Rajat Gade

Available to hire

I’m a software engineer who builds cloud-native, distributed systems and AI-powered applications, with a strong focus on production reliability.

About

I’m a software engineer who builds cloud-native, distributed systems and AI-powered applications, with a strong focus on production reliability. I’ve worked across Java/Spring microservices, REST/gRPC APIs, event-driven architectures, and AWS-based data pipelines—designing systems that handle real workload and recover gracefully from failures.

I also enjoy developing end-to-end AI features like RAG pipelines and ML inference workflows, including retrieval and evaluation, orchestration with Kafka/workers, and performance tuning. From API governance to containerized deployments on Kubernetes, I bring a practical, developer-friendly approach to shipping maintainable services and delivering measurable improvements.

  • Joined March 2025

Languages

  • EnglishFluent

Industry experience

  • Computers & Electronics
  • Software & Internet
  • Professional Services
  • Media & Entertainment
  • Financial Services

More experts in Amherst, United States

Projects · 1

  • 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.
Aegis: Telemetry & Fallback API Gateway
  • App Developer

Work experience· 5 roles

Software Engineer (Contract, Remote) · R anco LabsFeb 2026 – Jul 2026 · 6 mos

Architected and developed Java 17 and Spring Boot microservices with REST/gRPC APIs for an internal payment operations and exception management platform supporting reconciliation, case investigation, and transaction lifecycle workflows. Engineered Kafka event streams for payment status, settlement, and exception workflows while processing 80K+ events per hour with per-transaction ordering and recoverability via partition keys, retries, and dead-letter handling. Containerized Spring Boot services with Docker and deployed to Kubernetes using Helm and GitHub Actions; standardized readiness checks and deployment templates that reduced failed deployments from 9% to 3% and rolled back faster (18 to 9 minutes). Established API governance using OpenAPI 3.0, schema versioning, and gRPC contracts to enable backward-compatible integrations across 10+ internal services.

Software Engineer · Ranco ITJan 2026 – Present · 11 mos

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.

Software Engineer (Research) · UMass AmherstFeb 2025 – Jan 2026 · 1 yr

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.

Associate Software Engineer · AccentureJul 2021 – Jan 2023 · 1 yr 7 mos
Software Engineer · AccentureJan 2021 – Jan 2023 · 2 yrs 1 mo

Education

Master of Science in Computer Science · University of Massachusetts Amherst2023 – 2025
Bachelor of Engineering in Computer Engineering · Savitribai Phule Pune University2017 – 2021
Master of Science - Computer Science (GPA: 3.87/4) · University of Massachusetts Amherst2023 – 2025
Bachelor of Engineering - Computer Engineering (GPA: 9.2/10) · Pune University2017 – 2021

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