1st lesson belanja
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David
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1st lesson belanja
- Machine learning
Carnegie Mellon University (CMU) Professor | Machine Learning Research Mentorship & Elite Admissions Capstone
- Machine learning
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About David
I have 25 years of experience in publishing in top computer science and machine learning venues, as well as top industry research experience. My recent work includes work at all levels of the stack in machine learning foundation models. See my homepage for more details:
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English
I am a professor at Carnegie Mellon University (CMU) in the Computer Science Department specializing in Machine Learning and Artificial Intelligence.
My focus is not standard academic tutoring. I work exclusively with highly driven students—both high schoolers aiming for top-tier undergraduate programs and undergraduates targeting elite top-10 MS/PhD programs—to develop admissions-grade research portfolios.
In today’s hyper-competitive admissions landscape, perfect grades are only a baseline. Admissions committees at top computer science programs are looking for a definitive academic "spike"—demonstrated, high-level research capabilities under the guidance of established academics.
About the Methodology / The Program: I do not offer traditional hourly tutoring or homework help. I run a rigorous academic incubator. Working 1-on-1, I guide my students through the formulation, execution, and finalization of an original Machine Learning research project.
For High School Students: We bypass standard curriculum to focus on foundation models and state of the art machine learning. The deliverable is an original, complex ML project or application that can be featured on a GitHub portfolio or potentially a research paper.
For Undergraduate / Graduate-Bound Students:
We focus on advanced theoretical frameworks, publication strategy, and graduate-level execution. The deliverable is a high-level research project, guidance on structuring papers for top-tier venues, and strategic formulation of your Statement of Purpose (SOP) to resonate with graduate review committees.
The Recommendation Letter:
Please note that a Letter of Recommendation is never guaranteed and cannot be purchased. However, for students who commit to a comprehensive project, demonstrate exceptional academic rigor, and produce high-caliber results, I am happy to write a formal Letter of Recommendation detailing their research capabilities.
Investment & Engagement Formats:
To ensure dedicated focus and maintain my own research and teaching commitments, I take on a strictly limited number of private students per cycle.
Project-Based Mentorship:
For students looking to build a complete project from scratch, I offer a structured, 12-week comprehensive research package. This includes weekly 1-on-1 mentorship, asynchronous code/paper reviews, and end-to-end guidance on a final deliverable. Pricing is provided after an initial consultation to ensure the student is a mutual fit.
Prerequisites:
A strong mathematical background, an exceptional work ethic, and basic programming familiarity are helpful, though not required.
HOW PRICING & ENGAGEMENT WORKS
Please note: Due to platform limitations, the hourly rate displayed ($300) reflects the cost of a 1-hour Initial Consultation & Academic Audit, not my standard hourly mentorship rate.
Because I am a sitting university faculty member, I do not offer ad-hoc hourly tutoring. I work with students exclusively through structured, project-based mentorships.
Step 1: The Academic Audit ($300 - 1 Hour)
This is a prerequisite for all new students. During this intensive 60-minute Zoom session, I will review your current technical portfolio, transcripts, and research goals. I will provide direct feedback on how an elite CS admissions committee will view your profile, and we will map out a potential capstone project.
Step 2: The Capstone Research Incubator ($12,000 - 12 Weeks)
If we are a mutual fit after the audit, I will invite the student to join my 12-week intensive incubator. This includes weekly 1-on-1 mentorship, asynchronous code review, and end-to-end guidance to produce an original, admissions-grade Machine Learning research project.
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Rates
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- RM1234
Pack rates
- 5h: RM6170
- 10h: RM12340
online
- RM1234/h
free lessons
This first lesson is free to allow you to get to know your teacher so that they can best meet your needs.
- 1hr
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