---
title: "Shlok Nandwana - Data Science Intern in Jaipur | Tal"
description: "Meet Shlok Nandwana, Generative AI | LLMs | RAG Systems | NLP | Computer Vision | PySpark | Snowflake | Airflow based in Jaipur. AI stack includes antigravity, claude code, and claude. Explore public work links including github and leetcode."
image: "https://tal.club/meet/shlok-nandwana/share-image"
---

# Shlok Nandwana on Tal

## Headline

Generative AI \| LLMs \| RAG Systems \| NLP \| Computer Vision \| PySpark \| Snowflake \| Airflow

## About

I am a dedicated and enthusiastic B\.Tech student specializing in Information Technology\. With a stable foundation in engineering principles, I have my keen interest in domain of AI/ML\. I am eager to apply my knowledge and skills to real\-world challenges where I can learn from others and contribute my ideas\. Feel free to connect with me if you share similar interests\. I am always open to networking and learning from others in the industry\!

## Location

Jaipur

## AI stack

antigravity

claude code

claude

codex

github copilot

langchain

## Work experience

Data Science Intern at BigHaat India, Aug 2026 \- Present · 1 mo, Bengaluru, Karnataka, India, \-Developed and optimized MLOps pipelines for the Crop Doctor disease\-classification system, supporting model training, deployment, and monitoring\. \-Trained CNN\-based models and fine\-tuned Vision Transformers \(ViTs\) for crop disease classification, improving image\-based disease detection and classification performance\.

AI Developer Intern at Jabit Soft Pvt Ltd, Feb 2026 \- Jul 2026 · 5 mo, Noida, Uttar Pradesh, India, \- Architected a Retrieval\-Augmented Generation \(RAG\) pipeline integrating LLMs \(GPT/Llama\-class\) with enterprise document stores to power an intelligent chatbot\. \- Implemented document ingestion, chunking strategies, and vector embedding generation \(FAISS / ChromaDB\) to ground responses in company\-specific knowledge\. \- Optimized retrieval accuracy through prompt engineering, context window management, and semantic similarity tuning\.

Winter Trainee at Indian Institute of Technology, Kanpur, Dec 2025 \- Dec 2025 · 1 mo, Kanpur, Uttar Pradesh, India, \- Got an opportunity as Winter Trainee under EICTA of IIT Kanpur in domain of Machine Learning with Python\. \- Covered: Data Preprocessing, Handling Missing Values, Neural Network fundamentals \(weights, activations, backpropagation\), and model evaluation metrics

Machine Learning Intern at Dzaro Solutions, Jun 2025 \- Jul 2025 · 1 mo, Pune District, Maharashtra, India, \- Built end\-to\-end Deep Learning pipelines for image and text tasks using PyTorch and TensorFlow, covering data preprocessing through model evaluation\. \- Designed and trained CNN architectures for image classification, achieving optimized accuracy through layer tuning and regularization\. \- Developed RNN and LSTM models for sequential text data, implementing NLP preprocessing \(tokenization, padding, embedding layers\)\. \- Managed full ML workflow: data collection → preprocessing → model training → validation → performance benchmarking using Scikit\-learn

## Education

Bachelor of Technology \- BTech, Information Technology, SKIT Jaipur

CBSE 12th, St\. Anthony Sr\. Sec\. School

## Public links

- github: https://github\.com/shlok0603
- leetcode: https://leetcode\.com/shlok1256

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

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