Headline

Senior Backend Engineer | Java · Python · Go | LLM & Agentic AI Systems | Ex-Amazon | Distributed Systems | Microservices | Cloud Infra @Nutanix

About

Software engineer with ~6 years building high-scale distributed systems across fintech (JPMorgan Chase), e-commerce (Amazon), healthtech (Blink Health), and cloud/AI infrastructure (Nutanix). I specialize in backend and platform engineering using Go, Java, and Python, designing microservices, event-driven architectures, and production-grade APIs that handle millions of requests per month. At Amazon, I launched an invoicing validation service processing 10M+ requests/month for 2M+ active vendors, with zero production incidents at go-live. At Nutanix, I architected the onboarding layer for the Cloud Manager platform, unifying 4 product offerings onto a single multi-provider integration and cutting roughly 30% of costs for enterprise customers. These days I'm deeply focused on GenAI and agentic systems. I designed an Agentic AI skill at Nutanix that automated bug root-cause analysis, reduced on-call team size by 66%, and improved engineering productivity 10x. My stack includes LLMs, RAG, Model Context Protocol (MCP), and prompt engineering, all deployed in production workflows. Earlier at JPMorgan, I built a Rasa-powered conversational AI assistant integrated with core banking APIs, deflecting 60%+ of customer support queries across 80M+ consumers. It's one of my earliest and most impactful AI systems. Technical toolkit: Go, Java, Python, Spring Boot, Flask, Next.js, React, RAG, LLMs, MCP, Prompt Engineering, Kubernetes, Docker, AWS, PostgreSQL, DynamoDB, Elasticsearch, Microservices, CI/CD Currently open to Senior Software Engineer, Staff Engineer, and AI/Backend Engineer roles. Immediately available. Bangalore, Hyderabad, Pune, Noida, Gurugram, Remote.

Location

Bengaluru

AI stack

antigravity

cursor

Work experience

Member of Technical Staff - 3 at Nutanix, Mar 2024 - Present · 2 yrs 6 mos, Bengaluru, - Architected the onboarding service for Nutanix Cloud Manager (NCM), unifying 4 Nutanix offerings onto a single multi-provider integration layer — reducing per-product overhead and cutting ~30% costs for all enterprise customers. - Designed and deployed an Agentic AI skill using LLMs, RAG, and Model Context Protocol (MCP) to automate bug root-cause analysis — reducing on-call team size by 66% and improving engineering productivity 10x. - Engineered a NATS-based async notification service processing 75K+ events across 25K concurrent workflows, reducing inter-service coupling and enabling independent downstream scaling without shared failure domains. Stack: Go, Python, PostgreSQL, LLMs, RAG, MCP, Kubernetes, Docker, AWS

Software Engineer at Blink Health, Mar 2023 - Mar 2024 · 1 yr 1 mo, Bengaluru, - Spearheaded a full-stack pharmacy partner portal processing 9M+ prescription claims/day across 20K pharmacy partners — scaled from pilot to production in 6 months through self-serve prescription workflows. - Built a robust Python (Flask/Django) backend and React/Next.js frontend, integrated with Blink's core prescription management APIs and PostgreSQL on AWS. - Enabled pharmacies of all sizes to onboard and operate independently without dedicated IT support, significantly reducing customer success overhead. Stack: Python, React.js, TypeScript, Next.js, Material UI, Tailwind, PostgreSQL, AWS

Software Development Engineer at Amazon, Oct 2021 - Mar 2023 · 1 yr 6 mos, Bengaluru, - Designed and launched an invoicing validation service (10M+ req/month) following a data-source migration — delivered with zero production incidents at go-live, ensuring complete data integrity across 2M+ active vendors. - Built a shared mock-response library adopted across all team services, enabling downstream API simulation during outages and raising deployment success rate by 30%. - Owned a third-party vendor invoice reconciliation system processing billions in invoice value, built on Java, Spring Framework, AWS, and DynamoDB. Stack: Java, Spring Framework, AWS, DynamoDB, AutoML, Microservices, HLD, LLD

Software Engineer at JPMorgan Chase & Co., Aug 2020 - Oct 2021 · 1 yr 3 mos, Bengaluru, - Implemented a Rasa-powered conversational AI assistant in Python, deployed across Chase's mobile and web channels — integrated with core banking APIs for real-time query resolution, deflecting 60%+ of customer support queries across 80M+ consumers. - Built a trade messaging system processing 1.8T+ daily pipeline events, enabling zero-downtime migration of relational DB records to JSON/XML across live downstream services. Stack: Java, Spring Boot, Python, JUnit, MySQL, Elasticsearch, Jenkins CI/CD, Microservices

Summer Intern at JPMorgan Chase & Co., May 2019 - Jul 2019 · 3 mos, Bengaluru, Karnataka, India, Returned to the firm with a Pre Placement Offer after having an impactful stint with the Investment Banking Division.

Education

Bachelor of Technology - BTech, Computer Science, Malaviya National Institute of Technology Jaipur