Hello, World! 👋

Geddam Chaitanya

AI/ML Engineer ✦ Data Scientist ✦ Full Stack Dev ✦ Tech Creator

3 years building intelligent systems — end-to-end ML pipelines, GenAI agents, and MERN apps. 20+ AI/ML projects. 2K+ followers. Currently open to AI · Data · Fullstack opportunities.

Let's Talk View Work

3+Years Exp

20+AI Projects

2K+Followers

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About Me

I'm an AI/ML Engineer and Data Scientist based in Hyderabad, Telangana, currently an Associate Software Engineer (AI/ML) at TCS. I specialise in end-to-end ML pipelines, deep learning models (CNN, LSTM), and Generative AI agents using Google ADK & MCP.

Beyond AI, I'm a MERN Stack Developer — I love bridging intelligent backend systems with polished web experiences. Multiple projects live on my GitHub and LinkedIn.

I also create tech content on YouTube & Instagram, breaking down complex AI concepts into simple, digestible insights for a growing community of 2K+ followers!

🤖 AI/ML🧠 Deep Learning ⚡ GenAI🌐 MERN Stack 📊 Data Science🎥 Content Creator

Emailchaitanyatech.77@gmail.com

Phone+91 7729934148

LocationHyderabad, Telangana

Status🟢 Open to Opportunities

GitHubchaitanyatech77q

LinkedInchaitanya-geddam

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Core Skills

Programming

PythonSQLJavaScriptHTML/CSS

Data Science

Data CleaningEDAFeature EngineeringPreprocessing

Machine Learning

Scikit-learnTensorFlowKerasNLP

Deep Learning

CNNLSTMBLEU ScoreF1 / Recall

Generative AI

PromptingRAGADKMCPMulti-Agent

Libraries & Tools

PandasNumPyMatplotlibSeabornJupyterGit

Full Stack (MERN)

MongoDBExpress.jsReactNode.jsREST APIs

Databases

SQLiteMySQLMongoDB

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Work Experience

Associate Software Engineer AI/ML

TCS — Tata Consultancy Services · Hyderabad

Sep 2023 – Present

Worked with datasets ranging from 8K+ to 100K+ records for model training and validation.
Built end-to-end ML pipelines for structured and unstructured datasets.
Implemented NLP pipelines — text preprocessing, tokenization, and classification.
Trained and evaluated models using Scikit-learn and TensorFlow/Keras.
Applied evaluation metrics: accuracy, precision, recall, F1-score, confusion matrix.
Automated preprocessing workflows to ensure reproducibility.
Integrated ML outputs into REST-based inference services.
Exposed ML models via Flask-based REST APIs for local inference testing.
Used SQL queries for dataset extraction, validation, and preprocessing.

PythonTensorFlowScikit-learnFlaskSQLNLP

AI/ML Data Science Intern Intern

TryLogic Soft Solutions AP Pvt Ltd · Vijayawada

2022

Developed web scraping tools using Python, BeautifulSoup, and Requests to extract structured datasets.
Applied OOP principles for modular and maintainable code in AI/Data Science projects.
Processed and analyzed large datasets using Pandas, NumPy, and Matplotlib.
Completed 20+ real-world AI/Tech projects (OJT), executing and debugging open-source repos.
Implemented API integrations and deployed small-scale web applications.

PythonBeautifulSoupPandasNumPyAPIs

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Featured Projects

Image Caption Generator

Deep Learning

Image Caption Generator

CNN + LSTM model for automated image caption generation. Processed Flickr8k dataset evaluated with BLEU score. Integrated into application workflows for testing.

CNNLSTMFlickr8kBLEUPython

Agentic AI System

Generative AI

Agentic AI System (ADK + MCP)

Built AI agents using Google ADK with Model Context Protocol. Custom tools, image-generation agents, human-in-the-loop flows, and memory workflows published on GitHub.

ADKMCPGenAIPythonMulti-Agent

MERN Stack App

Full Stack · MERN

MERN Stack Web Application

Full-stack application built with MongoDB, Express, React, and Node.js. RESTful API architecture, responsive UI, deployed on Netlify.

MongoDBExpressReactNode.js

NLP Pipeline

NLP · Machine Learning

NLP Classification Pipeline

End-to-end NLP pipeline with text preprocessing, tokenization, and classification on large datasets. Strong performance metrics across F1, precision, and recall.

NLPScikit-learnPythonPandas

View All on GitHub Projects on LinkedIn

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Freelance Journey

AI/ML Project Developer Freelance

Delivered 20+ AI/ML academic projects across NLP, computer vision, and tabular domains. Full-cycle data science — cleaning, preprocessing, model training, evaluation, and delivery of reproducible notebooks with documented performance metrics.