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Chirag BharadwajCB
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Chirag Bharadwaj

@chiragbharadwaj

I build high-throughput backend systems and production AI platforms for enterprise automation.

India
Message

At Rakuten India, I rebuilt an event-processing pipeline in Go and Cassandra from 36.5 to 3,884 QPS/thread, reducing a 60M-event batch from 45 hours to 26 minutes. I also put a Kafka-based notification service into production to transform and route 14B+ identity events monthly.

I build production AI systems including Zuno, an enterprise document intelligence platform using Azure OpenAI GPT-4o, hybrid search, n8n, React, and Next.js. My work spans RAG agents, observability, secure multi-tenant platforms, and explainable medical AI research published through IEEE and ETASR.

Experience

Work history, roles, and key accomplishments

RI

Machine Learning Engineering Intern

Mar 2024 - Aug 2024 (5 months)

Built and deployed an LLM-powered automation agent using RAG with FAISS, achieving 90% retrieval accuracy. Developed async Elasticsearch pipelines and automated API availability monitoring with Jenkins.

Education

Degrees, certifications, and relevant coursework

BMS College of Engineering logoBE

BMS College of Engineering

Bachelor of Technology, Computer Science and Engineering

2020 - 2024

Pursued a Bachelor of Technology in Computer Science and Engineering from August 2020 to May 2024.

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