Passionate about building intelligent systems and scalable solutions. Specializing in Machine Learning, Deep Learning, and Full-Stack Development.
Download my comprehensive resume to learn more about my experience in AI/ML engineering, software development, and the innovative projects I've worked on.
AI tool that parses resumes, compares them to job descriptions, and generates targeted, actionable feedback. It extracts entities/skills, measures match scores, and suggests keyword improvements with a simple UI for uploading files and reviewing reports. Results include a section‑by‑section breakdown and tailored bullet points recruiters typically scan for.
A conversational agent that understands spoken room descriptions and recommends layouts, palettes, and furniture ideas. Supports multi‑turn dialogue, ASR/TTS, and context retention for hands‑free planning. Provides a modular pipeline for easy swap‑in of models and endpoints, plus adjustable style presets for quick iterations.
Aggregates news, pricing, and competitor data, then applies ML to detect trends and opportunities. Ships with data pipelines, feature extraction, clustering/time‑series analysis, and a lightweight dashboard for insight discovery. Designed for repeatable runs and easy source extension.
Automates job applications with filters for keywords, locations, and experience. Includes safe‑guards, headless mode, retry logic, and structured logs for traceability. Supports session handling and configurable templates for cover letters/resumes.
CLI utility that surfaces complexity metrics, dead code, dependency graphs, and style issues. Built for CI integration and extensible via a rules plug‑in system. Emits HTML/JSON reports for quick reviews and highlights the riskiest files to prioritize during refactors.
Structured Python exercises covering algorithms, data structures, and clean coding. Emphasis on readable solutions, stepwise improvements, and testing discipline. Includes problem statements and sample datasets, with notes explaining trade‑offs and alternative approaches.
Vision‑to‑commerce concept: upload or capture an image and explore matching products. Focus on modern UI, responsive layout, and accessible interactions. Includes prototype stubs for image similarity and product mapping.
Examples and utilities for pagination, structured extraction, and export to CSV/JSON. Demonstrates requests/BeautifulSoup for static sites and Selenium for dynamic pages. Adds retry/backoff, robots handling, and proxy support, with ready‑to‑run recipes for common patterns.
This site’s source: clean, responsive UI with particle background, mobile‑specific optimizations, and accessible components. Includes Projects, Experience timeline, and a contact form. Custom canvas particles with DPR scaling and performance tweaks.
Engineered command-line interface scaffolding using Typer for managing Model Context Protocol servers, streamlining deployment and reducing setup time by 30%.
Led data extraction projects utilizing advanced machine learning techniques, reducing manual entry time by 50% and improving accuracy by 30%.
Pioneered development of NUDGE platform using C++, JSON, and OOP techniques, enhancing product efficiency by 40% and reducing error rates by 25%.
I'm always interested in new opportunities and collaborations. Let's discuss how we can work together!