Raymond Wu
Machine Learning Engineer with a Business Degree
Updated 7 months ago
11+
Years Experience
17
Roles
61
Skills
5
Education
About
As a recently graduated software engineer of Make School I'd describe myself as tenacious and always willing to learn. I love any projects in which machine learning can be incorporated. I've been complimented on the many ways that I've learned to unblock myself when faced with a difficult problem and how I make the most out of one-on-one meetings. Highlights: • Science Hack Day 2019 - Best Sensory Award • QBI Hackathon 2018 - 2nd place • Science Hack Day 2018 - Best Design • President of National Society of Leadership and Success Pomona Chapter 2008-2011 Current engineering projects: https://github.com/RaymondDashWu Portfolio: https://www.makeschool.com/portfolio/raymond-wu Looking for software engineering roles at a company that utilizes machine learning in their product or processes.
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Experience (17 roles)
Full-time · 3 yrs 8 mos
Current2 roles · Jan 2022 - Present
Fellow
CurrentCreate Flask endpoints to communicate with OpenStreetMap’s Overpass API and Mapillary utilizing Python and Javascript Query task grid with Mapillary API to find places that need street imagery Utilize OpenStreetMap’s Overpass API to target specific features within task grid (roads, highways, etc.) P...
Fellow
Contribute to Solana’s Governance UI Implement improvements to the workflow of Decentralized Autonomous Organizations (DAOs) through multisig governance Engage in design discussions with senior engineers and other fellows Created and maintained a Kanban Board for fellows and mentor Maintained Solana...
CodeLabs Software Engineering Intern
Contributing to Uber's codebase through the mentorship of Chris Gervang, Senior Software Engineer at Uber Elevate. Primarily working on Kepler.gl (a data visualization web app that serves ~50,000 users a month) • Incorporate movie creation features of Hubble.gl into Kepler.gl (https://github.com/ub...
Insight Generator (On Hold)
Freelance, self-employed · Self-employed
An application that will allow users to upload data and get automatic at-a-glance insights into the data using the latest machine learning techniques. • Analyzed CSVs with correlation analysis and GloVe based cosine similarity • Created Celery Events to add to RabbitMQ Technologies used: • Backen...
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Education (5)
University of San Francisco
2020 - 2020
Activities and societies: How to create state of the art models in computer vision, natural language processing (NLP), recommendation systems, and tabular and time series data analysis How to use the brand new fastai v2 library along with PyTorch (the most popular software amongst top deep learning researchers) The foundations of deep learning: what is a neural network, how are they trained, and how do they make predictions How to turn your model into a real web application and how to debug your model if it goes wrong. Deep Learning Part 1 is taught by Jeremy Howard, founding researcher at fast.ai and a Distinguished Research Scientist at USF. His most recent startup, Enlitic, was selected as one of the world's top 50 smartest companies by MIT Tech Review. Previously, Jeremy was President and Chief Scientist at Kaggle. University of San Francisco Professional Certificate Programs.pdf
University of San Francisco
2019 - 2019
This course follows on from (and requires completion of) part 1 (and the associated MOOC). It tackles more complex problems that require integrating a number of techniques. This includes both integrating multiple deep learning techniques , as well as combining classic machine learning techniques with deep learning. All methods will be introduced in the context of solving end-to-end real world modeling problems. University of San Francisco Professional Certificate Programs Application Censored2.pdf
Make School
2018 - 2020
Activities and societies: Makerspace, Machine Learning, Backend Development Make School is a recently accredited project-based higher education startup that teaches all facets of Software Engineering. Make School adopts a pedagogy that simulates the tech company environment to ensure that their graduates are prepared for a career in Software Development. Earn a Bachelor's in Applied Computer Science at Make School
Skills (61)
Publications (7)▼
Improving a Recent Project by Finding my Faults
Medium · May 14, 2019
Product Brainstorm 1 — Hospital Sterilization Automation with UVC light (WIP)
Medium · Oct 10, 2018
Tackling Twilio-Level Troubles
Medium · May 17, 2019
DATASK — An Open Collaborative Platform for Science!
Medium · Dec 12, 2018
Server Side Caching
Medium · Nov 5, 2018
Doubly Linked Lists and How to Implement Them in Python 3
Medium · May 1, 2019
Image Segmentation with Berkeley DeepDrive — My attempt (in progress)
Medium · Apr 22, 2019
Languages (2)▼
Volunteer Experience (4)▼
Docent/Volunteer
Galster Park Nature Center
Jun 2010 - Jun 2015 · 5 yrs 1 mo
Volunteer
West Covina Fossil and Paleontology
Jun 2010 - May 2015 · 5 yrs
Member
CurrentFluorescent Mineral Society
Oct 2014 - Present · 10 yrs 11 mos
Photographer, Videographer
United Hope for Animals
Sep 2016 - Apr 2017 · 8 mos
Honors & Awards (3)▼
2nd Place Winner QBI Hackathon
Issued by QBI UCSF · Oct 2018
Collaborated on image segmentation model to identify breast cancer transition cells.
Best Design Winner Science Hack Day
Oct 2018
Created an online platform for citizen scientists. Live link: https://sites.google.com/view/hackers-x-scientists/the-league
Best Sensory Award
Issued by Science Hack Day · Oct 2019
Associated with Science Hack Day For creating a prototype mic preamp to be used in Kinetic Sculpture Race
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