Rajat Gade

Available to hire

Skills

Experience Level

Java
Expert
JavaScript
Expert
Python
Expert
SQL
Expert
Redis
Expert
PostgreSQL
Expert
TypeScript
Expert
Docker
Expert
Kubernetes
Expert
AWS
Expert
Spring
Expert
MongoDB
Expert
GraphQL
Expert
Go
Expert
Tailwind
Expert
Django
Expert
C++
Intermediate
GitHub Copilot
Intermediate
Jira
Intermediate
See more

Language

English
Fluent

Work Experience

Associate Software Engineer at Accenture
July 27, 2021 - January 30, 2023
Developed Spring Boot backend modules with optimized SQL schemas, supporting 5K+ daily transactions at 99.9% uptime and delivering 18% faster response times across multi-region deployments; implemented Redis caching layers with concurrent-safe pipelines, reducing database load and request latency by 15% and improving checkout responsiveness during traffic spikes; increased automated test coverage from 70% to 90%, reducing production defects by 30% and stabilizing cross-team releases; designed versioned catalog entities and APIs, reducing downstream integration time by 20% and accelerating feature delivery through backward-compatible schema evolution.
Software Engineer (Research) at UMass Amherst
February 1, 2025 - January 1, 2026
Built an end-to-end AI-native application (React, FastAPI) with real-time streaming interfaces, reducing conversational latency and delivering a highly responsive user experience. Designed and deployed agentic workflows enabling autonomous multi-step user tasks while maintaining session state across concurrent interactions. Iterated on product features through rapid prototyping and user feedback, improving response quality and usability. Instrumented the full stack with Prometheus and Grafana to establish telemetry and rapidly detect/resolve latency bottlenecks across frontend and ML services.
Software Engineer at Ranco IT
January 31, 2026 - Present
Shipped checkout microservices with comprehensive telemetry and distributed tracing, enabling proactive detection of gateway bottlenecks and reducing MTTR for production incidents. Engineered resilient API gateway configurations implementing intelligent rate-limiting and circuit-breaking patterns to protect downstream payment services during traffic spikes.

Education

Master of Science in Computer Science at University of Massachusetts Amherst
February 1, 2023 - January 1, 2025
Bachelor of Engineering in Computer Engineering at Savitribai Phule Pune University
July 1, 2017 - April 1, 2021

Qualifications

Add your qualifications or awards here.

Industry Experience

Computers & Electronics, Software & Internet, Professional Services, Media & Entertainment
    paper Aegis: Telemetry & Fallback API Gateway
    • Built a self-healing API gateway for agentic workflows and LLM-powered applications using Python and FastAPI for reliable AI-driven user interactions despite upstream failures.
    • Architected a semantic caching layer utilizing Redis and local embedding models to intercept high-similarity queries, bypassing costly LLM inference entirely and heavily reducing p99 response latency.
    • Orchestrated LLM infrastructure to support continuous AI-driven interactions, specifically engineering fallbacks to handle edge cases like rate-limiting and external API downtime.
    • Engineered and orchestrated LLM infrastructure, including fallbacks for AI-driven interaction edge cases like rate-limiting and API downtime.
    • Instrumented the gateway with rigorous Prometheus and Grafana telemetry to monitor cache hit rates and
      system degradation, deploying data quality gates to reject prompt injection anomalies automatically.