Teaching Style
I aim for an engaging, interactive style of teaching. Rather than lecturing, I like to involve students by asking questions, encouraging discussion, and connecting the material to real-life examples. My teaching is student-centered, meaning I adapt my methods to each student’s learning style—whether they prefer visual aids, hands-on activities, or conceptual explanations. This personalization keeps students more involved and invested in their learning.
Methodology
Assessment of Learning Style: I begin by understanding the student's preferred way of learning (visual, auditory, kinesthetic, or a mix).
Clear Objectives: For every session, I define clear learning objectives that align with the student’s curriculum or personal goals. This helps track progress and keeps the learning focused.
Active Learning: I incorporate exercises, coding challenges, and thought-provoking questions that make the student apply the concepts, not just memorize them. In subjects like computer science, I encourage practical programming from day one.
Scaffolded Learning: I break down complex concepts into simpler, digestible parts and build on them. Each topic is connected to the previous one so students can see how ideas interrelate.
Feedback Loop: I provide consistent, constructive feedback to help students understand where they excel and where they need improvement. I also ask for feedback to adapt my approach as needed.
Use of Technology and Resources: For subjects like computer science, I incorporate interactive tools like coding environments, simulations, and visual aids to make abstract ideas concrete.
Encouraging Curiosity: I always encourage students to ask questions and explore topics outside of the syllabus to develop a love for learning beyond exams.
Results
Improved Grades: Many of my students show a significant improvement in their grades as they grasp concepts more effectively.
Enhanced Problem-Solving Skills: By focusing on understanding and application, students become better at tackling complex problems, which helps them beyond just exams.
Increased Confidence: As they gain mastery over the subject, students become more confident in their abilities.
Developing Critical Thinking: Students often start applying their learnings to real-world problems, enhancing their critical thinking and analytical skills.
What Makes Me a Great Teacher
Adaptability: I tailor my teaching methods to the individual needs and learning pace of each student. This ensures they stay motivated and engaged.
Patience and Empathy: I maintain a patient, supportive atmosphere that allows students to ask questions freely and learn at their own pace. I understand that every student has unique challenges.
Passion for the Subject: My enthusiasm for subjects like computer science is contagious. I go beyond just the syllabus to spark curiosity and encourage creative thinking.
Continuous Learning: I’m constantly updating myself with the latest educational tools, trends, and methods to provide a modern, effective learning experience.
Strong Communication: I make complex ideas simple, helping students feel comfortable even with challenging topics.
Subjects
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ROS Programming (Robotics) Beginner-Intermediate
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Raspberry Pi & IoT Beginner-Expert
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Arduino & Robotics Beginner-Expert
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Python and OpenCV Beginner-Expert
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Python for Data science, Machine Learning and Artificial Intelligence Beginner-Expert
Experience
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Assistant Professor (Jun, 2017
–Present) at Rajalakshmi Engineering College Chennai
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Assistant Professor (Jun, 2016
–May, 2017) at Chennai Institute Of Technology, Chennai
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Assistant Professor (May, 2015
–May, 2016) at PSN INSTITUTE OF TECHNOLOGY AND SCIENCE
Education
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M.E - Mechatronics (Jun, 2013–Apr, 2015) from Mit chennai
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B.E - ECE (Jun, 2009–Apr, 2013) from Scad College of Engineering and Technology, Tirunelveli
Fee details
₹500–700/hour
(US$5.90–8.25/hour)
depends on technical content