- ✔Built a secure Go (Gin) backend to orchestrate signed artifact distribution with multi-stage approvals.
- ✔Integrated ZFS snapshots & bectl automation for boot-level rollback guarantees across FreeBSD nodes.
- ✔Provisioned scalable AWS infra (EC2, ALB, API Gateway) with SSL termination for public APIs.
- ✔Established S3 + CloudFront artifact repository; versioned distribution reduced download latency by ~40%.
- ✔Implemented PostgreSQL-backed metadata with REST APIs for real-time version tracking.
- ✔Shipped a React admin portal enabling update audit trails & controlled rollouts.
- ✔Built a Control Center with RBAC, live monitoring dashboards, and resource allocation UIs.
- ✔Added artifact hash validation/signatures; structured logging & health endpoints for observability.
- ✔Integrated Postman collections into GitLab CI; reduced QA cycle time.
Building reliable, scalable systems with Java, React & AWS
Versatile Software Engineer with 3+ years of hands-on experience building enterprise-grade applications using Java, Spring Boot microservices, React.js, Go and AWS. Proven at architecting distributed systems, implementing REST & GraphQL APIs, optimizing databases, and delivering production-ready apps with Docker, Kubernetes, and CI/CD. Track record: −70% latency, +150% throughput for fintech workloads.
Enterprise-grade Engineering
Microservices · Event-driven · Observability · Zero-downtime
Engineer focused on scale, reliability, and polish
I specialize in building dependable platforms end-to-end—robust backends in Java/Go, modern UIs in React, and cloud infrastructure on AWS. I enjoy simplifying complex systems, adding the right abstractions, and leaving things faster, cleaner, and easier to operate.
Recent work spans distributed updates on FreeBSD nodes, CI/CD integrations, and real-time control centers with rich telemetry. I care about craftsmanship: readable code, useful metrics, crisp UX, and zero-surprise deployments.
Impact at scale across fintech and infrastructure
- ✔Refactored monolith → Spring Boot microservices; latency −70%.
- ✔Kafka pipelines + Redis caching → 150% throughput uplift for toll processing.
- ✔React admin & bank portals with role-based auth; dispute workflows & reporting.
- ✔Prometheus/Grafana dashboards; ELK for centralized logs → faster incident response.
- ✔Automated reconciliation batches; compliance-ready daily reports.
- ✔Reliability via leak detection, tuned pools, and bulkhead isolation patterns.
- ✔Automated onboarding with Spring MVC; secure provisioning APIs integrated with Salesforce/HRMS.
- ✔Optimized Hibernate & pool tuning → 20% faster APIs.
- ✔Scrum rituals, Jira based planning; improved delivery cadence.
A pragmatic stack with strong fundamentals
Backend
Frontend
Cloud & DevOps
Data & Messaging
Observability & QA
Case studies & highlights
A smooth portal for multi-datacenter oversight: role-based access, live server metrics, and resource allocation—built to scale ops teams without friction.
Go microservice orchestrating signed artifact distribution with ZFS-backed rollback. Versioned repo on S3 + CloudFront cut download latencies by ~40%.
Dispute submission & tracking portal for banks with secure document downloads, role-aware flows, and real-time status visibility.
Kafka-driven Spring microservices with Redis acceleration for high-throughput, low-latency NETC/FASTag processing.
Foundations and continuous learning
Education
- George Mason UniversityM.S. in Computer Science (GPA 3.93/4.0)Jan ’23 – Dec ’24
- Amrita School of EngineeringB.Tech in Information Technology (8.0/10)Jul ’16 – May ’20
Certifications
- AWS Certified Developer – Associate
- Confluent: Developer Skills for Apache Kafka