Software Engineer with ~2 years of experience designing distributed systems, event-driven architectures, and cloud observability platforms.
Currently at Tata Consultancy Services (Client: IBM), building backend services that ingest, transform, and correlate infrastructure events across distributed cloud environments.
Outside of work, I build AI-powered backend applications, experiment with local LLM infrastructure, and explore scalable cloud-native systems.
| Highlights | |
|---|---|
| Infrastructure Events | 100K+ events/day |
| Focus Areas | Backend · Cloud · AI |
| Recognition | 2nd Place – TCS AI Hackathon |
- Distributed Systems & Event-Driven Architecture
- Cloud Observability (AWS CloudWatch, ELK)
- Backend Engineering (Python · Node.js)
- AI-powered Automation & Agentic Workflows
- Kubernetes · Docker · AWS
- Local LLM Infrastructure
FastAPI · PostgreSQL · Docker · AWS CloudWatch
A cross-cloud observability platform with real-time event streaming, JWT-based RBAC, and Server-Sent Events for low-latency updates. Containerized for production deployment.
Python · Flask · Scikit-learn
A REST API for real-time ML inference with sub-100ms latency. End-to-end pipeline covering preprocessing, model training, and inference.
Tata Consultancy Services (Client: IBM)
August 2024 – Present
- Built distributed event ingestion services processing 100K+ infrastructure events/day
- Developed event-driven microservices in Python and Node.js for log ingestion, transformation, and routing
- Engineered batch and real-time ETL pipelines; integrated Elasticsearch for indexing, search, and event correlation
- Optimized PostgreSQL through indexing, query tuning, and partitioning — reduced query latency to sub-second levels
- Implemented AI-assisted automation workflows for incident classification, log enrichment, and root-cause analysis
- Containerized and deployed services on Docker + Kubernetes with monitoring and observability best practices
Bachelor of Engineering — Information Science and Engineering
Shree Devi Institute of Technology · 2020 – 2024
Open to discussions on backend engineering, distributed systems, cloud infrastructure, AI, and open-source software.
