A bit about me
I'm a rising third year Computer Science major at UC Berkeley, also studying Data Science. I do research at Autolab in the field of AI and robotics, and I'm currently interning at Google on the Trusted Contacts team. This semester I will be studying Machine Learning, Databases, Russian, and Judo. I'm looking forward to helping teach Data 8 at Berkeley, dancing for AFX dance team, and making a few cool new projects of my own. I am a fan of DC and Marvel superheroes, puppies, and great books.
Education
UC Berkeley
Major: Computer Science
Class of 2019
Course Work (CV)
Fall 2017
- Machine Learning (CS 189)
- Database Systems (CS 186)/li>
- Russian (1A)
- Judo
Spring 2017
- Efficient Algorithms and Intractable Problems (CS 170)
- Designing Information Devices and Systems I (EE 16A) - Python
- Social Implications of Computer Technology (CS 195)
- India in the Writer's Eye (SA R5B)
- Teaching Techniques for Electrical Engineering (EE 375)
- Bitcoin Seminar (CS 198)
Fall 2016
- Artificial Intelligence (CS 188) - Python
- Computer Architecture/Machine Structures (CS 61C) - C, MIPS
- Individual Morality and Social Justice (PHILOS 2)
- General Psychology (PSYCH 1)
- Tae Kwon Do
Spring 2016
- Data Structures (CS61B) - Java
- Discrete Mathematics and Probability (CS70)
- Data Arts (Art W23AC)
- Genetics and Society (MCB 41)
- Entrepreneurship Seminar (IEOR 190A)
- Intro to Design (ME 98)
- Tae Kwon Do
Fall 2015
- Structure and Interpretation of Computer Programs (CS61A) - Python, Scheme, SQL
- Foundations of Data Science (DS8/CS94/STAT94) - Python (ipynb)
- Data Science and the Mind (L&S 39F)
- Linear Algebra and Differential Equations (Math 54)
- Practical Programming (CS98)
- Entrepreneurship Lecture Series (E98)
Work Experience
Ampool.io
Skills Practiced: Machine Learning, Distributed Data and Computing
Duration: 5/2016 - 8/2016
Notes: Wrote a module to allow pandas compatibility with distributed data store. Currently working on an ML use case (recommendation engine using a probabilistic graph model)
Codenvy
Skills Practiced: Marketing, collaboration, teamwork, market research
Duration: 6/2015 - 8/2015
Notes: Led a project to create a market map of containers and how they disrupt DevOps. Publication to be pitched to TechCrunch, DockerCon, etc. in coming months.
How Containers Are Disrupting Devops
StrollerHikes
Skills Practiced: Web development programming (php, javascript, html, css), collaboration, teamwork
Duration: 6/2013 - 8/2013
Notes: Learned about web development and worked on backend development of user accounts
Iridescent
Skills Practiced: Video-journalism, technology skills, communication, collaboration
Duration: 12/2013 - 7/2013
Notes: Inspired interest in Technovation (Iridescent-founded).
Research Experience
Autolab Student Researcher: Professor Ken Goldberg, et. al
Researching robot learning-through-demonstration (LfD), working to combine artificial intelligence and robotics.
Papers/Collaborations: CASE 2017 Paper
Duration: 1/2017 - present
Learning Topologies Research: Professor Greg Niemeyer, et. al
Used K means clustering and PCA analysis to discover patterns to learning that emerge from data collected from an online classroom. Duration: 1/2016 - 5/2016
Cleantech Competition International Top 25
Research in nitrate reduction and water pollution for clean technologies. Also researched cancerous proliferation in yeast cells.
Papers: Nitrate Pollution
Water Contamination
Yeast Proliferation
Duration: 8/2012 - 7/2015
Support or Contact
Email: rjoshi@berkeley.edu
Phone: (408) 505 - 7031
©Ruta Joshi, 2017