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Adhithyan M

@adithyamm

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I build AI models and full-stack applications that turn data into practical, user-focused products.

India

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At ISM University, I built a house-price prediction model that reduced RMSE by approximately 44% against a Linear Regression baseline using feature engineering and tuned XGBoost.

At MindMatrix.io, I delivered 13+ Android app features for blood-donor management, integrating Firebase Authentication, Firestore, Kotlin, and Jetpack Compose for persistent real-time flows.

I've also built React and TypeScript sustainability products, including EcoVate, an SDG Inspirathon-winning carbon-tracking app, and a responsive environmental analytics dashboard for Build2gether AI.

Experience

Work history, roles, and key accomplishments

Generative AI & Android App Development Intern

MindMatrix.io

Feb 2026 - May 2026 (3 months)

Developed a blood donor management app, delivering 13+ Android features/screens using Kotlin and Jetpack Compose. Integrated Firebase Authentication and Firestore for persistent cloud sync and debugged modules using Espresso and JUnit.

Kotlin Jetpack Compose Firebase Firestore Espresso Junit Android Studio Git

AI Model Development Intern

ISM University

Jan 2026 - Mar 2026 (2 months)

Built a house price prediction model, reducing RMSE by 44% versus a Linear Regression baseline using engineered features and a tuned XGBoost model. Conducted EDA and feature engineering across a 21,613-row dataset and built a reusable training/benchmarking pipeline.

Python XGBoost Linear Regression Random Forest Feature Engineering EDA scikit learn Jupyter Notebooks