---
title: "Annu Soni - Intern in Noida | Tal"
description: "Meet Annu Soni, Final Year CSE (AI/ML) | Generative AI & Machine Learning | Python | LLMs | RAG | SQL based in Noida."
image: "https://tal.club/meet/annu-4/share-image"
---

# Annu Soni on Tal

## Headline

Final Year CSE \(AI/ML\) \| Generative AI & Machine Learning \| Python \| LLMs \| RAG \| SQL

## About

I am a final\-year B\.Tech CSE \(AI & ML\) student passionate about Artificial Intelligence, Machine Learning, and Generative AI\. I enjoy building practical AI\-powered applications and continuously improving my problem\-solving skills through hands\-on projects and learning\. I have worked on projects involving LLMs, RAG pipelines, and machine learning concepts using Python and modern AI tools\. Some projects I’ve worked on include: • AI Resume Screening System using LLMs • YouTube Chatbot using RAG & LangChain • Recommendation System I am actively seeking internship and full\-time opportunities where I can apply my skills, contribute to impactful projects, and grow as an AI/ML engineer\. Skills: Python • Machine Learning/Deep Learning • Generative AI/Agentic AI • LangChain • RAG • NumPy • Pandas • Scikit\-learn • Java • Git • SQL

## Location

Noida

## Work experience

Intern at IBM, Jul 2025 \- Aug 2025 · 2 mos, PBEL Equivalent to Virtual Internship – AI \| IBM Developer Skills Network Successfully completed the PBEL Virtual Internship in AI, offered by IBM Developer Skills Network, where I gained practical experience in deep learning and image processing\. During the internship, I worked on a key project: Image Classification using Convolutional Neural Networks \(CNNs\): Designed and implemented a CNN model to classify images into multiple categories\. Learned to preprocess image data, build and train deep learning architectures, apply activation functions, optimize model performance, and evaluate accuracy using standard metrics\. Skills and tools acquired: Deep learning techniques with CNNs, including convolutional layers, pooling, dropout, and softmax classifiers Python programming and TensorFlow/Keras frameworks for model development Image preprocessing, augmentation, and dataset handling Model training, evaluation, and optimization techniques Applied AI/ML concepts to solve real\-world problems in computer vision This internship enhanced my ability to apply deep learning techniques for image analysis and strengthened my understanding of neural networks, computer vision, and AI model deployment\.

## Education

Galgotias College of Engineering and Technology

[View the original profile](https://tal.club/meet/annu-4)

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