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Nikhil UserNU
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Nikhil User

@nikhiluser11

I build production-ready LLM systems and RAG pipelines as an ML Engineer focused on applied AI.

India
Message

What I'm looking for

I want an ML/Applied AI role building production LLM systems (RAG, agents, OCR) with strong engineering practices and opportunities to ship models and systems.

I am a Software Engineer and IIT Kharagpur graduate with 1+ years of hands-on experience applying LLMs to real-world problems, including RAG pipelines, multi-agent systems, OCR automation, and end-to-end chatbot applications.

At Alphadroid I built a reusable RAG pipeline used across internal products, automated handwritten text extraction from 10,000+ herbarium images using Gemini 2.5, and delivered multiple LLM POCs spanning chatbots, RAG variants, and a HuggingFace TTS form-filling system.

I have contributed open models and projects—fine-tuning Llama-3.2-3B-Instruct for code and publishing it on HuggingFace, and building deterministic Deep Research pipelines with LangGraph. I seek ML Engineer or Applied AI roles where I can architect reliable, production-grade LLM solutions.

Experience

Work history, roles, and key accomplishments

AL
Current

Associate Software Engineer

Alphadroid

Jan 2025 - Present (1 year 2 months)

Built a reusable RAG pipeline powering multiple internal products and automated extraction of handwritten text from 10,000+ herbarium images using Gemini 2.5, delivering structured metadata where conventional OCR failed.

UE

AI Integration Intern

UNP Education

May 2023 - Aug 2023 (3 months)

Evaluated generative AI solutions for a Q&A forum and built a StackOverflow-style ReactJS interface with NLP duplicate detection and a GPT fallback for unanswered queries.

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Kharagpur logoIK

Indian Institute of Technology Kharagpur

Dual Degree (B.Tech + M.Tech), Metallurgical and Materials Engineering

Grade: 7.29/10

Completed a Dual Degree (B.Tech + M.Tech) in Metallurgical and Materials Engineering with a CGPA of 7.29/10.

YN

Yaduvanshi Shiksha Niketan

Class XII - CBSE, Senior Secondary Examination

Grade: 91.2%

Completed Senior Secondary Examination (Class XII) under CBSE with a percentage of 91.2%.

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