40% reduction in production incidents
• 🏗️ Built a config-driven API gateway that reduced deployment effort by 90%
• 📚 Believer in LLD-first development, clean code, and structured root cause analysis
• 🤝 Passionate about mentoring engineers and raising team engineering quality
• 📫 Reach me at [email protected] or +91 9161153581
• ⚡ Fun fact: I've delivered 20+ client Change Requests with 100% First-Time-Right — zero rework

"Recognised three times by Comviva Technologies leadership within FY 2025–26 under the OVATIONS Rewards & Recognition Program — signed by CHRO Bhagwati Shetty."

Technical Lead (Dec 2025 – Present)

• Architecting real-time backend systems handling millions of transactions per day across multiple telecom operators at 99.9% uptime
• Driving microservices migration using Java, Spring Boot, Kafka, and gRPC — +35% scalability
• Leading end-to-end delivery: LLD → development → SIT/UAT → production → monitoring
• Conducting 100% code and design reviews — enforcing SOLID principles and clean architecture
• Contributing to technical roadmap and capacity planning for the next 2 quarters
• Mentoring junior and mid-level engineers; conducting knowledge transfer sessions

Senior Software Engineer (Dec 2023 – Dec 2025)

• Owned 100% of SDLC for MRTM v12.2 + J4U — from requirements to production support
• Delivered 20+ client CRs at 100% First-Time-Right & On-Time Delivery
• Achieved 40% reduction in production incidents via Grafana dashboards and structured RCA
• Improved system performance by 35% through load testing, JVM profiling, and Kafka tuning

Software Engineer (Sep 2022 – Dec 2023)

• Built backend services for MRTM v5.6 and v7.11.1 using Java, Spring Boot, Kafka, REST APIs
• Delivered 15+ customer-facing CRs — improving stability and response time by 25%
• Established zero-defect production release practices with pre-deployment checklists and QA coverage

Real-time offer decisioning platform for telecom operators

A mission-critical platform processing subscriber behaviour and transaction patterns to trigger hyper-personalised marketing offers in real time. Handles millions of events daily at sub-second latency.

Impact:

• ⬆️ 35% system performance improvement via load testing, query optimisation & Kafka consumer tuning
• ⬇️ 40% reduction in production incidents via proactive Grafana monitoring & structured RCA
• ✅ 99.9% uptime maintained across all live operator deployments
• ✅ 20+ Change Requests delivered at 100% First-Time-Right

Stack: Java Spring Boot Apache Kafka gRPC PostgreSQL Oracle Hazelcast VoltDB JPA/Hibernate

USSD-based real-time offer interface

A USSD customer interface enabling telecom subscribers to browse and select personalised offers generated by MRTM in real time — built for ultra-low-latency, multilingual rendering, and high-concurrency session management.

Impact:

• ⬆️ 25% improvement in API response time
• ✅ Real-time offer retrieval via gRPC + Kafka — sub-200ms end-to-end
• ✅ Distributed session management via Hazelcast for concurrent USSD flows

Architecture:

Spring Boot → gRPC (MRTM offers) → Kafka (async logging) → Hazelcast (session) → USSD Gateway (<200ms)

Stack: gRPC Kafka Spring Boot Hazelcast USSD JPA/Hibernate

Centralised upstream/downstream integration hub

A centralised API gateway handling all upstream and downstream system communication — supporting both synchronous HTTP and asynchronous Kafka flows with XSLT-based message transformation. Configuration-driven: new integrations require zero code deployments.

Impact:

• ⬇️ 90% reduction in deployment effort — new integrations via config only
• ✅ Dual-protocol: HTTP (sync) + Kafka (async) in a single gateway
• ✅ XSLT transformation engine for format-agnostic message processing (XML ↔ JSON)

Modules:

GUI · Config Service · Gateway Service · User Service · Event Processor · Interactive · Fulfilment

Stack: Spring Boot Apache Kafka Consul PostgreSQL XSLT REST APIs Microservices

Core Java · OOP · CLI Application

A terminal-based ATM simulation built to solidify Java OOP foundations before entering the industry — account creation, deposit, withdrawal, balance enquiry, and transaction history using clean object-oriented design patterns.

Stack: Core Java OOP Data Structures CLI

B.Tech — Information Technology Dr. A.P.J. Abdul Kalam Technical University (AKTU) · 2022 CGPA: 8.26 / 10