ML Engineer | Full-Stack AI Developer | Open-Source Builder
I build production-grade AI systems. Focused on voice AI, LLM security, and end-to-end AI applications.
Production-Grade Voice Activity Detection
- 93% accuracy on real-world noisy audio
- Real-time streaming inference (<50ms latency)
- Noise-robust (background chatter, wind, AC hum)
- 3-class detection: Speech, Noise, Silence
- Fully explainable model architecture
- Benchmarked on 5+ datasets
- Open-source, MIT licensed
AI-Powered iOS Academic Assistant
An intelligent study companion built with SwiftUI and advanced AI architecture.
Tech Stack: SwiftUI | Claude API | Firebase | ChromaDB | RAG
Features:
- Socratic Tutor - AI-guided learning with adaptive questioning
- Exam Predictor - Analyze patterns and predict performance
- SemesterArc - GPA tracking and semester analytics
- DeepWorkView - Deep work session tracking and insights
- WeeklyBriefing Engine - Automated weekly summaries
Production-ready iOS app with real-time AI interactions and secure authentication.
Full-Stack AI Travel Planner
End-to-end travel planning application powered by Claude AI and built with modern web technologies.
Tech Stack: Next.js | TypeScript | NextAuth | Claude API | Vercel
Features:
- AI-powered itinerary generation
- Real-time travel recommendations
- Personalized trip planning
- Secure authentication with NextAuth
- Responsive design across devices
Demonstrates full-stack proficiency from backend API integration to production-grade frontend.
| Area | Details |
|---|---|
| Voice AI | Building production VAD systems, audio processing, real-time inference |
| LLM Security | Securing LLMs, RAG system architecture, prompt injection prevention |
| Full-Stack AI | End-to-end AI applications with modern frameworks (Next.js, SwiftUI) |
| Open-Source | Contributing to and building maintainable, well-documented projects |
Languages: Python, TypeScript, Swift, Java, SQL
AI/ML: PyTorch, TensorFlow, Hugging Face, Claude API, RAG Systems
Frontend: React, Next.js, SwiftUI, Tailwind CSS
Backend: Python, Node.js, Firebase, REST APIs
Data & DevOps: Azure Databricks, SQL, Git, GitHub
Tools: VSCode, Xcode, Jupyter, Docker
- Cybersecurity Sophomore @ Purdue University
- ML & Full-Stack AI focused developer
- Published Research on AI Cancer Diagnosis
- Production Experience at AI startups and tech companies
- 🐦 Twitter/X - Shipping projects in public, voice AI deep dives
- 💼 LinkedIn - Professional background
- Collaborations on open-source ML projects
- Discussions on LLM security and RAG systems
- Speaking about building AI products
- Connecting with builders and engineers
Total Repositories: 15+
Languages: 6+ (Python, TypeScript, Swift, Java, SQL, More)
Open-Source Projects: Multiple
Active Development: Ongoing
Recently shipped:
- NOVA-VAD - Production voice activity detection (93% accuracy)
- Multiple full-stack AI applications
- Contributions to open-source ML ecosystem
Currently building:
- Advanced voice AI systems
- LLM security research
- Full-stack AI products
I believe in:
- Building in public - shipping early and often
- Production-first - code that works in the real world
- Open-source - contributing back to the community
- Technical depth - understanding systems deeply
- End-to-end ownership - full-stack responsibility
Last updated: June 2026 | Always building 🚀