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Professional Computer Science Tutoring
Albert L.

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Hourly Rate: $25

About Albert


Bio

From a young age, I’ve always been drawn to problem-solving, whether it was tackling tricky math puzzles, writing my first lines of code, or figuring out how to improve a test score. That curiosity led me to earn a bachelor’s degree in Computer Science from a top 5 university, where I built a strong foundation in analytical thinking and technical precision. After graduation, I joined Google, where I worked on complex engineering projects that strengthened my technical expertise and ability to...

From a young age, I’ve always been drawn to problem-solving, whether it was tackling tricky math puzzles, writing my first lines of code, or figuring out how to improve a test score. That curiosity led me to earn a bachelor’s degree in Computer Science from a top 5 university, where I built a strong foundation in analytical thinking and technical precision. After graduation, I joined Google, where I worked on complex engineering projects that strengthened my technical expertise and ability to explain challenging concepts clearly.

Over the years, I’ve discovered that my greatest satisfaction comes from helping others learn and grow. With several years of tutoring experience, I’ve guided students of all ages to succeed in math, computer science, and standardized test prep. My approach is patient, structured, and tailored to each student’s learning style. Whether it’s mastering calculus, preparing for the SAT, or learning to program in Python or Java, I focus on making every session engaging, efficient, and confidence-building.

In addition to academic tutoring, I specialize in software engineering interview preparation and career coaching. I help students and professionals strengthen their coding, algorithms, and system design skills, while also refining communication, resume presentation, and overall interview readiness. My goal is to make learning both rewarding and empowering while building lasting skills for the future.

Today, I’m an Engineering Manager responsible for conducting technical interviews, reviewing resumes, and making hiring decisions. This experience has given me firsthand insight into what top tech companies look for in candidates and how to prepare effectively for competitive software engineering roles.


Education

University of Illinois Urbana-Champaign
Computer Science

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Approved Subjects

Computer Science

Computer Science

I hold a bachelor’s degree in Computer Science and have over seven years of professional experience as a software engineer. I currently work as a Software Engineering Manager, where I lead development teams, conduct technical interviews, and make hiring decisions. My background spans coding, system design, and real-world application of computer science concepts. I bring both academic knowledge and practical industry insight to help students master programming, algorithms, and problem-solving.
Data Structures

Data Structures

I hold a bachelor’s degree in Computer Science, where I developed a strong foundation in data structures and algorithms. I am a long time tutor specializing in technical software engineering interviews, which frequently involve challenging LeetCode-style questions that require a deep understanding of data structures and algorithms. In addition, I have personally conducted over 500 technical interviews. I take a practical approach to teaching data structures, often using real examples to help cement theoretical concepts.
Machine Learning/ AI

Machine Learning/ AI

I hold a bachelor’s degree in Computer Science, where I developed a strong foundation in machine learning and artificial intelligence. I have built multiple real-world systems focused on ML training and inference, gaining extensive hands-on experience in deploying models that deliver measurable results. My expertise lies in bridging the gap between theory and practice, ensuring that each concept connects back to real-world product impact and business value. I take a practical, example-driven approach to teaching, helping students understand not just how ML and AI work, but why they matter.
Algebra 1
Algebra 2
Chemistry
Computer Programming
Elementary Math
Java
Managerial Accounting
Physics
Prealgebra
Precalculus
Probability
Python
Statistics
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