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🎯
Actively Coding!
🎯
Actively Coding!
36 followers · 34 following

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

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@Gear-AI

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ToastCoder/README.md

Hi, I'm Vignesh👋

Software Engineer focused on architecting Intelligent Systems and Scalable AI Architectures. My work bridges the gap between low-level system performance and high-level predictive modeling.

⚡ Technical Focus

  • Core: Specializing in the end-to-end pipeline of Machine Learning & Deep Learning, from exploratory data analysis to model deployment.
  • Systems: Strong foundation in UNIX/Linux internals, leveraging POSIX-compliant environments for high-performance computing and automation.
  • Optimization: Proficient in multi-language development (Python/C++) to balance rapid prototyping with runtime efficiency.

🛠️ Expertise & Tooling

Domain Proficiency
Architectures Neural Networks, Transformer Architectures, Predictive Modeling
Systems Programming UNIX/Linux Kernel familiarity, Bash Automation, Software Logistics
Development Python (PyTorch/Scikit-learn), C/C++, Java, Git Workflows
Distribution PyPI Package Maintenance, Scalable Web Infrastructure

🌐 Connectivity


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  1. HRBuddy HRBuddy Public

    HR Buddy is an application which is inspired by HR Chatbot portals. Uses combination of Llama (LLM) + Nomic (Embedding) models. Uses Retrieval Augumented Generation for identify the context strictl…

    Python

  2. OpenCortex OpenCortex Public

    OpenCortex is a private, local-first document intelligence platform designed to function as a self-hosted alternative to NotebookLM. It enables users to interact with their own data using Large Lan…

    Python

  3. nush nush Public

    NuSH (or) Null Shell is a custom shell like bash, sh, zsh etc for UNIX based and UNIX like Operating Systems.

    C

  4. COVID-19-Prediction-in-India COVID-19-Prediction-in-India Public

    The code predicts the number of COVID-19 cases and deaths in India for the particular date which is provided. Implemented using TensorFlow.

    Python 1