---
title: "Satyajeet Parmar - Machine Learning Intern in Uttar Pradesh | Tal"
description: "Meet Satyajeet Parmar, Web Developer | Java and Python Developer | DSA Explorer | Machine Learning Enthusiast based in Uttar Pradesh. AI stack includes antigravity, claude code, and cursor. Explore public work links including github."
image: "https://tal.club/meet/satyajeet-parmar/share-image"
---

# Satyajeet Parmar on Tal

## Headline

Web Developer \| Java and Python Developer \| DSA Explorer \| Machine Learning Enthusiast

## About

Oh hey, didn’t see you there\. 👀 I’m Satyajeet Parmar, your friendly neighborhood web developer \(in training\), turning coffee into code and bugs into\.\.\. more creative bugs\. Currently on a mission to build cool stuff on the web — from clean, responsive front\-ends to back\-ends that \(hopefully\) don’t crash under pressure\. I spend my time experimenting with HTML, CSS, JavaScript, and whatever else the internet tells me I should learn next\. 🚧 Work in progress? Always\. 🚀 Eager to learn? Definitely\. 💡 Looking for opportunities to grow, build real things, and maybe even get paid to do what I love? You bet\. If you’re into building, learning, or debugging existential crises caused by missing semicolons — we’ll get along just fine\. Let’s connect\. I promise I won’t message you with a “Hi 👋” and nothing else \(well\.\.\. probably\)\.

## Location

Uttar Pradesh

## AI stack

antigravity

claude code

cursor

gemini

grok

meta

## Work experience

Machine Learning Intern at National Institute of Technology , Patna, Jun 2025 \- Aug 2025 · 3 mos, Patna, Bihar, India, Analysis of Different CNN Models for Breast Cancer Image Classification Designed, implemented, and evaluated 7 CNN architectures \(Simple CNN, VGG16, ResNet50, DenseNet, EfficientNet, GoogLeNet, ConvNeXt\) for breast cancer classification using the BreakHis histopathological image dataset\. Achieved up to 95% accuracy with ConvNeXt through transfer learning, advanced data augmentation, and hyperparameter tuning\. Preprocessing: Applied normalization, resizing, and augmentation using NumPy and OpenCV to improve generalization\. Tools & Frameworks: Python, TensorFlow, Keras, NumPy, OpenCV, Google Colab\. Repository: https://github\.com/satyajeetparmar0/image\-classification\-cnn\.git Skills: Python · NumPy · TensorFlow · Keras · OpenCV · Machine Learning · Deep Learning · Transfer Learning

## Education

Galgotias College of Engineering and Technology

## Public links

- github: https://github\.com/satyajeetparmar0

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

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