About me

Hi, I'm Abhyuday Vaish, a Computer Science undergraduate at Vellore Institute of Technology, Chennai (CGPA: 9.01). I'm passionate about research and building solutions in AI/ML — from quantum-inspired optimization and drug repurposing to real-time space weather detection and AI-powered education.

Currently interning at Samsung R&D and IIT BHU, and always looking to collaborate on impactful projects. Let's connect!

What i'm doing

  • AI icon

    AI/ML Research & Internships

    Currently interning at Samsung R&D (quantum-inspired annealing for multi-stage reasoning) and IIT BHU (deep learning-based drug repurposing). Previously at Daira EdTech and VIT Chennai.

  • development icon

    Software Development

    Building full-stack applications using Python, Flask, FastAPI, and modern AI frameworks. Experienced with PyTorch, TensorFlow, LangChain, and cloud deployment on GCP.

  • projects icon

    Innovative Projects

    From solar CME detection systems and Aadhaar analytics to AI academic assistants — building AI-powered projects that solve real-world problems.

Education & Experience

  • VIT Chennai

    Vellore Institute of Technology

    Bachelor of Technology in Computer Science (CGPA: 9.01)
    July 2024 – May 2028

  • Samsung R&D

    Samsung R&D (PRISM)

    Samsung PRISM Intern
    March 2026 – Present
    Remote

  • IIT BHU

    IIT BHU

    Research Intern
    March 2026 – Present
    Remote

  • GDG on Campus

    GDG on Campus | VIT Chennai

    Data Science Team Member
    Sep 2025 – Present

  • Daira EdTech

    Daira EdTech

    AI/ML Development Intern
    Aug 2025 – Oct 2025
    Remote

  • VIT Research

    VIT Chennai - Summer Research

    Summer Research Intern
    May 2025 – July 2025
    Chess AI Research

  • Microsoft Innovations Club

    Microsoft Innovations Club VITC

    AI/ML Team Member
    2024 – Present

  • Newton School Coding Club

    Newton School Coding Club VITC

    Technical Team Member
    Aug 2024 – Present

  • DPS Lucknow

    Delhi Public School

    High School
    Lucknow, India
    2022 – 2024

Technical Skills

Technologies and tools I work with
    Python
    Python
    Primary Language
    PyTorch
    PyTorch, TensorFlow & Scikit-learn
    Deep Learning
    Flask
    Flask & FastAPI
    Web Frameworks
    LangChain
    LangChain & HuggingFace
    LLM Development
    OpenCV
    OpenCV
    Computer Vision
    Git
    Git, Docker & Linux/Bash
    DevOps
    GCP
    Google Cloud Platform
    Cloud Deployment
    C++
    C/C++, Java & MATLAB
    Programming Languages
    SQL
    SQL & Postgres
    Databases
    VS Code
    VS Code, Cursor & Claude Code
    IDE & AI Tools

Awards & Achievements

  • 1st Place – IAIC 2025

    Research Poster Presentation at the Industry-Academia Innovators Conclave (IAIC 2025).

  • Competitive Programming

    LeetCode (1650+) · Codeforces (1280+) · CodeChef (1450+, Global Rank 754 in Starters 224)

Resume

Licenses & Certifications

  1. Deep Learning

    Indian Institute of Technology, Madras | May 2025

    NPTEL Gold + Elite Certificate

  2. Advanced Learning Algorithms

    DeepLearning.AI | Jan 2025

    Credential ID: 9QRNK67XVFZZ

  3. Machine Learning Specialization

    Stanford University | Jan 2025

    Credential ID: 2QUYGV6I90CQ

  4. Supervised Machine Learning: Regression and Classification

    DeepLearning.AI | Jan 2025

    Credential ID: 394P4CR3SNU5

  5. Unsupervised Learning, Recommenders, Reinforcement Learning

    DeepLearning.AI | Jan 2025

    Credential ID: QB51LPW9303Z

  6. Generative AI for Software Development Specialization

    DeepLearning.AI | Oct 2024

    Complete specialization covering AI-powered software design, team engineering with AI, and generative AI fundamentals

  7. Applied Machine Learning in Python

    University of Michigan | Mar 2022

    Part of Applied Data Science with Python Specialization

  8. Django for Everybody Specialization

    University of Michigan | Dec 2021

    Complete web development specialization covering Django frameworks, features, and libraries

  9. Machine Learning (Classic Course)

    Stanford University | Jul 2021

    Original machine learning course by Andrew Ng

Projects & Research

Contact

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