Final-year CS student focused on Rust-based backend systems, ML infrastructure, and high-performance agentless monitoring.
- Exploring: Rust, zed, SurrealDB, vector search and improvements
- Building: infra monitoring backends, RAG/LLM orchestration engines, distributed data pipelines
- Mission: Code production-grade systems that blend ML intelligence with systems-level reliability
| Repo | Description | Stars |
|---|---|---|
| Axum-Backend | Health Monitoring and metrics tool for AI insights and Dashboards | ⭐ 0 |
| Multi-cycle-RAG | RAG with web search, self correction, gap detection and query loops | ⭐ 7 |
| MIST | MCP server empowering AI assistants with real-world capabilities: Gmail, Calendar, Tasks, Git integration, and note management. Bridges AI assistants to external services through standardized protocol with secure authentication. | ⭐ 12 |
| Plottypus | Plottypus is a Rust-based GUI app for real-time serial data plotting. It lets users select serial ports, set baud rates, start/stop data collection, and view live charts. Features include adjustable plot window length and a help section. Easy to install and use for serial data analysis. | ⭐ 1 |
| Yoink | Simple proof of concept URL Shortener using Rust-lang | ⭐ 0 |
| Binary-Classifier-CNN | A Convolutional Neural Network (CNN) implementation using PyTorch and TensorFlow/Keras to classify images of cats and dogs. This project includes training scripts, model architectures, and instructions for easy setup and usage. | ⭐ 1 |
I'm always open to collaborating on systems, infra, and ML-heavy projects. Feel free to reach out!
