About Vignesh Prakash

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    United States
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About me

Hi there,

I’m Vignesh, the author of the “Constrained Editor Plugin” – a powerful NPM package, which adds one of the most requested feature in the Microsoft’s Monaco Editor (#953). This package has gained significant traction in the open source developer community with over 700 weekly downloads and 60+ Github stars. I’m currently focused on learning Machine Learning skills to push the boundaries of technology even further.

With my extensive experience as a software developer, specializing in JavaScript and Python, I have a proven track record of creating visually stunning and functional user interfaces for web applications. At Zoho Corporation, I developed scalable Widgets and Web Components, optimizing features for enhanced performance. Notably, I successfully implemented Microsoft’s Monaco Editor Library, delivering an IDE-like user experience across different browsers.

I hold certifications in Generative AI and DeepLearning using PyTorch, showcasing my expertise in these areas. My passion lies in futuristic technologies like Large Language Models (LLMs), Reinforcement Learning, and Computer Vision, and I’m constantly seeking new opportunities to apply my skills and drive positive change.

As a highly motivated and results-oriented individual, I’m confident that I can contribute significantly to the field of technology. I’m a team player who always goes the extra mile and is eager to learn and improve. I’m available for full-time, part-time, or contract work and open to relocation if necessary.

Let’s connect and explore how we can collaborate to create innovative solutions together.

Thank you!

Education

Experience

  • 2018 - 2022
    Zoho Corporation

    Software Engineer

    • Engineered a powerful Drag & Drop website builder from scratch, empowering CRM users to craft real-time accessible
    web-components, resulting in a rapid growth, reaching up to 10x more customers.
    • Revitalized 20+ Zoho products by implementing a robust Web Code Editor using Microsoft’s Monaco Editor, greatly
    enhancing their market appeal and boosting sales.
    • Diagnosed & Resolved multiple bugs by automating unit and end-to-end tests using Jest and Cypress, resulting in a
    reduction of release build testing time by 1-2 days and increased the health of code base.
    • Proactively automated cross browser compatibility checks in DevOps Pipeline using Gitlab CI/CD Actions and
    BrowserStack, minimizing the incompatibility issues, resulted in 5% faster integration with production code.
    • Demonstrated leadership skills by effectively leading a team of 4 developers by providing constructive feedback, de-
    bugging issues and conducted code reviews to ensure adherence to best practices.

  • 2018 - Present
    AI Camp — Palo Alto, California

    Guided Internship Lead

    • Built a Computer Vision Model that achieved an F1 score of 0.87 in detecting brain tumors from MRI images. [Website]
    • Implemented a similarity searcher using FAISS to generate prompts for Zero Shot Learning based on vector embeddings.
    • Mentored 5 students to develop a handwritten character recognizer, achieving an accuracy rate of 84%. [Pytorch Model]

Skills