Projects
A mix of production ML systems, research prototypes, and open-source contributions.
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Full-stack AI web app @ Delta Cubes
Built for Delta Cubes during my 2024–2025 AI/ML engineer role, this AI-powered recruitment platform helps recruiters screen hundreds of resumes in minutes, auto-match candidates to open roles with explainable LLM scoring, and shortlist top-fit talent from a single dashboard — cutting manual screening time by ~70% while keeping decisions transparent.
LLM agents · CrewAI · OpenAI
An AI multi-agent system for automated web research, data retrieval and report generation. Built agent-collaboration workflows using LLM APIs and a tool-calling architecture; deployed on Windows and Linux.
Deep learning · CNN + LSTM
A hybrid CNN + LSTM model for real-time emotion detection from voice. Extracted MFCC audio features from voice datasets and tuned the model for strong classification performance across emotion categories.
Multi-agent video insights
A tool that scrapes YouTube channels and uses multi-agent AI to identify key topics and trends. Shipped as a Streamlit web app for interactive trend visualisation.
Applied ML · AICTE Virtual Internship
An ML model recommending optimal crops and fertilizers from soil and climate data. Applied supervised learning with Python and Scikit-learn, deployed via Streamlit.
Computer vision @ Infosys
A computer-vision facial recognition and recommendation system built with Python and OpenCV. Preprocessing plus deep-learning feature-extraction pipelines exposed via REST APIs to a web UI.