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Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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rdverse/README.md

🚀 About Me

I am interested in Applied AI and Hardware-software co-design.

My research work looked at developing different AI models to tackle six different scientific applications. I have also worked on projects related to system performance modeling and ML hardware optimizations. Currently, I am expanding my skillset in the direction of hardware-software co-design while working on my research in AI modelling.

I have worked as an intern at several industry leaders like AMD, Intel, Argonne National Lab, and collaborated with Spirit AeroSystems, and several Academic Research Labs on cutting-edge research and engineering projects.

🔎 What I'm Exploring Lately

🌅 Hardware-software co-design / optimizations for AI accelerators

  • Cycle-accurate simulation for next-gen AI accelerators
  • Microarchitecture exploration, CUDA programming, and GPU kernel tuning

🌙 AI models

  • Anomaly detection and segmentation
  • Exploring efficient diffusion models and generative pipelines
🤝 Connect With Me

📂 Technologies I worked with

📅 Past 1 Year

Python C++ CUDA PyTorch Docker VS Code Vim Bash Linux Git Jenkins Build

📆 Past 2-3 Years

Python C++ PyTorch TensorFlow OpenVINO Scikit-learn Docker AWS GCP Heroku VS Code Vim Bash Linux Git

🗓️ Past 4-7 Years

Python C++ TensorFlow Docker Scikit-learn JavaScript Node.js Java C Flutter Android Firebase D3.js HTML5 CSS3 Vim Emacs Linux Git

Beyond this, I had an electronics and communications engineering background and was interested in IoT.

📈 Dashboard

📊 This Week I Spent My Time On

💬 Programming Languages: 
C++                      4 hrs 55 mins       █████████████░░░░░░░░░░░░   52.36 % 
Cuda                     4 hrs 1 min         ███████████░░░░░░░░░░░░░░   42.75 % 
CMake                    18 mins             █░░░░░░░░░░░░░░░░░░░░░░░░   03.33 % 
Makefile                 5 mins              ░░░░░░░░░░░░░░░░░░░░░░░░░   00.97 % 
Markdown                 2 mins              ░░░░░░░░░░░░░░░░░░░░░░░░░   00.42 %

⚡ I love experimenting, whether it's with ideas, life, fitness, or learning.

Popular repositories Loading

  1. papers papers Public

    Forked from fregu856/papers

    Summaries of papers on machine learning, computer vision, autonomous robots etc.

    2

  2. explainableAI_varImpact explainableAI_varImpact Public

    Forked from markusloecher/explainableAI_varImpact

    Jupyter Notebook 2

  3. Advances-in-Label-Noise-Learning Advances-in-Label-Noise-Learning Public

    Forked from weijiaheng/Advances-in-Label-Noise-Learning

    A curated (most recent) list of resources for Learning with Noisy Labels

    2

  4. Awesome-Learning-with-Label-Noise Awesome-Learning-with-Label-Noise Public

    Forked from subeeshvasu/Awesome-Learning-with-Label-Noise

    A curated list of resources for Learning with Noisy Labels

    2

  5. eidolonold eidolonold Public

    JavaScript 1

  6. Neural_Networks_HAI Neural_Networks_HAI Public

    Python notebooks for Human Activity Inensity.

    Jupyter Notebook 1