Chinmay - Computer programming tutor - Mumbai
1st lesson free
Chinmay - Computer programming tutor - Mumbai

He's the ultimate teacher. Quality of the profile, excellence of the diploma, guaranteed response. Chinmay will carefully organize your first Computer programming lesson.

Chinmay

He's the ultimate teacher. Quality of the profile, excellence of the diploma, guaranteed response. Chinmay will carefully organize your first Computer programming lesson.

  • Rate €32
  • Response 1h
  • Students

    Number of students Chinmay has accompanied since arriving at Superprof

    50+

    Number of students Chinmay has accompanied since arriving at Superprof

Chinmay - Computer programming tutor - Mumbai
  • 5 (11 reviews)

€32/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Computer programming
  • Python
  • C++
  • Java
  • JavaScript

Senior SWE (5+ YOE) | AP CS, DSA & University CS Mentorship | Interview Prep

  • Computer programming
  • Python
  • C++
  • Java
  • JavaScript

Lesson location

Ambassador

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Chinmay will be happy to arrange your first Computer programming lesson.

About Chinmay

Senior Software Engineer with 5+ years of experience in Backend Development and Machine Learning.

Former Teaching Assistant for Data Structures & Algorithms and Database Management Systems, with consistent focus on building strong problem-solving foundations.

- Active in competitive programming, with top global rankings in contests such as Google Kick Start and Facebook Hacker Cup.

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Student Reach & Experience
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Have worked with students across the US, Canada, UK, and other international systems, including:

Princeton University (CS, 2nd year) — Data Structures & Algorithms
Georgia Institute of Technology (CS, 3rd year) — Java, DSA, DBMS
University of Texas at Austin (CS, 2nd year) — Java
University of Maryland (CS, 2nd year) — Java
University of Houston (multiple students) — Java, Data Structures
University of Toronto (CS, 2nd year) — Java
University of Bristol (CS, 2nd year) — Java
University of Nottingham (CS, 2nd year) — Java

Also trained:
- High school students (AP-level programming foundations)
- College students across all years
- Graduate and PhD-level learners
- Career switchers entering software engineering

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Scope of Mentorship
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- Data Structures & Algorithms (core focus)
- AP Computer Science
- College CS subjects (DBMS, OS, Discrete Math, etc.)
- Backend development (Spring Boot, Django, Node.js)
- Project building and interview preparation

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About the lesson

  • Primary
  • Junior Cycle
  • Transition Year
  • +14
  • levels :

    Primary

    Junior Cycle

    Transition Year

    Fifth Year

    Sixth Year

    Adult education

    Bachelor's degree

    Master's degree

    Diploma

    Doctorate degree

    Other

    Barrister-at-law degree

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

All languages in which the lesson is available :

English

Most students can code. Very few can think like engineers.

Most students rely on memorization and syntax. That approach breaks down in AP exams, college coursework, and technical interviews.

This training focuses on problem-solving, reasoning, and structured thinking, the skills required to perform under real academic and industry pressure.

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Sessions
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Sessions are built around your exact needs: coursework, assignments, interview prep, or project development. No generic lectures. Every session is based on real problems, real debugging, and real expectations from software engineering roles.

Students are trained to explain their thinking clearly, defend their approach, and write clean, production-level code.

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Focus Areas
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- Data Structures & Algorithms (interviews, internships)
- AP Computer Science
- College Computer Science coursework
- Backend fundamentals through real projects

Languages used as tools: Java, C++, Python, JavaScript

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Who This Is For
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- High school students preparing for AP Computer Science
- College students struggling with DSA and core CS subjects
- Students targeting internships and software engineering roles
- Beginners who want structured, industry-aligned learning

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Approach
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- First-principles problem solving (no memorization)
- Live debugging and code reviews
- Interview-style thinking and structured problem breakdown
- Emphasis on explaining before coding
- Personalized roadmap based on current level and gaps

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Outcomes
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Within weeks, students:

- Move from guessing to structured problem solving
- Learn to explain solutions clearly and confidently
- Build projects that demonstrate real capability
- Improve performance in AP exams, college coursework, and interviews

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Long-term:
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- Prepared for internships and real-world software engineering environments
- Free 1-Hour Consultation
- Evaluate current level
- Identify critical gaps
- Build a clear, actionable plan

No generic sessions. No wasted time.

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Rates

Rate

  • €32

Pack prices

  • 5h: €161
  • 10h: €321

online

  • €32/h

free lessons

The first free lesson with Chinmay will allow you to get to know each other and clearly specify your needs for your next lessons.

  • 1hr

Details

- Limited 1:1 slots to maintain depth and quality
- Small group sessions (2–4 students) available only for structured programs (AP CS / DSA)
- Group sessions are not generic classes, they follow a defined curriculum with problem-solving focus
- All sessions are customized to the student’s level and goals
- Languages and tools are selected based on learning objectives (Python, Java, C++, JavaScript)

Learn more about Chinmay

Learn more about Chinmay

  • Tell us more about your subject. How did you develop an interest in this field?

    I didn’t discover programming in a classroom. It started at home. I was 13 when my father first introduced me to C. At that age, I didn’t fully understand what software engineering meant, but I remember being fascinated by the idea that a few lines of logic could control what a machine does. It wasn’t just about syntax, it felt like learning how to think.

    Seeing how interested I was, my father arranged for me to learn under Asif Sir. He played a huge role in shaping my foundation. With him, programming stopped being random experimentation and became structured problem-solving. He strengthened my fundamentals in logic, memory, and computational thinking, the kind of basics most people try to patch later in their careers.

    Starting with C gave me a deep respect for how software interacts with hardware. Understanding memory, pointers, and system-level behavior early on changed how I approach every other language I learned later.

    What began as curiosity gradually turned into serious competitive programming. I went on to rank globally in competitions like Google KickStart and Meta (Facebook) HackerCup. That competitive rigor sharpened my problem-solving under pressure. From there, I moved into professional backend engineering and machine learning, applying the same fundamentals to real-world systems.

    Over time, programming stopped being just something I studied. It became the way I naturally approach problems, structured, logical, and curious about what’s happening underneath the surface.
  • What or who is the motivation behind you choosing to teach & why?

    My father introduced me to programming, but more importantly, he introduced me to thinking logically. Asif Sir then refined that raw curiosity into structured problem-solving. They didn’t just show me how to write code, they trained me to think clearly, question assumptions, and understand what’s happening beneath the surface. That early guidance gave me a compounding advantage I still benefit from today.

    In my 7+ years as a Senior Backend Engineer, I’ve noticed a recurring pattern. Most students aren’t struggling because they lack intelligence. They struggle because they lack clarity. University lectures often prioritize finishing the syllabus over building deep understanding. Students learn syntax, but not systems. They memorize solutions, but don’t internalize principles.

    I teach to bridge that gap between academic theory and industry reality. When I explain recursion, memory management, operating systems, or backend architecture, my goal isn’t just to “cover the topic.” It’s to make the why click. Once that happens, confidence follows naturally.

    Teaching allows me to:

    Prevent students from spending years confused about fundamentals

    Help them transition from writing code to building systems

    Train them to think like engineers rather than copy solutions

    I don’t just fix their current problem. I equip them with the mental framework to solve the next hundred problems independently.
  • How does your work help society?

    In my professional work, I build backend infrastructure and machine learning systems, the invisible layers that keep digital products running reliably. These systems handle real users, real data, and real consequences. When backend architecture is designed well, everything feels seamless. When it isn’t, systems break, scale poorly, or fail under pressure.

    Software today powers finance, healthcare, education, logistics, and almost every critical system we depend on. Competent engineers build reliable infrastructure. Poorly trained engineers unintentionally create fragile systems.

    That’s where teaching becomes meaningful.

    As an educator, I focus on depth. I don’t teach students to just “get code working.” I train them to understand what’s happening underneath:

    How operating systems handle system calls

    How databases manage concurrency and indexing

    Why scalability matters in backend frameworks like Spring Boot or Django

    How performance, memory, and architecture decisions compound over time

    When a student learns to write efficient OS-level code, manage complex DBMS logic, or design a scalable backend application properly, they’re not just passing an exam. They’re developing the ability to build systems that real people will rely on.

    Better engineers build better systems.
    Better systems create stronger digital infrastructure.

    My contribution isn’t just teaching students to write production code, it’s helping build engineers who can sustain and improve the systems the world runs on.
  • If you had to think of a role model for your work, who do you think of & why?

    Linus Torvalds built systems that power the modern world, and he did it through open collaboration. The Linux ecosystem proves that world-class engineering and community-driven knowledge sharing can coexist. That philosophy strongly influenced me during college when I contributed to open-source software. Writing code that others review, use, and improve teaches a different level of responsibility and clarity.

    Donald Knuth represents something equally important, intellectual rigor. His approach to algorithms and fundamentals reflects respect for precision and deep understanding rather than shortcuts. That mindset shaped how I approach both engineering and teaching.

    Together, they represent what I value: mastery before hype, fundamentals before optimization, and knowledge shared for collective growth. That’s the standard I try to maintain in my professional work and in the way I teach my students.
  • Tell us about your hobbies outside teaching.

    When I’m not working or teaching, I like to switch off completely. I enjoy playing games like Red Dead Redemption and Call of Duty simply because they’re fun.

    I’ve also recently started learning the ukulele, and a friend gifted me a harmonica, so I’m experimenting with that too. It’s something new, simple and relaxing.

    Outside work, I just enjoy being a normal person with hobbies.
  • Do you have an anecdote to tell us about your student or professional life?

    One student approached me struggling with C++. She could write syntactically correct code but struggled with problem-solving. Her confidence was low because university lectures felt abstract.

    Instead of pushing more problems, we rebuilt fundamentals:

    How memory works

    Stack vs heap

    Recursion tree visualization

    Breaking problems into substructures

    Within months, she went from avoiding coding interviews to confidently solving medium to hard problems on LeetCode and later building a Minecraft API integration project for her C++ Studio class.

    The turning point wasn’t more practice, it was structured thinking.

    That’s a pattern I see repeatedly: clarity beats intensity.
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