---
title: "DEEPANSHU SHIMAR - Research Intern in Sonipat | Tal"
description: "Meet DEEPANSHU SHIMAR, B.Tech CSE (AI & ML) graduate with internship experience at NIT Warangal & DRDO. Skilled in Python, PyTorch, scikit-learn & LightGBM, building AI solutions in forecasting, classification & computer vision. based in Sonipat. AI stack includes claude code, codex, and hugging fa..."
image: "https://tal.club/meet/deepanshu-shimar/share-image"
---

# DEEPANSHU SHIMAR on Tal

## Headline

B\.Tech CSE \(AI & ML\) graduate with internship experience at NIT Warangal & DRDO\. Skilled in Python, PyTorch, scikit\-learn & LightGBM, building AI solutions in forecasting, classification & computer vision\.

## About

B\.Tech CSE \(AI & ML\) graduate with research and ML internship experience at NIT Warangal & DRDO\. Skilled in Python, PyTorch, scikit\-learn & LightGBM, with hands\-on experience building real\-world AI/ML solutions\.

## Location

Sonipat

## AI stack

claude code

codex

hugging face

langchain

huggingface

Napkin AI

## Work experience

Research Intern at National Institute of Technology Warangal, Aug 2025 \- Dec 2025 · 5 mos, Remote, Built an end\-to\-end ML pipeline for crop\-yield forecasting across 572 Indian districts, leveraging large\-scale geospatial datasets from NASA POWER, MODIS, and SoilGrids\. Developed and optimized a LightGBM model achieving R² = 0\.906 and MAE = 17\.65 kg/ha, with training approximately 40× faster than a deep neural network\. Performed feature engineering, feature\-importance analysis using SHAP, and error profiling to improve model interpretability and performance\. Worked with Python, PyTorch, scikit\-learn, and LightGBM to build scalable and production\-oriented ML solutions\.

Machine Learning Intern at INMAS, Defence Research and Development Organization \(DRDO\), Jun 2025 \- Aug 2025 · 3 mos, Delhi, India, Developed and evaluated six machine learning classifiers for toxic\-gas identification using multi\-sensor chemical data\. Achieved 95\.02% classification accuracy and an exceptional ROC\-AUC of 0\.9965 using XGBoost\. Performed model evaluation and comparison to identify the best\-performing classifier for reliable gas detection\. Exported trained models in PKL and ONNX formats for potential integration into real\-time drone and embedded\-system applications\.

## Education

Bachelor of Technology \- BTech, Computer Science AI ML, Maharshi Dayanand University \(MDU\), Rohtak

12th, Non medical, DAV Multipurpose Public School \- India

## Public links

- github: https://github\.com/I\-Deepanshu
- medium: https://medium\.com/@deepanshusnpt

[View the original profile](https://tal.club/meet/deepanshu-shimar)

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