Sunil Kumar M PhD Scholar
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I am a dedicated Computer Science educator and a current PhD Research Scholar specializing in Machine Learning and Artificial Intelligence. I teach concepts in a simple, clear, and student-friendly manner, ensuring that even complex topics become easy to understand.

My teaching focuses on building strong fundamentals in Python, AI, ML, Deep Learning, Data Science, and NLP through practical examples, hands-on coding, and real-world applications. I have guided many students in completing academic projects, explaining difficult concepts, and preparing for exams, internships, and interviews.

I believe every student learns at their own pace, so I customize my classes based on individual learning style, goals, and current skill level. Students appreciate my patience, clarity of explanation, and the structured notes and practice sessions I provide.

Whether you need conceptual clarity, coding practice, project guidance, homework/assignment help, or preparation for university-level courses, I am here to support you step by step. My goal is to make you confident, skilled, and industry-ready in a short time.

Subjects

  • Computer Science Bachelors/Undergraduate-Masters/Postgraduate

  • Python Bachelors/Undergraduate-Masters/Postgraduate

  • Machine Learning Bachelors/Undergraduate-Masters/Postgraduate

  • Deep Learning Bachelors/Undergraduate-Masters/Postgraduate

  • Artificial Intelligence Bachelors/Undergraduate-Masters/Postgraduate

Experience

  • Teaching cum Research Assistant (Aug, 2025–Present) at Vellore Institute of Technology (VIT) University, Vellore
    Assisting in teaching courses and actively involved in research activities as part of the Ph.D. program. Supporting academic delivery, mentoring students, and contributing to ongoing research in Machine Learning and Artificial Intelligence.
  • Machine Learning Engineer Intern (Feb, 2025–Apr, 2025) at Nevar Systems,Pondicherry
    I led the development of a GIS-integrated industrial inspection model featuring a cutting-edge crack detection system. Leveraging machine learning algorithms, including the Segment Anything Model from Meta, my team and I were dedicated to identifying structural anomalies and cracks within industrial environments. Our approach enhanced field inspection efficiency by harnessing drone technology to capture imagery of critical infrastructure.

    Through the analysis of drone-captured imagery, we detected patterns indicative of structural defects, enabling proactive maintenance and risk mitigation strategies. My commitment lay in empowering industrial stakeholders with actionable insights derived from advanced data analysis. By promoting the reliability and longevity of critical infrastructure assets, we contributed to the safety and sustainability of industrial operations.
  • Artificial Intelligence Engineering Intern (Aug, 2023–Oct, 2023) at Open Weaver
    Engaged in a collaborative AI Engineering Internship with Open Weaver and ICT Academy, driving real-world application of theoretical knowledge. Simultaneously, I'm actively involved in personal projects to further enhance my learning. Enthusiastically contributing to AI advancements through teamwork, skill refinement, and innovative problem-solving. Grateful for this enriching opportunity to learn and grow professionally.
  • Project Intern (Jun, 2023–Jul, 2023) at CSIR-Central Leather Research Institute, Chennai
    During my tenure as a Project Intern at CSIR-Central Leather Research Institute, I collaboratively spearheaded the conception and execution of a sophisticated Ticketing Cell portal. This instrumental solution was meticulously designed to streamline and centralize the management of ticketing issues, effectively resolving associated concerns within the organizational framework. In this collaborative endeavor, my team and I synergistically leveraged our collective expertise, ensuring seamless coordination throughout the project's lifecycle. This experience not only honed my project management skills but also underscored the pivotal role of teamwork in delivering impactful solutions within a professional context.

Education

  • PhD (Jul, 2025–now) from Vellore Institute Of Technology, Vellore
  • M.Sc (Aug, 2022–Aug, 2024) from University of Madras, Guindy
  • B.Sc (May, 2019–Jul, 2022) from Loyola college- Chennai

Fee details

    ₹450–1,000/hour (US$4.74–10.53/hour)

    Level of the student (School / UG / PG)

    Subject complexity (Python / ML / AI / Deep Learning)

    Assignment/project support

    Duration and frequency of classes

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