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Chandan UserCU
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Chandan User

@chandanuser2

I’m a GenAI engineer building multilingual LLM pipelines and RAG systems for real-world NLP.

India
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What I'm looking for

I’m looking for a role where I can build multilingual GenAI and LLM/NLP pipelines (RAG, classification, NLU), ship scalable backend workflows, and turn real-world data into measurable impact.

I’m a GenAI Engineer focused on designing and implementing multilingual LLM pipelines, RAG workflows, LLM-based token classification, and natural language understanding for real-world systems. I build end-to-end AI workflows using models like Llama-3, GPT models, and mBERT/XLM-R, with strong fundamentals in algorithms, distributed systems, and scalable backend development.

In my Technical Fellow role, I processed multilingual field reports into structured insights using LLM-based NER, topic extraction, and sentiment analysis, and built an internal GenAI analytics pipeline for constituency-level voter issue detection—while automating classification/tagging/summarization to cut manual review time by over 70%. I also delivered a Hindi-to-ISL multilingual LLM translator achieving 91% translation accuracy (BLEU + human evaluation), and I enjoy shipping practical AI features like receipt parsing and spending insights through API-driven NLP.

Experience

Work history, roles, and key accomplishments

JP

Technical Fellow

JSPT Pvt.Ltd.

May 2025 - Oct 2025 (5 months)

Processed multilingual volunteer field reports using LLM-based NER, topic extraction, and sentiment analysis to produce structured constituency insights. Built an internal GenAI analytics pipeline and automated LLM-based classification/tagging workflows, reducing manual review time by over 70%.

Education

Degrees, certifications, and relevant coursework

IL

Institute of Engineering and Technology, Lucknow

Bachelor of Technology, Computer Science and Engineering

2021 - 2025

Pursued a B.Tech in Computer Science and Engineering at the Institute of Engineering and Technology, Lucknow from 2021 to 2025.

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