~/Full-Stack Developer & Undergraduate Researcher

RANAK GHOSH

Rome, Italy

Im an Full Stack Developer & Undergraduate Researcher . Exploring the intersection of Cloud Computing, NLP, and Machine Learning. Affiliation: University Of Rome Tor Vergata

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My primary passion lies in computational research —specifically how we can democratize Machine Learning (as seen in CloudClimateML) and ensure AI ethics (as seen in my Bias-Aware Feedback research). I build tools not just to solve problems, but to understand the underlying mechanics of the solutions.


Work--


Featured Research & Applied ML

CloudClimateML — Cloud-Deployed Prediction

Python, Flask, AWS (Cloud deployment).

Applied Machine Learning / Cloud Systems Research

Bias-Aware Automated Feedback System

Natural Language Processing (NLP) / Educational Technology

To build an automated writing feedback generator that detects and mitigates linguistic and demographic biases.

Rainfall Prediction Classifier

MLOps & Production AI

Python, FastAPI, Docker, Scikit-Learn. Full-stack machine learning pipeline featuring automated data preprocessing, modular model training, and a containerized REST API for real-time weather forecasting.

NeuroFlow.js

Deep Learning Framework / JavaScript

A fully modular machine-learning suite built on TensorFlow.js, designed to demonstrate the internal architecture of neural networks.

Algorithmic Foundations


Projects

Voice Assistant

Python

AI-powered system designed to understand and respond to voice commands.

Rainfall Prediction Classifier (End-to-End Pipeline)

Full ML lifecycle management.

Data preprocessing ->rightarrow$ Model Training ->rightarrow$ Dockerized Deployment ->rightarrow$ FastAPI Service.

Movie Explorer Backend

Backend Architecture & TypeScript.

Environment management, CORS-enabled API, and strict typing for scalable development.

PasswordManager.java

Cybersecurity & Cryptography

Implements PBKDF2WithHmacSHA256 for key derivation and a secure vault structure in a single-file executable.


All Projects