🎓 Student at VIT Bhopal

💡 I am an AI/ML-focused developer passionate about building practical, scalable, and well-documented software solutions. My interests include Deep Learning, Computer Vision, NLP, Transformer Architectures, and modern AI development workflows.

🌱 Currently contributing to open source through GSSoC 2026 while strengthening my foundations in Machine Learning, System Design, and Production-Ready AI Development.

Contributed to MAPIE, an open-source Python library for conformal prediction.

• Added a classwise parameter to expected_calibration_error, preserving existing default behavior.
• Enabled classwise calibration evaluation while preserving the existing default behavior.
• Added unit tests and updated documentation for the new functionality.
• Updated the relevant documentation and addressed code-quality requirements.

Skills: Python · ML Evaluation · Unit Testing · API Design

🔗 View merged PR #934 →

const pradyumn = {
    pronouns: "He" | "Him",
    location: "India 🇮🇳",

    currentFocus: [
        "AI/ML Engineering",
        "Deep Learning",
        "Open Source",
        "Production AI Workflows"
    ],

    funFact: "I enjoy building AI systems and improving them through practical experimentation 🚀",

    code: ["Python", "C++", "JavaScript"],

    technologies: {
        aiMl: [
            "TensorFlow",
            "PyTorch",
            "Scikit-learn",
            "Hugging Face Transformers",
            "OpenCV"
        ],

        webDevelopment: {
            frontend: ["React", "HTML", "CSS"],
            backend: ["Node.js", "Express.js", "REST APIs"]
        },

        deployment: [
            "Docker",
            "GitHub Actions",
            "Render",
            "Vercel",
            "Netlify"
        ],

        tools: [
            "Git",
            "GitHub",
            "Linux",
            "VS Code",
            "Jupyter Notebook",
            "Google Colab",
            "Postman"
        ]
    },

    currentlyLearning: [
        "Transformers",
        "LLMs",
        "RAG Systems",
        "Model Optimization",
        "System Design"
    ],

    askMeAbout: [
        "AI/ML",
        "Deep Learning",
        "Open Source",
        "Computer Vision",
        "NLP"
    ],

    challenge: "Building practical AI systems with clean workflows and strong documentation"
};

🎨 Frontend Universe ⚙️ Backend & Database

🤖 AI/ML & Data Science ☁️ Cloud & DevOps

• Transformer Optimization Techniques
• RAG Systems
• Production AI Pipelines
• Dockerized ML Deployment
• Open Source Collaboration Workflows

• Contribute consistently to GSSoC repositories
• Build production-ready AI projects
• Strengthen DSA and system design fundamentals
• Deploy end-to-end AI applications
• Gain internship-level industry experience

• 💻 GitHub: Code-ve
• 🔗 LinkedIn: Pradyumn Krishna Arya
• 📧 Email: pradyumn9412@gmail.com

💬 I enjoy connecting with developers, open-source contributors, and AI enthusiasts. 🚀 Feel free to reach out for collaboration, technical discussions, or innovative project ideas!

⭐ Drop a star on repositories if you find them useful 🤝 Open to collaboration on AI/ML and open-source projects 🚀 Always learning, building, and improving through practical development