Hi! My name is Daniel, a computer science tutor dedicated to helping learners build strong logical reasoning, problem-solving ability, and technical confidence in today’s rapidly evolving technology landscape. I earned my Bachelor’s degree in Computer Science from the University of Massachusetts Boston in 2007, followed by a Master’s degree in Computer Engineering from Northeastern University in 2010. In 2014, I completed my Ph.D. in Computer Science at the Massachusetts Institute of...
Hi! My name is Daniel, a computer science tutor dedicated to helping learners build strong logical reasoning, problem-solving ability, and technical confidence in today’s rapidly evolving technology landscape. I earned my Bachelor’s degree in Computer Science from the University of Massachusetts Boston in 2007, followed by a Master’s degree in Computer Engineering from Northeastern University in 2010. In 2014, I completed my Ph.D. in Computer Science at the Massachusetts Institute of Technology (MIT). My academic background allows me to blend strong theoretical foundations with practical, real-world computing applications.
With over 11 years of teaching and industry experience, I have tutored learners between the ages of 16 and 56, from students learning programming fundamentals to professionals preparing for technical interviews and advanced coursework. My tutoring subjects include computer programming, data structures and algorithms, software engineering, operating systems, computer engineering and web development. I have taught through interactive online platforms as well as personalized one-on-one coaching sessions tailored to individual learning goals and pace.
My tutoring approach emphasizes hands-on coding, structured problem decomposition, and iterative skill development. I guide students through live coding sessions, debugging exercises, algorithm walkthroughs, and detailed code reviews to strengthen core understanding. I incorporate project-based learning, system design scenarios, version control workflows, and performance optimization techniques to connect theory with practical software development. Learners work on incremental tasks that mirror real engineering challenges. By encouraging independent thinking, clean code explanation, testing discipline, and continuous feedback, I help learners build strong technical foundations, efficient coding habits, collaborative skills, and confidence when solving complex computer science problems across academic and professional contexts.
