Alexander Saavedra

Email is available upon request only via LinkedIn | San Francisco, CA | LinkedIn | GitHub


Alexander is a current Staff Solutions engineer working in application security with a strong cybersecurity, machine learning, and software development background. His current role he has been ranked number 1 in his division two consecutive years and won the division West SE of the year award 2022 at Synopsys which is a 21,000+ person company. Alexander has a relentless focus on delivering value to customers with an innovators mindset in all of his work. He focuses on making every day “day one” and making things 10 times better by rethinking what is considered possible. While in College he has worked as a Machine Learning research intern, Machine Learning engineer intern, and engineer intern achieving a UC Major GPA of 3.72 in Machine Learning and Neural Computation. He is currently pursuing a Master’s in Computer Science, Interactive Intelligence (like Machine Learning) at Georgia Institute of Technology which is a top 10 Computer Science program with a 4.0 GPA.

Hobbies: Reading, Biking, Weightlifting, Computer Games, Economics and Markets, Writing, Longevity and Health, Pedagogy, exploring future technology trends, poetry

Technical & Analytical Skills

Work Experience

Sr. Staff Solutions Architect | Synopsys Inc | San Francisco Bay Area | 2021 - present

Solutions Engineer | Launchdarkly | San Francisco Bay Area | 2019 - 2020

Software Engineer | Bina Technologies acquired by Roche | San Francisco Bay Area | 2016 - 2019

Software Engineer | Redbird Advanced Learning | San Francisco Bay Area | 2014 - 2015

Machine Learning Engineer Intern | Qualcomm Institute | San Diego, CA | 2013 - 2014

Machine Learning Research Intern | Redacted Company | San Diego, CA | 2012 - 2013


AI Assistant Research on Productivity and Creativity Enhancement

AI Assistant for Productivity and Creativity: Research project investigating creativity and productivity enhancement using AI assistants for all skill levels of users with surprising results leading to larger increases in expert performance over novice performance

GarageHub, the Airbnb of garage space

GarageHub: Developed ‘GarageHub’ – AirBnB for garage space – utilizing JavaScript, AngularJS, Firebase, Zapier, and Twilio API, designed to capture a $20Mill+ market of open garage space in San Francisco

Guru Indexer, Guru investor returns for index fund costs

Guru Indexer Guru index which aggregated stock data and metadata from various sources which was I believed would produce a highly concentrated long term outperformance focused strategy for large and small capital US based companies sources included GuruFocus and WhaleWisdom. The rough details are outlined in this blog post


M.S. Computer Science: Interactive Intelligence GPA: 4.0, Georgia Institute of Technology, 2023 - Present

B.S. Machine Learning and Neural Computation UC MGPA: 3.72, Minor in Computer Science, University of California San Diego

CoFounder and Principal Member, Hackathons at UC San Diego 2013 - 2014

Certifications and Awards
  1. Honors Scholar Transfer Award 2011
  2. Blockchain Basics
  3. Blockchain Platforms
  4. Decentralized Finance(DeFi): The Future of Finance
  5. Smart Contracts
  6. Convolutional Neural Networks
  7. Neural Networks and Deep Learning
  8. Structuring Machine Learning Projects
  9. Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization
  10. Learning How to Learn by Barbara Oakley
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