- πΌ Software Engineer (3.5+ years) building scalable backend systems, APIs, and microservices for high-traffic platforms.
- π’ Experience across Publicis Sapient, working on distributed systems, event-driven architectures, and AI-integrated workflows.
- βοΈ Strong foundation in Java (Spring Boot, WebFlux), Python (FastAPI), PostgreSQL, AWS, and Kafka.
- π§© Enthusiastic about retrieval-augmented generation (RAG), LangChain, and vector databases for building AI-driven backend.
- π Known for improving system performance, reducing latency, and accelerating delivery through automation and architecture design.
π Gurgaon, India | June 2022 β Present
- Led design for a transaction history module for a revenue-management system processing 1M+ transactions daily, ensuring end-to-end data consistency for financial audits.
- Reduced p95 API latency by 15% and increased throughput by 22% by moving from synchronous to reactive (non-blocking) design using Spring WebFlux.
- Achieved a 25% increase in system stability by tuning JVM GC parameters and fixing memory bottlenecks.
- Built PCI-DSS compliant controls for payment security using Harness feature flags, ensuring zero production impact.
- Integrated GenAI tools (GitHub Copilot + JIRA + Confluence) to automate analysis and documentation, cutting feature delivery time by 40%.
- Implemented GraphQL APIs in Java, reducing data payloads by 50% and simplifying frontend integrations.
- Created a centralized error-handling framework across microservices, cutting boilerplate by 70% and improving resilience.
Backend & Distributed Systems:
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Python, FastAPI, MCP, Pinecone, AWS |
Python, FastAPI, LangChain, Pinecone, OpenAI API |
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React, Node.js, Express, PostgreSQL |
Java, Spring Boot, React, AWS CloudFront |
β¨ Building systems that scale, learn, and last. β¨

