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Rajat Dabas

@rajatdabas

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Software engineer focused on scalable microservices and AI-powered automation.

India

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What I'm looking for

I seek backend/platform roles where I can build scalable microservices and AI-driven automation, work with cloud-native teams, and impact reliability and performance while growing into system and AI engineering leadership.

I am a software engineer specializing in microservices, backend systems, and AI-enabled automation, with hands-on experience building high-throughput Java/Spring Boot services and Python-based AI tooling. I have driven significant performance and efficiency gains—migrating APIs to Protobuf, upgrading Java and Spring Boot versions, and designing rate-limiting and queue-age-aware optimizations to maintain 99.9% availability under traffic spikes.

I build end-to-end systems and developer tooling, from REST/gRPC APIs and Kafka consumers to LangChain/OpenAI-backed chatbots and MCP servers, and deploy on cloud-native platforms using Kubernetes, Jenkins, and CI/CD. I also develop full-stack projects (React, Node.js, MongoDB) and continuously sharpen algorithmic skills through competitive programming achievements.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Paytm

Jun 2025 - Present (5 months)

Built AI-powered MCP servers and chatbot using Python and LangChain, reducing external API dependency by 99% and automating tech-ops workflows; contributed to Java/Spring Boot multi-tier rate limiting architecture handling 10x traffic spikes while maintaining 99.9% availability.

Python Lang Chain Java Spring Boot Kafka Protobuf Microservices AWS CI CD

Software Engineer Intern

Paytm

Jan 2025 - Jun 2025 (5 months)

Migrated 10+ high-traffic APIs from JSON to Protobuf, reducing payload size by 35%, latency by 15%, and increasing server throughput by 20%; upgraded services from Java 17 to Java 21 and Spring Boot 3.3.5 to improve maintainability.