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OSP06/README.md

Hey, I'm Om 👋

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)


🚀 Featured Projects

🔍 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

📱 Recent Prototype Work

Electric Boat Monitoring System (iOS)

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

Enhanced Mobile Job Discovery Platform

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


💻 Production Projects

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

💼 Experience Highlights

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.


🛠️ Tech Stack

Frontend
React TypeScript Next.js React Native SwiftUI Tailwind

Backend
Node.js Python FastAPI Express

Databases & Search
PostgreSQL MongoDB Redis Neo4j Pinecone

Cloud & DevOps
AWS Docker Kubernetes

AI/ML
TensorFlow PyTorch Scikit-learn

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

📊 GitHub Stats

Om's GitHub stats

Top Languages


🎯 Currently

  • 🔭 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

💡 What Sets Me Apart

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

📫 Let's Connect

LinkedIn Email Portfolio


🏆 Achievements

  • 🥉 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

💡 "Building applications that combine technical sophistication with genuine user value."

Profile Views

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  2. Synaptica-The-Cognitive-Graph-AI Synaptica-The-Cognitive-Graph-AI Public

    An AI system that moves beyond simple text analysis to model the evolution of human thought.

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  3. TrailQuest TrailQuest Public

    Real-time outdoor adventure tracking app with GPS mapping - TypeScript & React Native

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  4. Movie-Recommendation-Engine Movie-Recommendation-Engine Public

    Full-stack movie recommendation system with collaborative filtering - TypeScript, React, Node.js - 85% accuracy

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