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Wharton MBA & Penn Law | Ex-Tesla, Google & AWS | Near-Perfect GR
Humberto L.

3 hours tutoring

Your first lesson is backed by our Good Fit Guarantee

Hourly Rate: $150

About Humberto


Bio

I am a Wharton MBA candidate and Penn Law masters student with a background in Mechanical Engineering from Northeastern University. Before business school, I worked at Tesla, Google, and Amazon Web Services as an engineer building data systems, cloud infrastructure, and automation tools at scale.

I scored near-perfect on the GRE and have navigated the admissions process at some of the most competitive programs in the world. I know exactly what it takes to stand out.

My teaching...

I am a Wharton MBA candidate and Penn Law masters student with a background in Mechanical Engineering from Northeastern University. Before business school, I worked at Tesla, Google, and Amazon Web Services as an engineer building data systems, cloud infrastructure, and automation tools at scale.

I scored near-perfect on the GRE and have navigated the admissions process at some of the most competitive programs in the world. I know exactly what it takes to stand out.

My teaching philosophy is straightforward: I do not just show you how to get the right answer. I teach you the framework so you can solve any version of the problem on your own. I break down complex topics into clear, intuitive steps and tailor every session to your specific goals and learning style.

I specialize in:
-GRE and GMAT preparation (Quant, Verbal, and AWA)
-Computer Science and Programming (Python, Java, SQL, JavaScript, Data Structures, Algorithms)
-Data Science and Machine Learning (R, MATLAB, Tableau, Pandas, TensorFlow)
-Finance, Accounting, and Business Analytics
-MBA and Law School Admissions Consulting
-Career coaching for tech and consulting (resume, interview prep, FAANG recruiting)
-AWS Cloud Architecture and Certification Prep
-Microsoft Excel for business and finance professionals

I have mentored and tutored students for over five years across engineering, computer science, and business. At Google and AWS, I mentored junior engineers. At Wharton, I work with classmates on quantitative coursework and recruiting prep.

I offer a free 15-minute introductory call so we can discuss your goals and make sure I am the right fit. I respond to all messages within a few hours and am flexible with scheduling, including evenings and weekends.

Feel free to reach out with any questions. I am here to help you succeed.


Education

Northeastern University
Mechanical Engineer
University of Pennsylvania - Wharton
MBA
University of Pennsylvania - LAW
Masters
  • Licensed teacher

Policies


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Approved Subjects

Career Development

Career Development

I have professional experience across engineering, technology, and business, including roles at Tesla, Google, and Amazon Web Services, and I am currently completing my MBA at Wharton. Through my own career path, I have developed deep expertise in resume development, interview preparation, networking strategy, and navigating competitive recruiting processes. I work especially well with students and early-career professionals pursuing opportunities in engineering, tech, and business roles. My approach is practical and tailored, focusing on clear positioning, strong storytelling, and structured preparation for real interviews and applications.
College Counseling

College Counseling

I was accepted to Harvard, MIT, Stanford, Yale, Cornell, and Duke before choosing the Wharton School at the University of Pennsylvania for my MBA, where I am also completing a Masters in Law. I have helped dozens of students gain admission to top-ten universities and MBA programs by crafting compelling personal statements, building standout application narratives, and preparing for high-stakes interviews. My approach focuses on identifying each student's unique strengths and translating them into applications that admissions committees cannot ignore. I provide end-to-end guidance covering school selection, essay strategy, resume positioning, recommendation letter coaching, and interview preparation.
Machine Learning/ AI

Machine Learning/ AI

I designed and deployed machine learning systems at Google super Inteligence lab and Amazon Web Services, working with classification, regression, NLP, deep learning, and reinforcement learning in production environments. I am currently building an AI-powered quantitative trading platform that uses ensemble models, transformer architectures, and gradient-boosted trees to generate investment signals. I tutor all levels from introductory machine learning concepts through advanced topics including neural networks, CNNs, RNNs, transformers, feature engineering, model evaluation, and deployment using Python, TensorFlow, PyTorch, and scikit-learn.
MBA

MBA

I am currently did my MBA at the Wharton School at the University of Pennsylvania, one of the top-ranked business programs in the world. I tutor MBA students across core coursework including corporate finance, financial accounting, managerial economics, operations management, statistics, and business strategy. Before Wharton, I worked at Tesla, Google, and Amazon Web Services, giving me real-world context to connect academic frameworks to practical business problems. I also provide MBA admissions consulting, including essay review, application strategy, and interview preparation for top-ten programs.
Robotics

Robotics

I have a strong engineering background in robotics, controls, and automation, with hands-on experience applying these concepts in real-world technical environments. My experience includes working with motion systems, sensors, automation logic, and robotics-related mechanical and control challenges. I earned a B.S. in Mechanical Engineering and have used robotics-adjacent skills across advanced engineering roles, including problem solving involving system behavior, control strategy, and hardware integration. I enjoy helping students break down complex robotics concepts into clear, practical steps they can understand and apply. I have 5 years of teaching experience
Calculus
GRE
JavaScript
Prealgebra
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Hourly Rate: $150
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