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Jeel Viradiya

@jeelviradiya

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Backend engineer specializing in scalable Java microservices, data pipelines, and performance optimization.

India

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What I'm looking for

I seek backend/platform roles where I can build scalable systems, improve reliability, and work cross-functionally on high-throughput data pipelines.

I am a backend engineer focused on building reliable, high-performance Java microservices and data pipelines for production platforms.

At Commotion I developed and maintained Spring Boot microservices, implemented Kafka-based asynchronous pipelines, and built fault-tolerant batch jobs to migrate and reindex over 1M records, eliminating lengthy manual release steps.

I optimized high-traffic endpoints with Redis caching, reduced response times and infrastructure costs, integrated gRPC and GraphQL to improve payload efficiency, and supported AI/ML features by improving backend data availability to 99%.

I write unit and integration tests, own features end-to-end, and collaborate with cross-functional teams to deliver production-ready systems that scale and remain resilient under peak traffic.

Experience

Work history, roles, and key accomplishments

Current

Backend Engineer

Current

Commotion

Jan 2025 - Present (1 year)

Developed and maintained Spring Boot microservices and Kafka-based pipelines for a production platform, reducing API incidents by 10%, processing 5M events in hours, and cutting response time by 30% via Redis caching.

Java Spring Boot Kafka Redis MongoDB Elasticsearch gRPC GraphQL

Education

Degrees, certifications, and relevant coursework

Dhirubhai Ambani Institute of Information and Communication Technology

Bachelor of Technology, Information and Communication Technology

2021 - 2025

Activities and societies: Student projects including a Kafka-integrated enterprise streaming application; participated in ACM ICPC (Amritapuri Region) and college hackathons.

Bachelor of Technology in Information and Communication Technology completed with coursework and projects focused on backend systems, streaming applications, and distributed systems.