I am a passionate Software Engineer specializing in AI Systems Infrastructure, Deep Learning Acceleration, and Modern Full-Stack Applications. My work spans low-level kernel benchmarking & custom sparse attention mechanisms to high-throughput web architectures and algorithmic design.
- ๐ฌ Currently Researching & Building: Microbenchmarking sparse attention backends (RSA-X) in PyTorch/Triton, hardware-aware latency/throughput profiling.
- โก Core Strengths: Custom Deep Learning Engines from Scratch, System Optimization (C++/PyTorch/Triton), RESTful Architectures, and Responsive Web Platforms.
- ๐ฏ Career Goal: Engineering high-efficiency AI model backends & scalable full-stack platforms that turn complex research into production-grade software.
- ๐ฌ Ask me about: Transformer architectures, attention density profiling, NumPy autograd engines, C++ concurrency, React/Next.js full-stack development.
| Domain | Technologies & Frameworks |
|---|---|
| Languages | Python C++ TypeScript JavaScript SQL HTML5 CSS3 Shell |
| AI / Machine Learning | PyTorch Triton CUDA NumPy Pandas Matplotlib Scikit-Learn Jupyter |
| Web & Backend | React Next.js Node.js Express.js Tailwind CSS REST APIs FastAPI |
| DevOps & Tools | Git GitHub Actions Docker Linux VS Code Vite Kaggle GPUs |
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Hardware-Aware Sparse Attention & Benchmarking Framework
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Fully Connected Deep Learning Engine & Optimizer Benchmarking
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AI-Powered Proprietary Trading Firm Platform
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Personalized Mental Wellness & Meditation Application
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I am always interested in discussing AI Systems, Machine Learning Infrastructure, Systems Programming, or Full-Stack Opportunities.



