AI Systems & Software Engineering
Complete Voice-Controlled Life Automation System - 12,000+ lines of production Python code integrating enterprise AI, AR wearables, IoT hub, and smart home devices into a unified platform.
I build AI systems that integrate voice intelligence, AR wearables, and IoT orchestration into unified platforms. My work demonstrates scalable engineering with enterprise architecture, GPU optimization, and security-first design. Every project pushes toward seamless human-AI interaction through voice, vision, and automation.
Android application that performs real-time audio transcription and analysis using live microphone input, with API-driven speech-to-text conversion and data insights.
Desktop app that captures and processes live audio, stores metadata, and runs automated analysis. Includes a chat feature that predicts responses based on recent conversation context.
Python ETL pipeline that parses drive-test logs, calculates KPIs with Pandas, and outputs interactive PowerBI datasets for rapid insights.
Vanilla JS UI served by a minimal Node.js proxy. Protects API key in memory, streams responses, and parses markdown to HTML.
This responsive portfolio built with vanilla HTML/CSS/JS, featuring tsParticles animations, mobile-first design, and Mermaid architecture diagrams. Deployed as a static site with optimized performance.
Analytics dashboard for monitoring NeMo AI system metrics, user activity, and API performance. Built with Next.js, React, and Chart.js for real-time data visualization.