I am a Computer Science researcher and developer specializing in Graph Neural Networks (GNNs) and Deep Learning optimization. I bridge the gap between academic innovation and production engineering, building and optimizing custom models from the ground up.
What I Deliver:
- Custom AI Models: Bespoke GNN, CNN, or Transformer architectures designed specifically for your data.
- Full-Stack Integration: Connecting high-performance AI backends to clean web apps using Flask, Django, or React.
- Performance Optimization: Tweaking algorithms to cut computation time and boost accuracy.
- End-to-End Pipelines: Handling everything from raw data cleanup (SVD/TF-IDF) to final REST API deployment.
- Clean Code: Professional, heavily commented source code built for long-term maintainability.
Why Work With Me?
- Research-Backed: I apply the latest academic techniques in DL and GNNs to solve complex practical problems.
- Efficiency Focused: Ive previously optimized models to reduce runtime by 60% and automated 40+ hours of manual labor.
- Deployment Ready: I take projects from the initial hypothesis to a fully deployed, scalable application.