

Han profile and their contact details have been verified by our experts
Han
- Rate ₹2,738
- Response 1h
-
Students1
Number of students accompanied by Han since their arrival at Superprof
Number of students accompanied by Han since their arrival at Superprof

₹2,738/hr
1st class free
- Machine Learning
Ex-Coursera ML Tech Lead helps you land AI jobs with LeetCode, ML system design and real-world projects
- Machine Learning
Class location
About Han
If you’re struggling to pass ML interviews or don’t know how to break into AI — I can help you bridge that gap.
Hi, I’m Han — a Machine Learning Engineer with 7+ years of experience building real-world AI systems used at scale.
I’ve worked across large tech environments and startups, including leading machine learning platform initiatives at Coursera and developing production ML systems in finance. My work has supported products used by 200 million users and large-scale AI applications, including LLM-based systems and RAG pipelines.
What makes my teaching different is that I don’t just teach theory — I bring real industry experience into every lesson. You’ll learn not only how things work, but how they are actually applied in production, how engineers make decisions, and how to approach problems the way companies expect.
I also have experience in education-focused environments, which means I know how to break down complex topics clearly and structure learning in a way that is effective and not overwhelming. My goal is to create a supportive, engaging, and high-quality learning experience, where you feel comfortable asking questions and making progress at your own pace.
Students often tell me they feel more confident after just a few sessions — not only because they understand the material better, but because they now know how to apply it, explain it, and use it in interviews or real projects.
If you are serious about learning AI — whether for school, career transition, or interviews — I will help you build the skills and confidence to get there.
About the class
- Classes 1 to 5
- Classes 6 to 8
- Class 10
- +17
levels :
Classes 1 to 5
Classes 6 to 8
Class 10
Classes 11 & 12
Class 12
BTech
Class 11
Adult Literacy
Undergraduate
Masters
PhD
Other
MBA
Kindergarten (LKG, UKG)
Beginner
Intermediate
Advanced
Professional
Others
Children
- English
- Mandarin
All languages in which the class is available :
English
Mandarin
What sets me apart
- Real industry experience (7+ years): I’ve built ML systems used by 200 million users and production AI pipelines
- I have rich interview experiences to share and have worked across many different sizes of companies
- Teaching experience + structured learning (Coursera background): I know how to break down complex topics clearly
Bridge between theory and real world: I explain both why it works and how it’s actually used
- Interview-focused: I know exactly what ML, MLOps, and system design interviews expect
- Fun and high-quality learning experience: sessions are engaging, interactive, and tailored to your pace
- Result-driven mindset: every lesson is designed to move you closer to your goal (offer, skill, or project)
Who my lessons are for
I work best with:
- Learners who want to go deep in specific areas, such as: MLOps, RAG, AI infra
- Students (undergrad / master’s) in CS, data science, or related fields
- Engineers / analysts looking to switch into AI / ML roles
- Professionals preparing for interviews
LeetCode (coding rounds)
ML system design
Applied ML / MLOps discussions
- Intermediate learners who feel stuck between theory and real-world application
A typical lesson plan
Each lesson is customized, but generally follows this structure:
- Concept breakdown (20–30%)
- Hands-on or problem solving and Real scenarios (e.g., ranking system, fraud detection, LLM pipelines) (40–50%)
- Interview / application layer (20–30%)
- Leave with clear next steps
Rates
Rate
- ₹2,738
Pack prices
- 5h: ₹10
- 10h: ₹20
online
- ₹2,738/hr
free classes
This first free class with Han will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.
- 1hr
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