Education History

Academic background, qualifications, and continuous learning journey

Formal Education

Master of Science in Computer Science

Stanford University

Score: 3.8/4.0
Jan 2014 - May 2016

Specialized in Machine Learning and Distributed Systems. Conducted research on scalable algorithms for large-scale data processing.

Honors & Recognition

Dean's ListGraduate Research Assistant

Courses

CS229 - Machine LearningCS244 - Advanced Topics in NetworkingCS245 - Database System PrinciplesCS347 - Human-Computer InteractionCS161 - Design and Analysis of AlgorithmsCS240 - Advanced Topics in Operating Systems

Key Projects & Achievements

  • Developed a distributed recommendation system handling 1M+ users
  • Research paper on optimization algorithms published in IEEE conference
  • Led team project on real-time data processing using Apache Spark
Bachelor of Science in Computer Science

University of California, Berkeley

Score: 3.7/4.0
Aug 2010 - May 2014

Strong foundation in computer science fundamentals with focus on software engineering and algorithms.

Honors & Recognition

Magna Cum LaudePhi Beta KappaOutstanding Senior Award

Courses

CS61A - Structure and Interpretation of Computer ProgramsCS61B - Data StructuresCS61C - Machine StructuresCS170 - Efficient Algorithms and Intractable ProblemsCS186 - Introduction to Database SystemsCS162 - Operating Systems and System Programming

Key Projects & Achievements

  • Built a multi-threaded web server in C++
  • Developed mobile app with 500+ downloads on App Store
  • Senior capstone project on compiler optimization techniques

Continuing Education

Professional Certification

AWS Solutions Architect Certification

Amazon Web Services

2022

Online Course

Advanced React Development

Meta (Facebook)

2021

Online Specialization

Machine Learning Specialization

Stanford University (Coursera)

2020

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