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Tathagat Agrawal

@tathagatagrawal

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Applied AI/ML researcher and engineer with experience building end-to-end AI systems for production.

India

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What I'm looking for

I’m seeking roles at the intersection of NLP, LLMs, and real-world product impact.

At Neural Nurture, I developed a learning-to-rank recommendation system for the travel industry that improved NDCG@3 by about 40% over the prior baseline. I also integrated SHAP and attention-weight explanations to make recommendations more interpretable.

I fine-tuned LLMs with SFT and LoRA to generate recommendation explanations, resolving a training-data bias that improved factual accuracy to 98.4%. I also trained a multi-task NER and intent-classification model on 100,000 annotated samples, achieving an F1-score above 94%.

My work spans research and production: I’ve published three peer-reviewed papers, and built projects including an architecture-agnostic agent evaluation framework and an LLM-powered clinic scheduler. I’m seeking roles at the intersection of NLP, LLMs, and real-world product impact.

Experience

Work history, roles, and key accomplishments

Current

Applied Scientist (AI/ML)

Current

Neural Nurture

Oct 2025 - Present (1 year)

Developed a recommendation model (LambdaMART/XGBoost), improving NDCG by 40%. Integrated SHAP, attention weights. Fine-tuned LLMs (SFT and LoRA). Diagnosed and resolved a data bias causing hallucinations, improving accuracy to 98.4%. Trained a multi-task NER+intent model, achieving F1-score of 94%. Designed tool-calling systems. Designed an end-to-end evaluation framework for the product.

LambdaMART XGBoost SHAP SFT LoRAs RoBERTa NER Intent Classification Agentic Tool Use Prompt Engineering API Integration Evaluation Frameworks Research Technical Interviews AI AI ML AI Evaluation MLOps

Business Analyst Intern

Finlatics – NITI Aayog, Govt. of India

May 2024 - May 2024 (0 months)

Conducted case studies on data-driven decision-making and automated data cleaning pipelines with Python scripts, significantly reducing processing time. Facilitated data-driven reporting to senior leadership.

Python Data Cleaning Data Analysis Reporting

Education

Degrees, certifications, and relevant coursework

VIT Bhopal University

Integrated M.Tech., Artificial Intelligence

2020 - 2025

Grade: 9.1/10.0

Integrated M.Tech. in AI from VIT Bhopal University, with a CGPA of 9.1/10.0. Thesis investigated the effects of grokking in transfer learning settings.