Harshini

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Harshini is a machine learning and math mentor who turns complex topics into clear, hands-on steps. She teaches Python, linear algebra, and ML/AI with real projects, short practice loops, and patient coaching that connects theory to application. Harshini teaches at Atlas School and develops AI learning content for Coursera, reaching learners worldwide. She earned an M.S. in Computer Science with top marks and holds certifications in AWS Machine Learning and TensorFlow. Students describe her lessons as “simple, structured, and motivating.” Away from code, she loves cooking, sketching, and data-spotting patterns in everyday life.

Friday- 9:00AM - 11PM (CST)
Saturday- 9:00AM - 11PM (CST)

My teaching approach is hands-on, step-by-step, and focused on building confidence. I like to take complex Machine Learning concepts and explain them in a clear, simple way, using examples and practice to help students connect theory with real-world applications. I am always learning myself — through my work at Coursera and Atlas School — which helps me bring fresh methods and insights into my teaching every day.

I earned a Master of Science in Computer Science from Northern Arizona University with a 4.0 GPA, and a Bachelor of Engineering in Electronics and Communication from Osmania University. I also hold certifications in AWS Machine Learning and Deep Learning with TensorFlow.

I have more than three years of experience teaching and tutoring students in Machine Learning, Deep Learning, and related math and data concepts. Right now, I’m teaching Machine Learning courses at Atlas School and also developing AI content for Coursera, where I continue to learn and grow as an educator every day. I’ve worked with hundreds of students in classrooms, workshops, and one-on-one sessions, helping them overcome challenges and succeed with their projects. I also regularly support peers and friends, breaking down technical topics into simple steps.

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Harshini
$127.00 USD

Subject Expertise

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Linear Algebra
Linear Algebra
Machine Learning
Machine Learning
Math
Math
Python
Python
Robotics
Robotics

My mission

“My mission is to make Machine Learning and math approachable, exciting, and confidence-building for every student. I believe that complex topics can be broken down into simple steps, and that with the right guidance, every learner can discover the joy of problem-solving and creativity in technology. Tutoring inspires me because I get to see that moment when a concept finally clicks for a student.”

My Story

“I grew up in India and later moved to the United States to pursue my Master’s in Computer Science, which I completed with a 4.0 GPA. Along the way, I discovered my passion for teaching by helping classmates and later working as an instructor. Today, I teach Machine Learning at Atlas School and create AI learning content for Coursera, which lets me learn and grow every day. Outside of teaching, I enjoy cooking creative recipes, exploring new cities, and sketching. Teaching is a big part of who I am, and I love sharing knowledge in ways that feel encouraging and practical.”

Cognitive Diversity

How I adapt to students with diverse intellectual needs.

I believe every student learns differently, so I personalize my lessons to match their style. Some students learn best with visual examples, others with step-by-step structure, and others by doing hands-on projects. I’ve worked with learners who needed extra support in math as well as those who were gifted and ready for advanced challenges. My goal is to always make sure each student feels respected, capable, and encouraged, no matter their learning style or pace.

I have not formally tutored children diagnosed as twice-exceptional, but I have worked with students who were both advanced in some areas and needed extra support in others. My approach is to focus on their strengths while gently reinforcing the areas that need more attention, helping them feel capable and motivated.

I have taught many gifted students who were ready to move quickly through material or explore advanced projects. I adapt by giving them enrichment opportunities, such as coding experiments, research tasks, or challenging ML problems, to keep them engaged and motivated.

While I haven’t worked formally with profoundly gifted students, I am very comfortable personalizing lessons for highly advanced learners. I enjoy letting students explore projects at their own pace and challenging them with open-ended problems.

I’ve worked with students who needed extra support in staying focused during lessons. Online, I use strategies like breaking lessons into smaller chunks, asking frequent check-in questions, and using interactive coding or problem-solving tasks to keep them engaged. I believe variety and active participation are key.

I don’t have formal experience teaching children on the autism spectrum, but I am very comfortable adapting lessons to meet different communication and learning needs. I keep explanations clear, use visual examples when helpful, and give students time and space to process ideas.

I don’t have formal experience tutoring students with dyslexia, but I believe in using multiple approaches — visual explanations, clear step-by-step instructions, and patient repetition — to support learners who may struggle with text-heavy materials.

I don’t have direct experience with sensory processing challenges, but I’m mindful of creating a calm, clear, and flexible online learning space. I check in with students and adjust pace, visuals, or activities as needed to make learning comfortable.

I don’t have direct experience with sensory processing challenges, but I’m mindful of creating a calm, clear, and flexible online learning space. I check in with students and adjust pace, visuals, or activities as needed to make learning comfortable.

Harshini Sample Lesson

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