I'm a Backend & Distributed Systems Engineer transitioning from enterprise test automation at Cognizant. I design and build cloud-native systems — microservices on Kubernetes, event-driven architectures on Kafka, infrastructure on AWS via Terraform.
My background combines software research (ISRO, DRDO) with production-grade engineering (CI/CD, observability, chaos testing). I build systems that are scalable, observable, and resilient by design.
Currently building → NexusPlatform (distributed commerce backend, 1M+ orders/day)
Open to → Backend Engineer · Platform Engineer · SRE
Location → Pune, India
NexusPlatform — Distributed Commerce BackendProduction-grade event-driven microservices platform designed for 1M+ orders/day. Distributed Patterns Implemented:
Infrastructure:
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| Repository | Description | Stack |
|---|---|---|
| nexus-platform | Distributed commerce backend — CQRS, Event Sourcing, Saga, Redlock, Kafka, Canary deploys | Go Kafka K8s Terraform AWS Istio |
| playwright-ultimate-enterprise | Enterprise automation — 8 test types, BDD/Cucumber, Visual, A11y, Security, 4-shard CI | TypeScript Playwright Cucumber Docker |
| selenium-enterprise-framework | Java automation — Selenium Grid, TestNG, Allure, Cucumber BDD, multi-browser CI | Java Selenium 4 TestNG Allure |
| Academic-Alleway-Integrated-with-AI | AWS serverless ERP — Lambda, DynamoDB, EventBridge, SQS, AI chatbot, React | AWS React DynamoDB Lambda |
| FlockX | Twitter clone — Spring Boot microservices, Spring Cloud, PostgreSQL, AWS S3, JWT | Spring Boot Spring Cloud PostgreSQL |
| Drone Navigation System | AI autonomous drone — TensorFlow, Dijkstra path planning, AirSim & Gazebo simulation | Python TensorFlow PyTorch |
| Company | Role | Period | Key Work |
|---|---|---|---|
| Cognizant | SDET | May 2025 – Present | Enterprise automation frameworks · BDD · Dockerized CI/CD pipelines |
| ISRO | Software Intern | Jan – Jun 2024 | Validated NASA global aerosol datasets · Remote sensing data pipelines |
| DRDO | Software Intern | Mar – Aug 2022 | YOLOv3 military object detection model · 91.55% mAP |
| Title | Venue | Status |
|---|---|---|
| Efficient Pharmacy Tracker Application | ECS | ✅ Published |
| NLP Techniques in Customer Service | IEEE | 📖 Upcoming Book |