I’m a software engineer who enjoys building high-throughput, production-grade systems that make real-time experiences fast and reliable. At Datadog, I’ve owned services that ingest and cache telemetry at scale, improved API performance through query tuning and caching, and led frontend architecture for an incident-response dashboard used by engineers in day-to-day operations. I also like turning data into better search and insight—by building RAG-based engineering search pipelines using embeddings and vector search—and strengthening platforms with automation, observability, and quality improvements. From React and WebSockets to Node.js services, Python exporters, and AWS-based CI/CD, I focus on clean architecture, measurable performance gains, and dependable releases.

Chetan Reddy Gajjala

I’m a software engineer who enjoys building high-throughput, production-grade systems that make real-time experiences fast and reliable. At Datadog, I’ve owned services that ingest and cache telemetry at scale, improved API performance through query tuning and caching, and led frontend architecture for an incident-response dashboard used by engineers in day-to-day operations. I also like turning data into better search and insight—by building RAG-based engineering search pipelines using embeddings and vector search—and strengthening platforms with automation, observability, and quality improvements. From React and WebSockets to Node.js services, Python exporters, and AWS-based CI/CD, I focus on clean architecture, measurable performance gains, and dependable releases.

Available to hire

I’m a software engineer who enjoys building high-throughput, production-grade systems that make real-time experiences fast and reliable. At Datadog, I’ve owned services that ingest and cache telemetry at scale, improved API performance through query tuning and caching, and led frontend architecture for an incident-response dashboard used by engineers in day-to-day operations.

I also like turning data into better search and insight—by building RAG-based engineering search pipelines using embeddings and vector search—and strengthening platforms with automation, observability, and quality improvements. From React and WebSockets to Node.js services, Python exporters, and AWS-based CI/CD, I focus on clean architecture, measurable performance gains, and dependable releases.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

Javanese
Advanced

Work Experience

Software Engineer at Datadog
October 1, 2024 - Present
Owned a distributed telemetry ingestion and caching service using Node.js, TypeScript, AWS, and Redis, improving throughput by 83% (3M to 5.5M events/hour) under identical workloads. Reworked build, test, infrastructure, and release automation with Jenkins and Terraform, reducing CI/CD wall-clock time by 87% (about 6 hours to under 45 minutes). Designed and maintained 10+ REST and GraphQL endpoints backed by PostgreSQL and Redis, improving frequently used API paths by ~25% through query tuning and caching. Led frontend development of an internal incident-response dashboard used by 15+ engineers, owning React/TypeScript architecture, state management, API integration, and real-time production delivery. Built a production WebSocket layer for ~200+ telemetry updates/second with reconnection/recovery and batched state updates for responsive monitoring views. Developed a RAG-based engineering search workflow indexing 5,000+ internal documents using embeddings and vector search. Built Python
Associate Software Engineer at Infosys
May 1, 2022 - August 1, 2023
Developed full-stack enterprise application modules using Angular, Java, and Spring Boot supporting 10,000+ concurrent users. Built Angular workflows integrated with Spring Boot REST APIs, handling form state, validation, authentication, and user-facing error handling. Implemented Spring Boot REST APIs with JWT authentication and improved MySQL and MongoDB performance through query rewrites, indexing, and data-access optimization. Supported migration of legacy components into Dockerized microservices deployed on AWS ECS and added JUnit regression tests to CI pipelines for production releases.

Education

M.S. in Computer Science at California State University, Dominguez Hills
August 1, 2023 - May 1, 2025
M.S. in Computer Science at California State University, Dominguez Hills
August 1, 2023 - May 1, 2025
M.S. in Computer Science at California State University, Dominguez Hills
August 1, 2023 - May 1, 2025

Qualifications

Industry Experience

Software & Internet, Computers & Electronics, Professional Services, Healthcare, Education