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Rajat Gade

@rajatgade

AI Engineer building agentic workflows and RAG systems, including a platform that evaluates retrieval and answer quality across 1,000+ queries.

United States

Message

At RancoLabs, I architected Java 17 and Spring Boot microservices for payment operations and transaction workflows. I engineered Kafka pipelines processing 80K+ events per hour and helped reduce failed deployments from 9% to 3% with containerized services and automated Kubernetes deployments.

At UMassAmherst, I integrated AI/ML inference into production workflows and built agentic workflows for multi-step requests. I also developed retrieval and patch-planning flows using BM25 and FAISS, and built evaluation workflows to compare model and system outputs.

I built SentryForge, an agentic system that turns authorized Slack requests into validated GitHub draft pull requests, with human approval and sandboxed patch validation. I also built and deployed a RAG application and evaluated retrieval and response quality across 1,000+ queries.

Experience

Work history, roles, and key accomplishments

Software Engineer, Contract

RancoLabs

Feb 2026 - Jul 2026 (5 months)

Architected Java 17/Spring Boot microservices with REST/gRPC APIs for production payment operations and transaction lifecycle workflows. Engineered Kafka event pipelines processing 80K+ events/hour with partition-based ordering, retries, and dead-letter handling.

Java Spring Boot REST APIs gRPC Kafka Docker Kubernetes Helm GitHub Actions Swagger OpenAPI 3.0

Software Engineer (Research)

UMass Amherst

Feb 2025 - Jan 2026 (11 months)

Integrated AI/ML inference into production application workflows using Python, FastAPI, asynchronous pipelines, Kafka, and scalable backend services. Designed cloud-native event-driven data processing pipelines using AWS (SQS, S3, RDS) and built agentic workflows for multi-step requests.

Python fastAPI Kafka AWS Amazon SQS S3 RDS Agentic Workflows BM25 Faiss LLM Evaluation

Software Engineer

Accenture

Jan 2021 - Jan 2023 (2 years)

Built enterprise Java/Spring Boot microservices and REST APIs supporting distributed checkout, payment, and transactional workflows serving 50K+ concurrent users. Reduced p95 API latency by 30% through SQL query optimization, Redis caching, and improved production data-access patterns.

Java Spring Boot REST APIs SQL Redis Junit Mockito