I am a developer dedicated to building interpretable, efficient, and community-driven software. My primary focus is on the intersection of Machine Learning and Systems Architecture. I spend a significant portion of my time contributing to open-source ecosystems, helping to optimize performance suites and refine AI infrastructure.
- Current Focus: Contributing to open-source repos in LLM and Computer Vision space.
- Collaboration: I love working on projects involving Model Interpretability (XAI), RAG pipelines, and distributed systems.
- Education: Currently a Student.
- Machine Learning: Computer Vision, Reinforcement Learning, and Multimodal Representation.
- Natural Language Processing: Large Language Models, Semantic Entailment, RAG Architectures, and Transformer-based optimization.
- Systems & Architecture: Asynchronous API Design, Real-time Stream Processing, and Cloud Infrastructure management.
AI & Research Stack
Systems & Development

