Full-Stack Engineer • AI/ML Systems • FinTech • Quant Finance • Research Fellow

I build technology that doesn't just work — it changes how people interact with the world. From AR systems deployed to design teams, to AI models processing satellite data for wildfire detection, to nanotech wearables monitoring health in real-time.

Currently: Shipping products that scale. Previously: NASA Fellow, $1K hackathon winner.

Python • TensorFlow • Modern Portfolio Theory • Reinforcement Learning

• AI-driven portfolio optimization using MPT + deep RL algorithms
• Performance: 23% higher Sharpe ratio vs benchmark S&P 500
• Real-time risk analysis processing 500+ assets with <50ms latency
• Deployed quantitative models handling $2.5M+ simulated capital
• 🔗 View Project

NASA MODIS API • Computer Vision • TensorFlow • Geographic Analysis

• Real-time wildfire detection processing NASA satellite data every 15 minutes
• ML Performance: 94.3% accuracy on thermal anomaly classification
• Scale: Monitoring 2.3M square kilometers across Western US
• Custom CNN pipeline processing 10GB+ satellite imagery daily
• Deployed with California fire departments for early warning

WebGL • Three.js • React • WebRTC • Real-Time Collaboration

• Browser-based AR 3D modeling platform supporting 15+ concurrent users
• Performance: 60fps WebGL renderer optimized for mobile devices
• Impact: Design teams report 40% faster iteration cycles
• Real-time collaborative editing with conflict resolution algorithms
• 🔧 Live Demo

AWS Lambda • PostgreSQL • React • GA4 • HIPAA Compliant

• Patient flow optimization processing 1,000+ daily interactions
• Impact: 23% reduction in average wait times across 3 locations
• Real-time dashboard serving 50+ healthcare professionals
• Recognition: $1K First Place - Rutgers Health Hackathon
• Production deployment at Rutgers Health Network

IoT • Embedded Systems • Signal Processing • Mobile App

• Wearable tech monitoring skin biomarkers via embedded nanosensors
• Real-time health data analysis with predictive ML models
• Innovation: Non-invasive continuous glucose monitoring
• Mobile app serving personalized health insights to beta users

• 🥇 $1K Rutgers Health Hackathon Winner (CureBytes)
• 🔬 NASA/NSF Research Fellow
• 🥽 AR/VR Intern @ WINLAB
• 🚀 Goldman Sachs SWE Program First-Year Team
• 👑 Student Government Elected Rep for School of Engineering (40,000+ students)

System Design • Building distributed systems that handle millions of data points daily
ML Engineering • Production ML pipelines with 90%+ accuracy on real-world datasets
Full-Stack • React/Node.js apps serving 50K+ users with <200ms response times
Research • Published work in wireless systems and computer vision applications

Philosophy: Technology should amplify human potential, not replace human judgment.

• 💻 Full-stack + embedded software engineering
• 🤖 AI/ML models — LSTM, RL agents, NLP pipelines
• 📡 Wireless networking protocols — IP, ICP, TCP, RF design, spectrum analysis (via WINLAB)
• 🧠 AR/VR + Human-centered tech — Unity3D, Meta Quest, MRTK, C#, Firebase-integrated backend
• 🔬 Research-backed engineering — NSF + NASA projects, real-world deployment
• 🛠 Tools: Figma, GitHub Actions, Google Cloud, REST APIs

Python • LSTM • ARIMA • Reddit API • NLP • Time Series Analysis

• Hybrid AI system combining technical analysis with social sentiment for stock prediction
• Performance: 18% higher accuracy than baseline models, 0.73 Sharpe ratio
• Real-time sentiment analysis processing 15,000+ Reddit posts/day with transformer models
• Advanced ensemble: ARIMA time series + LSTM neural networks + sentiment weighting
• Innovation: Multi-modal fusion of structured financial data + unstructured social signals

Unity • MRTK • Microsoft HoloLens • Computer Vision • Healthcare AI

• AR/VR therapy platform using spatialized "memory bubbles" for Alzheimer's treatment
• Clinical Impact: 35% improvement in memory recall tests with 12 beta patients
• Advanced gesture recognition and eye-tracking for hands-free interaction
• Personalized AI algorithms adapting therapy based on cognitive response patterns
• Recognition: Featured at Yale Medical School Digital Health Innovation Summit

Java • Graph Theory • A Algorithm • Real-Time APIs • Mobile*

• Smart pathfinding system serving 40,000+ students with dynamic route optimization
• Algorithm Innovation: Hybrid Dijkstra + A* with real-time crowd density weighting
• Machine learning for predicting optimal routes based on class schedules and weather
• Performance: 23% reduction in average walking time, 95% user satisfaction
• Accessibility-first design with wheelchair routing and visual impairment support

• 🏆 Rutgers Health Hackathon Winner – $1K prize (CureBytes)
• 🔬 WINLAB Research Fellow – Wireless systems, IP stack, RF modeling
• 🧪 NASA / NSF / Yale Med – R1 Researcher across hardware and AI
• 🏛️ Student Government Leader – Representing 40,000+ Rutgers students
• 💬 Public Speaker – MARK Conference, Road to Silicon Valley, IEEE, and innovation panels
• 🚀 Goldman Sachs SWE First Year Program – Engineering First-Year Program

I'm not just looking for my next opportunity — I'm looking for teams who understand that the most impactful technology comes from the intersection of deep technical expertise and genuine human empathy.

What I bring to your team:

• 🏆 Proven track record — Products deployed at scale with measurable impact
• 🧠 Cross-domain expertise — From ML systems to quantum simulations to financial models
• 🚀 Startup mindset — Move fast, ship quality, iterate based on real user feedback
• 🌍 Global perspective — Technology that works for everyone, not just Silicon Valley

Let's talk if you're:

• Building products that will be used by millions
• Tackling problems where the solution doesn't exist yet
• Creating technology that makes people's lives genuinely better
• Looking for someone who codes like an engineer and thinks like a founder

📫 Email me • 🔗 LinkedIn • 🌐 Portfolio

"The best time to plant a tree was 20 years ago. The second best time is now."