Nikhil User
@nikhiljatiwal_
I build production-ready LLM systems and RAG pipelines as an ML Engineer focused on applied AI.
IndiaWhat I'm looking for
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
Associate Software Engineer
Alphadroid
Jan 2025 - Present (1 year 5 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.
ML Research Engineer
Integrisphere
Aug 2025 - Nov 2025 (3 months)
Built a deterministic Deep Research pipeline using LangGraph multi-agent supervisor architecture to produce reliable domain-specific reports from proprietary documents.
Consulting Intern
MarkTechPost
Jan 2024 - Aug 2025 (1 year 7 months)
Authored technical articles on Reinforcement Learning, Federated Learning, and Multimodal LLMs for a platform reaching ~1.5 million active readers.
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.
Fine-tuned Llama-3.2-3B-Instruct on a Python code dataset using Unsloth for efficient training and published the model to HuggingFace for public use.
Education
Degrees, certifications, and relevant coursework
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.
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%.
Availability
Location
IndiaAuthorized to work in
Social media
Job categories
Skills
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