About me

Hey Everyone, I am Naman Dwivedi, a passionate student in India with a deep love for technology, especially machine learning and AI. I started coding in 8th grade.

I'm currently focused on honing my skills in machine learning and deep learning. My ultimate goal is to contribute to cutting-edge AI research and development while making a positive impact on society.

What I'm doing

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    AI Research & Development

    As an AI Research Intern at Vizuara Labs, I'm contributing to the 'Nuts & Bolts AI' project, an interactive platform designed to help students visualize and understand core AI concepts at a fundamental, matrix-level.

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    Deep Learning

    Specializing in deep learning techniques and neural networks, with a focus on Generative AI and Transformer architectures.

  • mobile app icon

    Frontend QA and Automation

    Gaining practical experience in frontend quality assurance and automation at Miraric.in.

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    Machine Learning

    Building and training machine learning models for various applications like fraud detection and churn prediction.

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Resume

Education

  1. Senior Secondary Education

    2018 — 2026

    Completed my 10th-grade board exams (2024) with 83% marks. Currently I am in 12th grade, in India.

Experience

  1. AI Research Intern, Vizuara Labs

    December 2024 — Present

    As an AI Research Intern at Vizuara Labs, I am a core contributor to the 'Nuts & Bolts AI' project, an interactive platform that helps students visualize and understand complex AI concepts at a fundamental, matrix-level. My work involves developing a hypothesis module to guide students in identifying research paths, creating a 'Vibe Coding' module that leverages Large Language Models for code generation, and authoring educational content for the platform.

  2. Frontend QA and Automation Engineer, Miraric.in

    November 2024 — February 2025

    As a Frontend QA & Automation Developer at Miraric Inc., I develop and run automated test suites for web apps using Cypress, ensuring quality delivery. I create reusable test scripts for functional, regression, and cross-browser testing, collaborate with developers to define acceptance criteria, and integrate tests into CI/CD pipelines. I also document testing processes and provide insights using tools like Cypress Dashboard.

  3. Machine Learning Intern, CodSoft

    August 2024 — September 2024

    During my internship at CodSoft, I developed three key models: a credit card fraud detection model using Logistic Regression, Decision Trees, and Random Forests; a customer churn prediction model with Logistic Regression, Random Forests, and Gradient Boosting; and a spam SMS detection model using TF-IDF, word embeddings, and classifiers like Naive Bayes, Logistic Regression, and SVM. I focused on data preprocessing, feature engineering, and model evaluation to improve performance across all tasks.

  4. Self-Learning and Skill Development

    2019 — Present

    Continuously learning and developing my skills in Artificial Intelligence skills through online courses and personal projects.

Achievements & Courses

  1. Machine Learning Specialization

    Coursera, by Andrew Ng

    Completed the Machine Learning Specialization by Andrew Ng on Coursera, earning a certification in foundational machine learning concepts and algorithms.

  2. Deep Learning Specialization

    Coursera, by Andrew Ng

    Completed the Deep Learning Specialization by Andrew Ng, gaining in-depth knowledge of neural networks and deep learning methodologies.

  3. Vizuara LLM Course

    YouTube

    Completed a comprehensive Large Language Model (LLM) course on YouTube by Vizuara, learning LLMs from foundational concepts to advanced applications.

My skills

  • Python
    85%
  • Machine Learning
    70%
  • Deep Learning
    60%
  • Frontend QA
    40%

Contact

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