Son Tran
Son Tran
CV
Resume
Me.

I am an undergraduate (senior) at UC Berkeley. I am interested in robotics, optimization problems, and applications in machine learning, including reinforcement learning and computer vision.

I am teaching two EE16B (Designing Information Devices and Systems II) discussion sections this semester. I will post my discussion slides and other resources for the course on this site, and you can access it through this link.

Education

Aug 2018 - Dec 2020 B.S. in EECS (3.93/4.00)
UC Berkeley
Jan 2016 - May 2018 A.S. in CS (4.00/4.00)
Golden West College

Experience

Aug 2014 - Aug 2015 RiverCrane Vietnam, Software Developer

Research Experience

Jan 2020 - Present UC Berkeley, EECS Department, Prof. Avideh Zakhor
Robotics, Computer Vision, Machine Learning
Aug 2019 - Dec 2019 UC Berkeley, EECS Department, Oladapo Afolabi
Computer Vision, 3D Vision, Augmented Reality, Virtual Reality
May 2019 - Dec 2019 UC Berkeley, EECS Department, SWARM Lab,
Micro Electro Mechanical Systems (MEMS)
Jun 2018 - Aug 2018 CSU Fullerton, Yun Tian
Distributed computing and machine learning
Feb 2018 - May 2018 JPL, Caltech, Rishi Verma
Streaming

Teaching Experience

Fa2020 Designing Information Devices, and Systems II (EE16B), Teaching Assistant (TA)
Su2020 Designing Information Devices, and Systems II (EE16B), Teaching Assistant (TA)
Sp2020 Designing Information Devices, and Systems II (EE16B), Teaching Assistant (TA)
Fa2019 Designing Information Devices, and Systems II (EE16B), CSM Senior Mentor
Sp2019 Designing Information Devices, and Systems I (EE16A), CSM Junior Mentor
Sp2019 The Structure and Interpretation of Computer Programs (CS61A), Academic Intern (AI)

Coursework

  • Operating Systems and System Programming, John Kubiatowicz, Fa2020
  • Probability and Random Processes, Shyam Parekh, Fa2020
  • Signals and Systems, Jaijeet Roychowdhury, Fa2020
  • Introduction to Machine Learning (CS 189/289A), Jonathan Shewchuk, Sp2020
  • Robotic Manipulation and Interaction (EECS C106B/206B), Shankar Sastry and Ruzena Bajcsy, Sp2020
  • Optimization Models in Engineering (EE127), Alexandre Bayen, Fa2019
  • Introduction to Robotics (EE106A), Shankar Sastry, Fa2019
  • Efficient Algorithms and Intractable Problems (CS170), Satish Rao and Prasad Raghavendra, Fa2019
  • Introduction to Artificial Intelligence (CS188), Aditya Baradwaj and Brijen Thananjeyan, Su2019
  • Great Ideas of Computer Architecture (Machine Structures) (CS61C), Branden Ghena, Morgan Reschenberg, and Nick Riasanovsky, Su2019
  • Introduction to Teaching Computer Science (CS370), Christopher Hunn, Sp2019
  • Designing Information Devices and Systems II (EE16B), Anant Sahai, Jaijeet Roychowdhury, and Kristofer Pister, Sp2019
  • Discrete Mathematics and Probability Theory (CS70), Alistair Sinclair and Yun Song, Sp2019
  • Data Structures (CS61B), Josh Hug, Sp2019
  • Designing Information Devices and Systems I (EE16A), Vladimir Stojanovic and Gireeja Ranade, Fa2018
  • The Structure and Interpretation of Computer Programs (CS61A), John DeNero, Fa2018

Honors & Awards

Inducted Jan 2019 Eta Kappa Nu (HKN) Honor Society
2018 Cal Alumni Association - Achievement Award Program
2017 - 2018 Academic Honors Recognition, Golden West College

Skills

Languages

Python, Java, C, C++, bash, JavaScript, HTML, CSS MATHLAB
Frameworks

Git, Docker, Vagrant, PyTorch, TensorFlow, NumPy, SciPy, Apache Spark, Apache Hadoop, Apache Kafka
Systems

Linux, OSX

Last updated on 2020-09-26