Full Stack Engineer | AI/ML | Building intelligent, production-ready applications
🎓 MS in Computer Science @ Pace University (May 2025)
☁️ AWS Certified Developer Associate
🏆 NY Climate Exchange Hackathon - 3rd Place
🌍 Open to opportunities in the EU (visa sponsorship welcomed)
🔍 Errloom - Production Debugging Practice Platform
TypeScript • React • Browser-Based • Interactive Learning
15+ interactive scenarios across 3 difficulty levels (Novice, Intermediate, Expert) Recreated actual production incidents with real logs, metrics, and incident context Terminal-inspired UI with authentic debugging workflows and tools 100% browser-based - no setup required, instant learning Built comprehensive incident library from public postmortems and RCA documents
Key Features:
Step-by-step guided debugging with hints and validation Learn root cause analysis methodologies used by top tech companies Practice with realistic distributed systems failures Compare your solutions with actual incident resolutions
Impact: Addresses the gap in production debugging education - junior engineers can now safely fail and learn from real outages without production access. Perfect for interview prep, onboarding, and continuous learning. 🌐 Live Demo: errloom.dev
🏎️ RacingLineAI - F1 Analytics & ML Platform
Python • TensorFlow • LSTM • Streamlit • FastF1 API
Comprehensive Formula 1 analytics platform with AI-powered predictive capabilities for race strategy optimization.
- Processed 78,000+ laps of F1 telemetry data (2018-2025) using FastF1 API
- Built LSTM neural networks for tyre degradation forecasting and race strategy analysis
- Developed interactive Streamlit dashboard with real-time visualizations
- Implemented predictive models achieving 85%+ accuracy for pit stop timing optimization
Impact: Production-grade ML system demonstrating end-to-end data engineering, deep learning, and sports analytics expertise.
🧠 Synaptica-The-Cognitive-Graph-AI - Cognitive Graph AI
Python • PyTorch Geometric • Neo4j • NLP • Graph Neural Networks
Advanced AI system that models and visualizes the structure of human reasoning by mapping ideas, emotions, and causal relationships into a dynamic cognitive graph.
- Built Graph Neural Networks using PyTorch Geometric for reasoning pattern detection
- Implemented NLP pipeline (spaCy, Transformers) for entity extraction and emotion analysis
- Designed Neo4j graph database to store and query cognitive relationships
- Created interactive visualization with D3.js for thought evolution mapping
Key Features:
- Contradiction detection in reasoning chains
- Emotional correlation analysis with decision outcomes
- Missing perspective identification for team decisions
- Temporal tracking of concept evolution
Impact: Research-level work bridging AI, cognitive science, and visualization - goes beyond simple text analysis to understand how people think.
🏔️ TrailQuest - Gamified Outdoor Adventure Platform
React Native • TypeScript • Node.js • AI Recommendations • Mapbox
Full-featured mobile app that transforms hiking into engaging adventures through gamification, solving the problem that 50% of Americans spend <5 hours outdoors weekly.
Technical Achievements:
- Built AI-powered recommendation engine using collaborative and content-based filtering
- Implemented real-time GPS tracking with battery optimization (12% usage for 2-hour hike)
- Designed offline-first architecture with MBTiles for no-internet functionality
- Created gamification system with quests, badges, collectibles, and leaderboards
Tech Stack: React Native, Express.js, PostgreSQL, Redis, TensorFlow Lite, Mapbox, AWS
Impact: Demonstrates full-stack mobile development, real-time systems, and psychology-driven engagement mechanics.
TypeScript • OpenAI API • React • Node.js
CRM platform augmented with multi-agent AI for intelligent customer management.
- Multi-agent AI system for automated engagement workflows
- NLP-powered sentiment analysis and intent detection
- Predictive analytics for customer lifecycle management
- 60% reduction in response time through automation
SwiftUI • IoT Integration • Real-time Data
Concept prototype for Arc Boats demonstrating remote monitoring capabilities for marine technology sector.
- Real-time sensor data visualization and boat diagnostics
- Remote control interface with safety protocols
- Built to showcase iOS development expertise and IoT integration skills
- Strategically timed with Arc Boats frontend developer application
React Native • Gamification • UX Research
Reimagined job search experience for Poozle exploring next-generation discovery patterns.
- Gamification mechanics to increase user engagement by 3x
- Advanced filtering algorithms and matching systems
- Modern mobile-first UI/UX implementation
Note: Concept prototypes - detailed demos available upon request
CustomThread - E-Commerce Platform
TypeScript • React • Node.js • Microservices
Full-featured e-commerce platform with scalable microservice architecture.
- Handles 1000+ concurrent users with load balancing
- Real-time inventory management across distributed services
- Secure payment processing with Stripe integration
- 95+ Lighthouse performance scores
TypeScript • Machine Learning • React
Intelligent recommendation system combining collaborative and content-based filtering.
- Hybrid recommendation algorithm with real-time personalization
- Performance-optimized for 100k+ items dataset
- Interactive preference tuning interface
- A/B tested ranking strategies
Python • Scikit-learn • Pandas • Data Visualization
ML project applying clustering techniques for customer behavioral analysis.
- K-means and hierarchical clustering implementation
- Feature engineering with PCA dimensionality reduction
- Actionable business insights from segmentation patterns
- Comprehensive data visualization with matplotlib/seaborn
JobLinkAi - AI Job Matching Platform
TypeScript • React • Node.js • Vector Search • NLP
Intelligent job matching platform that uses AI to connect candidates with opportunities through semantic matching and skill analysis.
AI/ML Features:
- Resume parsing with 94% accuracy using spaCy + custom NER models
- Vector search via Pinecone for semantic job-candidate matching
- Multi-factor scoring algorithm (skills, experience, culture, location)
- Skill gap analysis and career path recommendations
Software Engineer @ We Rebel LLC
Building microservice architectures with React, Node.js, and AWS. Led development of key features serving 10k+ users.
Associate Software Engineer @ iQuadra Information Services
Developed cross-platform applications and API integrations. Improved system performance by 40%.
3rd Place @ NY Climate Exchange Hackathon
Built climate-tech solution addressing sustainable energy challenges in urban environments.
Specialized
- Graph AI: PyTorch Geometric, NetworkX, Neo4j
- Vector Search: Pinecone, pgvector
- NLP: spaCy, Hugging Face Transformers, OpenAI API
- Maps & Location: Mapbox, React Native Geolocation
- Real-time: Socket.io, WebSockets
- 🔭 Completed MS in Computer Science at Pace University
- 🌱 Exploring advanced system design, distributed systems, and graph neural networks
- 👯 Actively seeking full-time opportunities (May 2025 start)
- 🌍 Particularly interested in EU positions with visa sponsorship
- ⚡ Building F1 analytics tools, cognitive AI systems, and mobile apps
Not Just a Developer - A Builder:
- I don't just implement features; I identify real problems and build complete solutions
- Each project solves a genuine user need with production-ready architecture
- Strong focus on both technical excellence AND user experience
AI/ML Integration Expertise:
- Experience integrating ML models (LSTM, GNNs, NLP) into production applications
- Built recommendation systems, cognitive graphs, and predictive analytics platforms
- Comfortable working across the entire ML pipeline: data → training → deployment
Full-Stack + Mobile:
- 3+ years building production applications across web, mobile, and backend
- Strong TypeScript/React ecosystem expertise
- iOS development with SwiftUI for native mobile experiences
Systems Thinking:
- Designed microservice architectures, real-time systems, and offline-first applications
- Experience with graph databases, vector search, and distributed caching
- Performance optimization and scalability considerations from day one
- 🥉 3rd Place - NY Climate Exchange Hackathon 2024
- ☁️ AWS Certified Developer - Associate (2025)
- 📚 Teaching Assistant - Data Structures & Algorithms @ Pace University
- 🎓 GPA: 3.6/4.0 - MS Computer Science

