I am a 2nd Year Computer Science Undergraduate with interest in System Design and AI, currently focused on building autonomous local agents and optimizing inference on edge devices.
- 🔭 Currently working on: Ambient-AI, a zero-interaction agent designed to be truly 'ambient'—proactively executing tasks without waiting for user commands.
🚀 Core Stack
- Python: Advanced usage (AsyncIO, Type Hinting, Decorators).
- AI Engineering: RAG Pipelines, Agentic Workflows, MCP (Model Context Protocol).
- ML Libraries: PyTorch, Keras, Scikit-learn.
🤖 Automation
- Automation: Selenium (Web Automation), PyAutoGUI (Desktop Control).
💻 Fundamentals
- Languages: C, C++, Java, Python.
- Databases: SQLite, SQL.
- Tools: Git, Linux/WSL, CMake.
| Project | Description | Tech Stack |
|---|---|---|
| Ambient AI | 🌌 Fully local, multimodal agent that automates tasks without user interaction. | Python FastAPI MCP |
| OpenVINO Contributions | 🔧 Merged PRs optimizing Python bindings and core inference logic. | C++ Python |
| Keras Contributions | 🧠 Enhancements to OpenVINO backend operations and layer compatibility. | Python Keras |
Email: Kartikeya Srivastava