[Alexander Williams]{.ul}
Email : [williams_alex@pm.me]{.ul}
[https://alexanderwilliams.dev]{.ul} Mobile : +1-646-620-5398
[https://github.com/williamsalex]{.ul} Brooklyn, NY
**Flatiron School** New York City, New York
*Full Stack Software Engineering* *Nov. 2019 -- Mar. 2020*
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**Northeastern University** Boston, Massachussetts
*Computer Engineering, Math & Physics - 83 credits completed, on hiatus.* *Sept. 2018 -- Apr. 2019*
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**Bard Queens** New York City, New York
*AA degree completed during high school. Took OOP and Python with Linear Algebra.* *Sept. 2014 -- Jul. 2018*
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**[[Valence Life Sciences]{.ul}](https://valencefund.com)** New York City, NY
*Webmaster, Frontend Engineer (from May 2020) - part time* *Apr. 2018 -- Present*
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- **Company Website Development**: Built in React with ES6, in
the Airbnb style with modern functional components and hooks,
deployed via a JAMstack CDN. Identified, diagnosed, and fixed
website issues and errors, worked with key stakeholders on
design. Reduced company web costs by over 99%.
- **Company Website Maintenance**: Maintained and copyedited
website content, improved UI layout, used SEO techniques,
increased site traffic by 300% over two years, monitored
industry news and trends and researched portfolio companies.
**[[Northeastern University Mathematics Department]{.ul}](https://github.com/williamsalex/Bobadilla-Conjecture)** Boston, Massachusetts
*Algorithmic Researcher* *Feb. 2019 -- Jan. 2020*
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- **Research**: Studied high-dimension complex analytic
singularities using Python, Sage MATH and Singular, leveraged
operator-controlled pseudorandom generation via a multistage
stochastic Markov chain process.
- **Beta Invariant Determination Algorithm**: Discovered infinite
family of polynomials with negative Lê cycles, created the first
algorithm capable of finding beta invariants. Decreased solving
time in 3 - 5 dimensions from on average 10 minutes to 5
seconds, reducing skilled labor requirement by over 99%.
- **Large Scale Parallel Computation**: Parallelized algorithm
using both a Bash script and a GNU parallel implementation.
Increased local polynomial sampling size by more than 10000x,
allowing for more sophisticated analysis at scale. Deployed
algorithm remotely via a Slurm job array on a centOS computing
cluster allowing for billion point sampling.
**Code for America, Boston Brigade** Boston, Massachusetts
*Data Analyst* *Mar. 2019 -- Apr. 2019*
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- **EPA Data Analysis**: Worked with a remote GCP SQLite database
liaising to the EPA's water quality database to analyze
multi-billion point datasets and derive insights into water
quality in the US.
- **Data Visualization**: Created dynamic data visualizations in
Power BI to indicate trends and contaminant hot spots and
supported data scientist algorithm design efforts.
-
Cruze - HackNYU 2020 Winner: Created a custom routing algorithm which utilized local bike infrastructure data to increase cyclist safety using weighted routes determined via imported data from NYC Open Data and utilized ArcGIS' REST API. Won 1st Place Health & Sustainability and Best Sports Hack. [Link to project page]{.ul}.
-
DirExit - DragonHacks 2020 Winner: Created a raspberry-pi fire exit sign, intelligently routing evacuees to unblocked exits. Designed pathing with backtracking and lossy compression algorithms in Python, worked on final product integration and visualization. Won 1st Place Overall and Best Data Analysis & Visualization. [Link to project page]{.ul}.
-
Chat App - Flatiron School Final Project: Built a Slack-like chat application, which allows users to create channels and talk with other registered friends. Used Ruby on Rails and Action Cable for a live-capable backend and React and Electron for frontend. [Link to backend]{.ul}, [link to frontend]{.ul}.
- Languages: TypeScript, Python, Ruby, SQL Technologies: React, Node, Express, Flask, Rails, noSQL