Headline

Software Engineer @ Gen Digital (NortonLifeLock) | Backend & Distributed Systems | Scalable Microservices | Top 10% LeetCode

About

- I am a Software Engineer specializing in distributed systems, cloud-native infrastructure, and practical AI integration. Currently at Gen (NortonLifeLock), I design and build highly scalable microservices that power global identity protection for 18M+ users across 17+ countries. - My work sits at the intersection of high-throughput backend engineering and modern AI. I own features from system design through to production, whether that involves migrating legacy platforms to event-driven Kafka architectures, building sub-2ms Rust sidecar proxies for zero-trust security, or deploying AI-driven automated agents. Recently, I architected an internal developer assistant powered by RAG and LiteLLM that reduced manual triage time by 40%. - I enjoy solving problems in distributed systems, reliability, and performance, with a strong focus on clean design and operational excellence. - I am deeply passionate about understanding systems from the ground up. Outside of production environments, I build complex software from first principles—including a custom DAG-based version control system and a bytecode virtual machine. To keep my algorithmic problem-solving sharp, I actively practice competitive programming and rank in the top 10% globally on LeetCode. I’m motivated by challenging backend and infrastructure problems with real-world scale and impact.

Location

India

AI stack

codex

opencode

claudecode

Work experience

Software Engineer at Gen, May 2026 - Present · 4 mos, Chennai, Tamil Nadu, India, - Distributed Systems Architecture: Designing and scaling high-throughput backend infrastructure, including developing a Rust-based sidecar proxy capable of handling 10,000+ RPS with less than 2ms overhead while enforcing zero-trust security (mTLS, JWT) across 30+ microservices. - AI Integration & Workflow Optimization: Deployed AI-driven agents for credit monitoring workflows and built an internal developer assistant powered by RAG and LiteLLM, reducing manual triage time by 40%. - Data Pipeline Engineering: Architecting scalable, real-time data pipelines for Credit, Dark Web, and Social Media Monitoring by seamlessly integrating major intelligence networks. - Microservices & Orchestration: Constructing cloud-native Spring Boot microservices to coordinate complex integrations with major financial bureaus (Equifax, Experian, TransUnion) utilizing standardized API validation engines.

Associate Software Engineer at Gen, Jun 2024 - Apr 2026 · 1 yr 11 mos, Chennai, Tamil Nadu, India, - Global Systems Engineering: Orchestrated the full software development lifecycle, including automated testing and CI/CD deployment, for a global identity protection ecosystem serving 18M+ users across 17+ countries under strict compliance standards. - Architecture Modernization: Engineered the successful migration from a legacy BPM system to an event-driven Kafka architecture. Optimized core storage using Redis caching, which slashed P95 API latency by 25% and reduced infrastructure costs by $8,000/month. - SDK & Framework Development: Authored a unified SDK and partner abstraction layer using Java and Kotlin. This initiative eliminated 80% of redundant codebase logic and accelerated the onboarding of new financial providers by 70%. - Backend Microservices: Built and maintained robust Java/Spring Boot microservices to support identity and financial monitoring workflows, ensuring high availability and secure data processing.

Software Developer at Quinbay, Dec 2023 - May 2024 · 6 mos, Coimbatore, Tamil Nadu, India, - Worked as a backend engineer in the Search and R&D team, building and operating production systems using Java, Spring Boot, Solr, Redis, Docker, and Kibana. - Built an automated Spring Boot 2.x → 3.x migration tool, eliminating ~85% of runtime issues and drastically reducing manual debugging. - Designed POM.xml cleanup workflows and a JOLT-based JSON transformation framework, cutting migration effort from 7→3 days and reducing memory usage by ~75%. - Implemented validation and error-mapping frameworks, improving memory efficiency and boosting performance by ~50%, shortening release cycles from 2 weeks to 2 days. - Developed an AI-powered internal knowledge assistant (Ollama & Mistral), improving Confluence query accuracy by ~92% and halving issue resolution time. - Collaborated with senior engineers to troubleshoot production issues and optimize system performance, reliability, and developer productivity.

Back End Developer at Tekion Corp, Oct 2022 - Jun 2023 · 9 mos, Chennai, Tamil Nadu, India, - I leveraged the Flask framework to advance my proficiency in Database Management , REST API. - Successfully developed over three engaging interactive web applications.

Frontend Developer at Epicsense Technologies, Jul 2022 - Aug 2022 · 2 mos, Coimbatore, Tamil Nadu, India, Design and deployment of multiple web pages , with peer-reviewed code and documentation .

Education

Bachelor of Engineering - BE, Computer Science, Coimbatore Institute of Technology

12, Computer Science, Vidyaa Vikas International School (CBSE)