Summary: AI Engineer at the Pitt AWS Cloud Innovation Center, finishing my M.S. in Information Science (3.9 GPA, May 2026). 4+ years of enterprise software engineering before grad school — led a 3-engineer team at Nagarro building an Order Management System (Spring Boot, SAP Commerce) that cut order cancellations by 85% across 62 fulfillment centers.
At the CIC, I build production GenAI applications on AWS: a semantic search tool over 1M+ survey rows using vector embeddings and tool calling, an OCR + LLM pipeline that eliminated 10 hours/week of manual data entry for a sports analytics platform, and a scalable SMS campaign system handling 100K+ messages with LLM-driven intent detection. I automate infrastructure with AWS CDK, CI/CD, and GitOps.
Side projects: built and deployed a job search management app on a personal Raspberry Pi k3s cluster (Spring Boot, MySQL, Redis, RabbitMQ), and currently building an expense analytics app that parses bank transaction emails with Spring Boot and Microsoft Graph API.
Looking for full-time roles starting May 2026 — backend, full-stack, cloud, or AI/ML engineering.
Remote: Yes
Willing to relocate: Yes, anywhere in USA
Technologies: Python, Java, TypeScript, Spring Boot, FastAPI, React, AWS (CDK, Lambda, S3, Bedrock, DynamoDB, SNS/SQS), GenAI/LLMs (Pydantic, LangChain, LangGraph, Claude), Docker, Kubernetes, Terraform, SQL, Redis
Résumé/CV: https://www.varunshelke.com/resume.pdf
Email: Varun.Shelke@pitt.edu
Summary: AI Engineer at the Pitt AWS Cloud Innovation Center, finishing my M.S. in Information Science (3.9 GPA, May 2026). 4+ years of enterprise software engineering before grad school — led a 3-engineer team at Nagarro building an Order Management System (Spring Boot, SAP Commerce) that cut order cancellations by 85% across 62 fulfillment centers.
At the CIC, I build production GenAI applications on AWS: a semantic search tool over 1M+ survey rows using vector embeddings and tool calling, an OCR + LLM pipeline that eliminated 10 hours/week of manual data entry for a sports analytics platform, and a scalable SMS campaign system handling 100K+ messages with LLM-driven intent detection. I automate infrastructure with AWS CDK, CI/CD, and GitOps.
Side projects: built and deployed a job search management app on a personal Raspberry Pi k3s cluster (Spring Boot, MySQL, Redis, RabbitMQ), and currently building an expense analytics app that parses bank transaction emails with Spring Boot and Microsoft Graph API. Looking for full-time roles starting May 2026 — backend, full-stack, cloud, or AI/ML engineering.