"From Raw Data to Technical Mastery"
AI-Powered Exam Preparation & Passage Generation
A full-stack, open-source RAG exam prep engine for CLAT aspirants. Ingests past papers and current affairs into a Qdrant vector database to generate authentic passage-based question clusters across 5 exam sections with Groq and Cohere inference.
Production Machine Learning & Experiment Tracking Pipeline
Production machine learning architecture featuring automated experiment tracking, model registry governance, artifact versioning, and continuous containerized deployment pipelines using MLflow, DagsHub, and Docker.
AI-powered career recommendation platform analyzing education, experience, and certifications on a 20,000-row synthetic dataset with dynamic model evaluation.
Built using CatBoost regression to predict student exam scores based on study routines, habits, and sleep patterns.
Predicts personality types using NLP and Generative AI for personalized improvement suggestions and behavioral analysis.
Data Professional salary dashboards (2020-2023) using Power BI.
GitHub →Machine learning model for predicting house prices based on various features.
GitHub →