About Me

I am a final- year AI & Data Science undergraduate passionate about building developer tools for the ML ecosystem. My work spans MLOps, Data Engineering and Model Optimization, with contributions to projects across the Hugging Face, PyTorch and Optuna ecosystems.

I enjoy solving engineering problems that improve developer experience, from integrating machine learning frameworks and orchestrating data pipelines to optimizing model deployment and contributing production-ready features to widely used open-source projects.

Current Focus

My current work focuses on:

• Building open-source integrations for modern ML tooling
• Model optimization and efficient inference
• Dataset engineering and orchestration
• AI infrastructure and developer tooling
• Production ML workflows

Open Source

I actively contribute to the open-source AI ecosystem through new libraries, documentation, integrations, and developer tooling. My projects have been are designed to make machine learning workflows more reproducible, observable and accessible.

Research & Technical Interests

My interests include:

• Machine Learning Systems
• MLOps
• Data Engineering
• Large Language Models (LLMs)
• Model Compression & Quantization
• Distributed Computing
• Open Source Software Engineering
• AI Infrastructure

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“I believe the best way to learn anything is to build it in the open.”