Mosam Biswas, AI and full-stack developer in Navi Mumbai, India
An AI & data science engineer building machine-learning systems, web platforms and Android apps, with IEEE-published research to back them.
Things I've built
2022 / 2026- 01 Sim Sim Voice-driven AI desktop assistant
- 02 Rail Mitra Railway platform & track optimizer
- 03 MindFirst Mental-health screening platform
- 04 PixelForge Medical imaging with CNNs & GANs
- 05 IntelliStatement LLM bank-statement analyzer
- 06 Committee Connect Task & attendance tracking app
- 07 PixelShift In-browser batch image converter
- 08 Flex Card Hardware-spec card generator
- 09 To-Do Full-stack task boards with auth
+ more experiments on GitHub ↗
Developer, researcher,
photographer
I'm a B.Tech AI & Data Science graduate from RAIT, D.Y. Patil University, and I spent those years turning coursework into shipped software: ML pipelines, Android apps, web tools and one peer-reviewed paper.
I care about the whole loop, from a model's confusion matrix to the button a person actually presses. The messy middle, data cleaning, edge cases, the last 10 percent, is where most of the real work lives.
- Education
- B.Tech AI & DS · RAIT, D.Y. Patil University '26
- Previously
- Technical Head · Photocircle RAIT, 2022 / 2025
- Community
- Active GDG member · 25+ codelabs completed
- Elsewhere
- Certificates · Google Dev Profile · Résumé
- 20+Projects shipped
- 25+Google codelabs
- 01IEEE publication
- 03yrsBehind the lens
ML & Data
Python · PyTorch · scikit-learn · XGBoost · SHAP · Pandas
Web & Mobile
JavaScript · TypeScript · Next.js · Node.js · Flask · FastAPI · Android (Java)
Tools
Git & GitHub · MySQL · Streamlit · Figma · Photoshop
Published at IEEE
“Comparative Analysis of Psychometric Data for Assessing Mental Health Testing Needs Using Machine Learning Models”
Can supervised learning decide who should proceed to a full mental-health evaluation? We benchmarked Logistic Regression, Random Forest, SVM, XGBoost and LightGBM on psychometric responses, with cross-validation and SHAP interpretability. Logistic Regression came out near-perfect and transparent enough to be clinically meaningful for pre-screening.
SheiChobi
Bengali for “that picture”
Street, portraits, wildlife, concerts. The other half of how I look at the world.
Enter the gallery ↗