About Me

Dhev Mugunddhan A

Hi, I'm Dhev Mugunddhan A — an AI Engineer and Data Science enthusiast passionate about building intelligent, data-driven solutions. I recently graduated with a B.Tech in AI & Data Science(CGPA: 9.3/10) from Shiv Nadar University, Chennai.

I specialize in developing end-to-end AI models, deep learning pipelines, and full-stack data-driven applications. My work spans computer vision, NLP, recommendation systems, and forecasting models, leveraging PyTorch, TensorFlow, Keras 3, PostgreSQL, and cloud platforms.

During my internship at HCL Technologies, I built and deployed commodity price forecasting systems, designed cloud-integrated databases, and explored GenAI solutions for supply chain optimization. I’ve also developed projects like skin lesion classification, abstractive summarization consistency evaluation, and a Flask-based movie recommendation system.

I’m highly ambitious and passionate about working on AI-first products that solve real-world problems at scale. Feel free to explore the sections below to learn more about my expertise, projects, and skills, and don’t hesitate to reach out using the contact details provided below for opportunities, collaborations, or discussions.

Experience

AI & Data Science Intern

HCL Technologies, Chennai

May 2024 - July 2024

HCL Technologies, Chennai logo
  • Developed and evaluated forecasting models to predict commodity prices, identifying SARIMAX as the most effective model.
  • Deployed the model as a web application using backend APIs and integrated it with a frontend.
  • Designed database schema and created a PostgreSQL database on Azure cloud, building the entire data lifecycle.
  • Ideated GenAI solutions for the Supply Chain domain and presented them to leadership.

Paid AI & Data Science Content Creator

Internshala Data & AI Club

Oct 2023 - Feb 2024

Internshala Data & AI Club logo
  • Collaborated with a community of creators, curating around 70 high-quality posts on hot topics in the AI and Data Science domain.
  • Guided nascent creators and consistently met deadlines amidst academic responsibilities.

Student Intern

Academor, Remote

July 2023 - Aug 2023

Academor, Remote logo
  • Learnt AI, ML algorithms and deploying techniques.
  • Drafted a report on AI Applications in Logistics: Opportunities and Ethical Considerations based in Australia.

Education

B.Tech in Artificial Intelligence and Data Science

Shiv Nadar University, Chennai, India

2021 - 2025

CGPA: 9.3 / 10.0

Shiv Nadar University, Chennai, India logo

CBSE Grade 12

Chettinad Vidya Mandir, Karur, India

2020 - 2021

Marks: 96.4%

Chettinad Vidya Mandir, Karur, India logo

CBSE Grade 10

Chettinad Vidya Mandir, Karur, India

2018 - 2019

Marks: 92.8%

Chettinad Vidya Mandir, Karur, India logo

Skills

Programming Languages

PythonJavaCMySQLPostgreSQLJavaScriptHTML/CSSMERNBash

Libraries & Frameworks

TensorFlowKeras 3PyTorchHuggingFaceOpenCVLibrosaFlaskHadoopPySparkMLFlowPlotlyPandasscikit-learnNLTKSpacy

Other Tools & Technologies

TableauExcelDockerGit/GitHub/GitLabPgAdmin4AWS SagemakerAWS Cloud Services

Languages

English - FluentTamil - NativeHindi - Basic

Projects

Skin Lesion Classification

Skin Lesion Classification

Built MedMamba, ViTs, ResNets, and other models with ensembling on ISIC datasets. Performed extensive EDA, class imbalance handling, and feature engineering in an end-to-end ML pipeline.

PyTorchKeras 3OpenCVScikit-learn
View on GitHub →
Movie Recommendation System

Movie Recommendation System

Designed a full-stack web app with a content-based filtering recommender system on the IMDB dataset, using PostgreSQL for the backend and Flask for the server.

Scikit-learnFlaskPostgreSQLHTML/CSS
View on GitHub →
Factual Consistency of Text Summarization

Factual Consistency of Text Summarization

Evaluated abstractive text summarization by performing NLP preprocessing and generating sentence embeddings using various models like TF-IDF and BERT.

PyTorchNLTKSpaCyHuggingFace
View on GitHub →
Multipurpose To-Do List Creator

Multipurpose To-Do List Creator

This project is a versatile Java-based GUI application designed to simplify daily organizational tasks. Built using JSwing and AWT events, it offers a user-friendly interface for creating and managing various types of lists.

JavaJSwingAWT EventsGUI Programming
View on GitHub →
Neural Network weight optimization using meta heuristic algorithms

Neural Network weight optimization using meta heuristic algorithms

This project optimizes an Artificial Neural Network's (ANN) weights for a classification problem using three meta-heuristic algorithms. It compares the performance of Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Genetic Algorithms (GA) to determine which nature-inspired method most effectively improves the ANN's accuracy and efficiency.

PythonTensorflowScikit-LearnPandasMatplotlibOOPS
View on GitHub →

Get In Touch

I'm always excited to collaborate on impactful AI and data science projects. Let's create smarter, data-driven solutions together! My inbox is always open — feel free to reach out.