Shree Manickaraja CS/DS, emphasis on AI/ML and Web/App Dev.
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Learning computer science doesn’t have to feel overwhelming, boring, or impossible and I design my lessons around proving just that.

I’ve been tutoring for more than 3 years, both in programming and tennis, which has shaped how I teach: clear fundamentals first, smart repetition, and constant feedback. Whether I’m explaining a forehand or a for loop or an if statement, my goal is the same: help you actually understand what you’re doing instead of memorizing steps.

On the programming side, I work across Java, JavaScript, Python, and more, with experience in:

Web development (front-end & back-end concepts(AKA full-stack))

App development(React Native and Android/IOS only development as well)

AI / Machine Learning Fundamentals and Complex Models

Data structures & problem-solving

Project-based learning (building real things, not just toy examples)

I don’t believe in one-size-fits-all teaching. Some students need visuals, some need analogies, some need to break things and debug together. I adapt fast to how YOU learn, so the lessons are about you, not me or my teaching style. If you’re stuck on a concept, we’ll attack it from multiple angles until it clicks.

I’ve worked with students who:

Are new to coding and want a strong foundation.

Are struggling in CS classes and need things explained simply.

Want help with projects, assignments, or personal ideas.

Want to move beyond “tutorial hell” and build confidence.

My sessions are structured but relaxed, focused but never intimidating. You’ll always know why something works, not just that it works.

If you’re looking for a tutor who’s patient, technical, and genuinely invested in your progress and not just doing it to do it, you’ll feel right at home in my classes.

Subjects

  • Computer Science Expert

  • Python Expert

  • Data Science and Machine Learning Expert

Experience

  • Author of Project Py: Foundations (Mar, 2026–Mar, 2026) at Kindle Direct Publishing
    Wrote about the fundamentals and basic building blocks of Python. Talked about control loops, variables, and so much more to help expand ground when coding in general as Python is a great base language for expanding into other languages in programming.

    Continuing it as a series, with the next book coming out soon about AI & Automation.

    Well reviewed book on Amazon with over 30 orders.
  • Mobile/Web App Developer, AI Model Trainer, and Founder for AutoCourse (Oct, 2025–Present) at Livermore Valley Joint Unified School District
    Designed and developed AutoCourse, an AI-powered web and mobile study companion that transforms raw study materials into interactive learning tools.

    Built the frontend using React, Next.js, and Tailwind CSS, focusing on a clean, intuitive, and student-friendly user experience.

    Implemented LLM-powered content generation to extract key concepts and automatically generate flashcards, quizzes, and matching games.

    Engineered a chunking and context-preservation strategy to process large documents while staying within API token limits and maintaining content accuracy.

    Developed a spaced repetition algorithm to improve long-term retention and optimize study efficiency.

    Designed and managed the database layer using PostgreSQL (NeonDB) to store user content, progress, and study history reliably.

    Ensured high-quality output and relevance by refining prompt design and validating AI-generated content against user expectations.

    Iteratively improved the product through continuous user feedback, refining features and UX until the platform met real student needs.

    Managed deployment and hosting through Vercel, enabling rapid iteration and reliable delivery.

    Balanced AI capability, performance, and usability, ensuring the system remained fast, accurate, and scalable as usage grew.
  • Lead Mobile App Developer and Founder of Nagarathars Association Address Manager(NAAM) (Jul, 2025–Present) at Northern California Nagarathars Association (NCNA)
    Led end-to-end development of NAAM(Nagarathars Assocation Address Manager), a cross-platform mobile and web application, from system design to deployment, in partnership with the Northern California Nagarathars Association (NCNA).

    Designed and built iOS and Android mobile applications using React Native, ensuring a consistent and scalable cross-platform experience.

    Developed and maintained the web application using JavaScript via Next.js, providing a functional demo and extended access beyond mobile.

    Architected and implemented a secure backend using Node.js/Express and MongoDB, supporting user profiles, community interactions, and administrative tools. Implemented cron tools to keep backend running continuously to reduce latency as well.

    Engineered encrypted storage and data protection mechanisms to safeguard sensitive personal information, including addresses, phone numbers, names, and photos.

    Implemented secure authentication and authorization workflows to prevent unauthorized access and ensure community trust.

    Working on integrating API services to enable email connectivity and planned interoperability with NA Tree, a Nagarathar family tree platform.

    Built analytics and address management tools to support the community with necessary insights.

    Focused on scalability and performance optimization, preparing the platform to support thousands of users during and after beta testing.

    Conducted extensive testing, debugging, and security validation to minimize data leakage risks and ensure production readiness.

    Collaborated closely with community leaders and admin to translate real-world needs into technical solutions, balancing usability, privacy, and ethical responsibility.
  • Lead Web/Mobile App Developer and Founder of WasteEasy (Apr, 2025–Present) at Livermore Valley Joint Unified School District
    Led the conceptualization, design, and full-stack development of WasteEasy, a mobile-first web application focused on incentivizing waste reduction on school and organizational campuses.

    Designed and implemented the frontend using React, Next.js, and Tailwind CSS, prioritizing a fast, intuitive mobile experience optimized for on-the-go usage.

    Built and maintained a scalable backend using Node.js/Express and MongoDB to manage users, waste reports, points, rewards, and analytics.

    Integrated image processing and AI-powered classification using the Gemini API to automatically analyze waste images and recommend proper disposal bins.

    Developed an incentive-based rewards system, enabling organizations to define custom rewards that drive sustained user engagement and behavioral change.

    Implemented secure authentication and encrypted data handling, protecting sensitive user information including location data used for statistical analysis and waste tracking.

    Designed and deployed community features such as leaderboards, challenges, and progress tracking to promote competition, accountability, and long-term participation.

    Managed project planning, iteration, and deployment, including hosting and continuous delivery using Vercel.

    Collaborated with schools and organizations to align technical features with real-world sustainability goals and operational needs.

    Balanced technical, business, and marketing considerations, ensuring the platform was not only functional but also adoptable, scalable, and impactful.

    Supported real-world usage and expansion, helping scale the platform to hundreds of active users with plans for regional growth across the Livermore Valley.

    Took real world feedback from students and iterated & implemented multiple different features that were added later, such as the contamination checker and "What Bin?" feature to help with sorting and admin checks.

Education

  • High School Diploma (Aug, 2025–now) from Livemore High School–scored 4.7 GPA

Fee details

    US$14–25/hour (US$14–25/hour)

    I start at $14 USD and go up based off the student's interest in learning more advanced materials and more than the materials described in the original tutor request description

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