University of California, Berkeley

Incoming ML Intern at EESA @ Berkeley Lab  -  CS Junior @ UC Berkeley

◦ Developing Test Automation: Translating 20+ legacy bash scripts to a host-driven Python framework, replacing our more manual, device-driven testing process, speeding up our process by 300%.
◦ Reported 2000+ failures and closed 1100+ tickets: Proving stability by filing and resolving P1, P2 bugs in the Apple File System (APFS) and in cross-functional components. Singlehandedly testing all APFS changes on macOS before it reaches over 100 million customers.
◦ Optimize Testing Processes: Reduced required testing for 30% of test cases by automating logging infrastructure and device restores using Ansible, improved test performance by 200% (i.e. MTBF (Mean Time Before Failure), Code Coverage, Test Execution Speed, Pass/Fail Rate).
◦ Building Utilities and Maintaining Test Suites: Adding new utility functions to reduce duplication and decoupling of massive scripts into reusable Python modules.
◦ Targeted Testing Consistently: updating 40+ test suites to align with the latest APFS features and adhered to deprecation timelines. This proactive approach guarantees that testing strategies remain relevant and effective, safeguarding against potential regressions in new software releases.
◦ Enhancing Documentation: Updating technical Confluence pages, documenting code and our team processes to help onboard cross-functional teams and new team members.

Apple

Software Development Engineer in Test

◦ Implemented REST API: Retrieves 40000+ data items and runs data-science-based analysis
◦ Spearheaded Performance Optimization: Improved latency by 300% using pagination, caching and optimizing backend code
◦ Designed Seamless UX: Designed intuitive user flows via UX mockups in Figma, allocated accessibility features for impaired users 
◦ Innovated AdTech Dashboard: Formulated an end-to-end solution to allow for rapid Ads delivery on the WMT platform
◦ Saved Time and Resources: Helped save nearly 1400 work hours and $4 million dollars annually

Walmart

Software Engineer Intern

◦ Founded by 2 Black Women Helped empower women and people of color, increasing diversity in tech
◦ Mentored Students Coached Data Structures & Algorithms and leadership skills (collaboration and public speaking) to students 
◦ Provided Emotional Support Helped students gain their self-esteem and confidence in their technical and problem-solving abilities 
◦ Student Reviews Received 4.9 stars

Edlyft

Bootcamp Instructor

◦ Performed Machine Learning Tuned hyperparameters (K-Means, Hierarchical clustering) to increase accuracy from 82% to 85%
◦ Challenged Research Hypothesis Demonstrated hypothesis complexity by showing weak correlation (30%) between core factors
◦ Streamlined Team Workflow Optimized team workflow via x-arrays and hierarchical indexing, saving 200 hours of annual work
◦ Piloted ML Visualization Library Engineered full-scale plotting library to rapidly diagram ML, tripled code changes. 100+ tests of automation testing 
◦ Published Paper Co-authored a paper in the Water Journal

Berkeley Lab

Machine Learning Intern

• Finalist, 2nd place, out of 40 Teams who competed
• Developed "Unbiased" with Verizon during a 2-week entrepreneurial program, Global Venture Catalyst, https://www.globalventurecatalyst.org/program
• Ran by Professor, Founding Director and Chief Scientist of SCET, Ikhlaq Sidhu
• Built API that would integrate with current hiring platforms such as Workday that would allow startups, medium companies
• Prototyped idea that would allow enterprises to hire individuals without unconscious bias
• Implemented software that would allow marginalized groups a fair chance to grab opportunities
• Helped transform company diversity and leveling the wage gap

Verizon Media

2nd Place, Finalist, Removing Bias in Hiring

• Collaborated with students to expand the role to integrate AI/ML in the day-to-day in the lab
• Helped teach core data science skills to Cal students to help advance research and data collection.
• Updated the ULAB website to include workshop modules
• Integrate and maintain Google Calendar on the ULAB website with information on ongoing projects
• Design frontend for website (i.e. graphics for the website, newsletters, etc...)
• Meeting with Research Mentors and/or Mentees to help with any computer science-related project group materials
• Managing and grading any CS-intensive workshop modules

Undergraduate Lab @ Berkeley

Data Science Intern

◦ Improved Fleet Optimization Used clustering (K-means, DBScan) to optimize COVID-19 essential deliveries, outperforming prior rates by 400-500% 
◦ Led Team Productivity Read 20-30 white papers on productivity and team management to streamline team workflow with Agile methodologies
◦ Coordinated Teamwork Refactored workflow (i.e. Migrated to GitFlow, Github Actions CI/CD), weekly check-ins — growing as a leader

American Honda Motor Company, Inc.

◦ Pioneered First-Generation Data Science Tools Invented 15 tools to solve data inequity, US census data (ACS, PUMS)
◦ Tackled Environmental Pollution Investigated major issues that disproportionately impact marginalized communities’ physical and mental health
◦ Empowered Marginalized Communities Broke down barriers in 5-7 social justice categories to data science and fighting against environmental injustice!

Communities for a Better Environment

• Completed the course in high school
• Helped teach the introductory computer CS 61A
• Mentored a lab of about 30 students, supporting them in a challenging introductory class
• Developedmy teaching skills and collaborative skills
• Improved my understanding of code by teaching: learning twice

UC Berkeley College of Engineering

Computer Lab Assistant

• Planned interviews and interviewed seniors in a documentary
• Capture the oral history that often goes undervalued in our fast-paced world
• Interviewed seniors on film as part of a documentary to capture 
• Managed equipment and lead interview setup
• Presented the documentary at a fundraiser for the nonprofit

Silver Screen Cinema Studios

Interviewer

• Led the team as President for 1 year 
• Compiled all the study/event resources for the team, recruit players, and led daily puzzle practices
• Coordinated the team in tournaments
• Encouraged good sportsmanship
• Planned and lead daily practices
• Coached players about chess theory
• Recruited new players
• USCF Rating: 1349  
• Led team to win first place in the 41st annual CalChess Scholastic State Chess Championship in 2016. 
• Won the 2018 CalChess Scholastic Bughouse State Champion, 1st Place
• Won the Rated Section San Francisco Chess Championship, scoring 4th place in the SF Bay Area

Jewish Community High School of the Bay (JCHS)

JCHS Chess Team President

• Helped plan six community service events
• Led and relayed ideas of a group of 8 teenagers
• Volunteered in immigration and senior centers

Misha Lubich