Portfolio

This assignment, specifically the BE-04 milestone, involved building a robust backend service using Python. The project demonstrates containerization best practices, ensuring environment parity from development to production. It handles complex data processing requirements efficiently while maintaining clean code architecture and scalable deployment patterns.

This project simplifies the creation of engaging social media carousels. It converts text-based inputs into visually striking 'handwritten' style slides. It uses advanced canvas manipulation and web-based rendering to ensure high-quality output that looks like an authentic whiteboard presentation, tailored for high engagement on platforms like LinkedIn and Instagram.

A sophisticated agentic AI pipeline designed to streamline recruitment. It parses raw CV data, compares it against complex job descriptions, and provides detailed compatibility scoring. Built with modern ML principles, it goes beyond keyword matching to interpret context and intent, significantly reducing time spent on initial candidate screening.

An innovative media automation tool that processes technical screencasts, extracting key concepts and transforming them into readable, podcast-style transcripts. By leveraging audio and visual streams, the system automatically creates show notes and summaries, bridging the gap between long-form technical video and accessible, written content.

Lyric Lens provides a unique interface for exploring the hidden themes and metaphors within music. It uses cutting-edge LLMs to perform sentiment and thematic analysis on song lyrics, offering users a rich, interactive interpretation of their favorite tracks. It represents an emergent approach to cultural and artistic analysis through digital tools.