🔭 I’m currently working on
Projects across AI/ML, Rust, and Full-Stack Development. This includes building end-to-end products, experimenting with ML models in real-world use cases, and exploring systems-level development with Rust for performance-critical and blockchain-related applications.
🤝 I’m looking to collaborate on
Early-stage startup ideas, research-driven projects, and meaningful open-source contributions, especially where AI, systems engineering, or scalable product thinking intersect.
💡 I’m looking for help with
Guidance on growing faster as an engineer, identifying the right depth vs breadth to focus on, and learning how to turn strong technical projects into impactful products or research.
🌱 I’m currently learning
AI/ML more deeply (model internals, workflows, and applications) and Rust, particularly in the context of blockchain and low-level systems.
💬 Ask me about
The projects I’ve built, how I approach hackathons and product development, or how I combine engineering with problem-first thinking.
⚡ Fun fact
I randomly built a hackathon project that later turned out to be patent-worthy—completely unplanned, driven by curiosity.
Popular repositories Loading
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llama-stack
llama-stack PublicForked from llamastack/llama-stack
Composable building blocks to build Llama Apps
Python
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introtodeeplearningalexamini
introtodeeplearningalexamini PublicForked from MITDeepLearning/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Jupyter Notebook
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Data-Visualizer
Data-Visualizer PublicML model for ML freaks which visualizes the dataset completely and gives all the data needed
TypeScript
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