ML

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Misha Lubich

Crafting scalable solutions and innovating within cross-functional teams at industry leaders like Apple and Walmart

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100M+
Users Impacted
6
Research Papers
300%
Performance Gains
5+
Years Experience

About Me

Software Engineer and AI/ML Specialist passionate about creating scalable solutions that drive innovation. With experience at companies like Apple and GitHub, I blend technical expertise with research acumen to build impactful systems.

ML

Education

UC Berkeley

B.A. Computer Science

Publications

6 Research Papers

Machine Learning & Hydrology

Leadership

Cross-functional teams

Mentorship & Training

Open Source

Django Contributor

Community Impact

My Journey

From Apple to Walmart, delivering impactful solutions across diverse tech environments

Software Development Engineer in Test & Developer

Polaris Wireless

September 2024 - Present
San Francisco, CA
  • Engineered robust CI/CD pipelines using Jenkins, reducing deployment time by 50%
  • Led and mentored a cross-functional team of 4 engineers across QA, DevOps, and backend
  • Designed scalable data ingestion pipelines processing over 10 million records daily
Jenkins
Python
Maven
Apache Spark
Software Development Engineer in Test, CoreOS - File Systems

Apple

January 2023 - July 2024
Cupertino, CA
  • Migrated and optimized 20+ legacy test scripts achieving 300% automation efficiency improvement
  • Managed and resolved over 1,100 high-priority tickets for APFS updates impacting 100M+ macOS users
  • Implemented streamlined workflows using Ansible, reducing manual intervention by 30%
Python
Ansible
APFS
macOS
Software Engineer Intern

Walmart

May 2022 - August 2022
Sunnyvale, CA
  • Built and optimized REST APIs managing over 50,000 data items daily with 60% latency reduction
  • Enhanced backend performance by 300% using optimization techniques in Java and Spring Boot
  • Designed user flows using Figma and implemented them in Angular, achieving 25% increase in user satisfaction
Java
Spring Boot
Angular
REST APIs
Software Engineer Intern, Machine Learning

Lawrence Berkeley National Laboratory

May 2021 - August 2021
Berkeley, CA
  • Enhanced ML model clustering accuracy from 82% to 87% using K-Means and hierarchical clustering
  • Performed extensive data correlation analysis, identifying trends and improving hypothesis testing
  • Streamlined data processing workflows, saving over 200 hours annually in repetitive tasks
Python
Machine Learning
K-Means
Data Analysis
Software Engineer Intern

Honda Innovations

January 2021 - May 2021
Mountain View, CA
  • Engineered fleet optimization solutions achieving 500% improvement in medical supply delivery rates
  • Implemented Agile methodologies and facilitated stand-ups, increasing team productivity by 30%
  • Automated CI/CD workflows using GitHub Actions, improving code integration efficiency by 35%
GitHub Actions
Agile
Fleet Optimization
Data Analytics

Featured Projects

Innovative solutions that drive impact and create value

Equiverse.ml
5,000+ students impacted

AI-driven platform to improve educational equity, enhancing resource accessibility for over 5,000 underrepresented students through scalable, data-driven solutions.

AI/ML
Python
Data Analytics
Educational Technology
Flyoneo.ml
1,500+ active users

Co-founded startup specializing in AI/ML-driven solutions. Led a team of 8 interns, successfully launching an MVP with over 1,500 active users.

AI/ML
Startup
Team Leadership
MVP Development
Verizon - Unbiased
25% reduction in hiring bias

Designed technology solutions to reduce hiring discrimination by 25%, improving diversity and fairness in recruitment pipelines.

Machine Learning
Bias Detection
HR Technology
Data Analysis
Encrypted File Sharing System
50% faster transfers

Built a secure file-sharing system with end-to-end encryption, achieving a 50% increase in data transfer speeds.

Encryption
Security
File Systems
Performance Optimization
Gitlet Version Control System
66% faster commits

Implemented a lightweight, efficient Git version control system, reducing commit times by 66% and enhancing performance.

Version Control
Git
System Design
Performance
Pintos Operating System
40% performance boost

Refactored and expanded core OS functionality, achieving a 40% performance improvement through optimized code architecture.

Operating Systems
C
System Programming
Performance Optimization

Technical Skills

Comprehensive expertise across the full technology stack

Languages
Python
Java
C/C++
Go
JavaScript
TypeScript
SQL
Bash
Frameworks & Libraries
Spring Boot
Express.js
FastAPI
Django
React
Angular
PyTorch
Apache Spark
Cloud & DevOps
AWS
GCP
Docker
Kubernetes
Jenkins
Terraform
Ansible
GitHub Actions
Tools & Technologies
Git
MySQL
MongoDB
Selenium
Jupyter
Datadog
Prometheus
ELK Stack
Methodologies
DevOps
CI/CD
Agile/Scrum
TDD
Infrastructure as Code
Site Reliability Engineering
Leadership & Soft Skills
Team Leadership
Mentorship
Strategic Planning
Public Speaking
Technical Documentation

Research Publications

Contributing to the intersection of machine learning and environmental science

Research focus on machine learning applications in hydrology and environmental science

View Google Scholar Profile

Let's Connect

Ready to collaborate on innovative projects and drive technical excellence

Location

San Francisco Bay Area

Schedule a Meeting

Book a time that works best for you - let's discuss your project or collaboration opportunities

Or find me on these platforms