I'm a Software & ML Engineer turning sensor, geospatial, and text data into real-time, cloud-native products. I hold an M.S. in Computational Data Science from UC Riverside and build production-grade software end-to-end.
- 🎓 M.S. Computational Data Science | University of California, Riverside
- 💻 Full-Stack Developer | 2+ Years Experience
- 🤖 AI/ML Engineer | Specializing in Computer Vision & NLP
- ☁️ Cloud Architecture | AWS, Docker, Kubernetes
- 📊 Data Science | Big Data Analytics & Geospatial Computing
- 🧠 Currently Learning | Agentic AI (LangGraph, LangChain) & developing survey-studio & policy-graph projects
Big-data geospatial platform delivering dynamic routing and urban-planning analytics for the LA 2028 Olympics.
- Tech Stack: Spark + PostGIS, Leaflet.js maps, Docker microservices
- Impact: Real-time routing optimization for Olympic infrastructure
Containerized application that automates container loading, unloading, and weight-balancing for freight ships.
- Tech Stack: Python, Streamlit, Docker, MongoDB Atlas
- Features: Real-time 2D visualization, automated weight distribution
Advanced computer vision model with 12% accuracy improvement over baseline.
- Tech Stack: PyTorch, Transformers, OpenCV
- Impact: 12% accuracy lift, validated across 5 datasets
Intelligent chatbot achieving BLEU 25.67, 35% higher than LSTM baseline.
- Tech Stack: Transformers, FastAPI, Cloud optimization
- Impact: 35% performance improvement, 15% cost reduction
- 🎓 3.67/4.0 GPA in M.S. Computational Data Science
- 📚 1 Peer-reviewed Publication in International Journal
- 🏢 500+ Developers served with Mock API service
- ⚡ 99.99% Uptime achieved in production systems
- 🚀 35% Performance Improvement in contract processing automation
- Enhanced CI/CD with GitHub Actions, reducing PR cycle time from 3 days to 36 hours
- Developed role-based safeguards, reducing 4xx errors from 7% to 4%
- Improved form submissions by 25% through UI refinements
- Built Mock API service for 500+ developers, cutting integration test time by ~15%
- Automated contract intake, reducing processing time by 35%
- Hardened OAuth2/OIDC security, resolving 5 critical vulnerabilities
- M.S. Computational Data Science | University of California, Riverside (GPA: 3.67/4)
- B.Tech Computer Engineering | Vishwakarma Institute of Information Technology (GPA: 9.62/10)
- Sensor Fusion Nanodegree | Udacity (2024) - Advanced sensor-fusion techniques for autonomous systems
- Microservices with Java Spring Boot and Spring Cloud | Udemy (2022) - Comprehensive microservices architecture
- Dell Artificial Intelligence Foundations | Dell Technologies (2022) - Foundational AI concepts and ML principles
- Fundamentals of Deep Learning | NVIDIA (2021) - Neural-network fundamentals & GPU acceleration
- CCNAv7: Introduction to Networks | Cisco (2021) - Networking fundamentals & Cisco technologies
- "A Comprehensive Survey of Multiple Object Tracking Techniques" | International Journal of Intelligent Systems and Applications in Engineering (2024) - Read Paper
- Data Scientist Resume - ML/AI focused
- Software Developer Resume - Full-stack focused
- Software Engineer Resume - Backend/Platform focused
- 📧 Email: gambhir.aditya19@gmail.com
- 🌐 Portfolio: aditya-gambhir-portfolio.vercel.app
- 💼 LinkedIn: Aditya Gambhir
- 📍 Location: Riverside, CA
