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Sagar2006/README.md

๐Ÿ‘พ Hi there, I'm Sagar Kumar ๐Ÿ‘‹

โšก AI Systems & Full-Stack Engineer | Deep Learning Infrastructure & High-Performance Computing

๐ŸŒ Portfolio โ€ข ๐Ÿ“ง Email Me โ€ข ๐Ÿ™ GitHub

Location Open To Work Focus


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๐Ÿ’ซ About Me

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.

  • ๐Ÿ”ฌ Currently Researching & Building: Microbenchmarking sparse attention backends (RSA-X) in PyTorch/Triton, hardware-aware latency/throughput profiling.
  • โšก Core Strengths: Custom Deep Learning Engines from Scratch, System Optimization (C++/PyTorch/Triton), RESTful Architectures, and Responsive Web Platforms.
  • ๐ŸŽฏ Career Goal: Engineering high-efficiency AI model backends & scalable full-stack platforms that turn complex research into production-grade software.
  • ๐Ÿ’ฌ Ask me about: Transformer architectures, attention density profiling, NumPy autograd engines, C++ concurrency, React/Next.js full-stack development.

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๐Ÿ› ๏ธ Tech Stack & Toolkit

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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๐Ÿ”ฅ Featured Projects

โšก RSA-X: Reinforced Sparse Attention

Hardware-Aware Sparse Attention & Benchmarking Framework

  • Microbenchmarks custom sparse PyTorch/Triton attention backends against PyTorch's native SDPA.
  • Computes TFLOP/s efficiency, peak CUDA memory allocation, and token throughput.
  • Features spatial & temporal attention profiling (Shannon entropy, power-law density exponents).

Tech: PyTorch โ€ข Triton โ€ข CUDA โ€ข Python โ€ข Jupyter

๐Ÿง  Neural Engine from Scratch

Fully Connected Deep Learning Engine & Optimizer Benchmarking

  • Built neural network framework from first principles using pure NumPy with explicit backpropagation.
  • Implemented and benchmarked 4 optimization algorithms (SGD, Momentum, RMSProp, Adam) on MNIST.
  • Includes convergence dynamics visualization & gradient stability comparative analytics.

Tech: Python โ€ข NumPy โ€ข Matplotlib โ€ข Deep Learning

๐Ÿš€ NebulaFunded Platform

AI-Powered Proprietary Trading Firm Platform

  • Modern full-stack web application designed for prop firm traders with automated evaluation metrics.
  • Responsive, high-performance UI built with TypeScript and modern component architecture.

Tech: TypeScript โ€ข React โ€ข Next.js โ€ข Tailwind CSS

๐ŸŒฟ SereniFi Guide (GSSoC)

Personalized Mental Wellness & Meditation Application

  • Open source contribution developed under GirlScript Summer of Code (GSSoC).
  • Provides custom meditation sessions, interactive breathing routines, and tranquility tracking.

Tech: Python โ€ข Open Source โ€ข GSSoC โ€ข UI/UX


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๐Ÿ GitHub Contribution Grid Pixel Snake Animation

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๐Ÿ“Š Retro Cyberpunk Stats & Analytics

Sagar's GitHub Stats Top Languages

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๐Ÿ“ฌ Let's Connect!

I am always interested in discussing AI Systems, Machine Learning Infrastructure, Systems Programming, or Full-Stack Opportunities.

Portfolio ย  Email ย  GitHub

๐Ÿ‘พ Pixelated & Retro Styled with โค๏ธ by Sagar Kumar โ€ข Constantly Learning & Building ๐ŸŽฎ

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