Aspiring quantum software engineer and machine learning enthusiast, passionate about building next-gen solutions at the crossroads of AI, quantum, and SWE.
- 🎓 Education: B.S. in Computer Science at the University of Maryland, with a concentration in Machine Learning and minors in Quantum Science & Engineering and Statistics.
- 🔬 Research: Currently conducting Quantum Machine Learning research, using Pennylane and IonQ hardware to model quantum phenomena.
- 🔭 Interests: Exploring the frontiers where quantum computing, AI, and high-performance computing intersect to solve complex problems.
- 📫 Contact: Feel free to reach out via jaimanmunshi@gmail.com.
| Category | Technologies |
|---|---|
| Languages | Python Java C TypeScript HTML/CSS |
| Frameworks | React Next.js Flask SvelteKit Vitest |
| AI & Quantum | PyTorch TensorFlow Scikit-learn PennyLane Qiskit OpenCV |
| Data & Libraries | Pandas NumPy Matplotlib Neo4j Qdrant Supabase |
| Tools & Platforms | Git Jupyter Notebook HPC AWS IonQ Jira |
| Project | Description | Technologies Used |
|---|---|---|
| Sen2Fire Wildfire Detection jaimanm/wildfire-detection |
A UNet-based segmentation model to detect wildfires from satellite imagery, accelerated on HPC. Currently integrating quantum circuits to enhance model complexity. | PyTorch PennyLane HPC Bash |
| Trace: Parkinson's Monitoring devpost |
A health-tech platform for remote patient monitoring. Trained an XGBoost model on multimodal data to achieve 91% accuracy in classifying Parkinson's motor skill metrics. | React Flask Supabase OpenCV XGBoost |
| Captcha Plus (Hackathon Winner) |
A novel authentication system using real-time webcam hand gestures, replacing traditional CAPTCHA with an interactive and accessible user verification method. | OpenCV Mediapipe Flask NumPy |
- Quantum Computing Research Intern @ National Quantum Laboratory (Jul 2025 – Aug 2025)
- Backend Engineer @ General Dynamics IT (Feb 2025 – May 2025)
- Software Engineering Intern @ Munch Industries (Jun 2023 – Jan 2025)