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Jordan
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Jordan

Medford, Massachusetts --:--:--

Jordan Williams is a developer with over 7 years of experience specializing in data engineering and data analysis. With extensive experience in AWS, Python, and Scala development he can be an asset to an organization. He has experience working in startups and enterprise organizations. Jordan has in-depth knowledge of machine learning, state-of-the-art data sets, and data architecture. He has experience teaching computer science and giving presentations to professors and students.

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Skills
Years
1
2
3
4
5
6
7
8
9
10+
Terraform
Scala
Spark
Pandas
Numpy
Python
Unix
Akka
Azure
AWS
Flask
Scipy
PHP
MATLAB
Ruby on Rails
C#
MongoDB
scikit-learn
Tensorflow
MySQL
CSS
R
PySpark
matplotlib
AMQP
HTML
Entity
SIP
Java
ASP.NET
Cassandra
C++
Angular
Git
SASS
Node
C
XML
REST
T-SQL
Android
Developer Personality

Independent

Collaborative

Trailblazer

Conservative

Generalist

Specialist

Planner

Doer

Idealist

Pragmatist

Abstraction

Control

100
50
0
50
100
Feature Experience

Data Lake

Data Pipelines

Machine Learning

Database design/migration

MODERATE
EXTENSIVE
EXPERT
Cultural Experience

VoIP

Education

Logistics

Neruoscience Research

MODERATE
EXTENSIVE
EXPERT
Portfolio

Wise Systems

Software Engineer

Work Experience : 2019-Present

Working with incredible engineers and client-facing roles to deliver value to business-critical applications. Working with logistics companies primarily in the beverage and courier space. In this fast-paced environment, he built a data lake in AWS S3 and AWS Glue, he maintains the infrastructure using a mix of AWS EC2, AWS RDS, and Python, and he maintains and extends the existing data solution using Spark, all while contributing to core functions in the JavaScript, Node, and Scala backend. During this time he helped to grow the team from ~25 to 100+ people!

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Coding Temple

Instructor

Work Experience : 2018-2019
  • Collaborated with a fellow instructor to teach a project-based course in Python focused on language fundamentals, web development using Flask, and databases.
  • Instructed a data science portion of the course independently utilizing scikit-learn, pandas, numpy, and matplotlib.
  • Lead 2 courses in C#/.NET environment focused on web development using Entity and ASP.NET MVC frameworks.
  • Enhanced student experiences by managing syllabi revision, course planning, and student growth.
  • Assessed student performance and growth through exams, projects, and individualized instruction.
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Mathway

Software Developer / Mathematical Software Intern

Categories

Work Experience : 2013-2017

SOFTWARE DEVELOPER

  • Developed and researched machine learning systems in Python and Tensorflow, including a sequence to sequence autoencoder, state-of-the-art convolutional neural network, and multiple recurrent neural networks to augment core functionality.
  • Leveraged T-SQL and Python to develop statistical models and analyze business data.
  • Charted the successful development of small Android demonstrations for a machine learning project.
  • Maintained and oversaw individual and team project results in the main C# application as well as employed Agile methodology.

MATHEMATICAL SOFTWARE INTERN

  • Eliminated a large bottleneck in main user web application by innovating a numerical algorithm in C#, effectively boosting speed by eight times the original.
  • Revamped a toolkit for set manipulation and expanded set functionality to include abstract sets.
  • Resolved and identified major bugs in 15+ user-facing functions.
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OnSIP

Software Engineer

Work Experience : 2014-2016
  • Utilized Python, PHP, MySQL, AMQP, SIP PUBLISH/SUBSCRIBE/NOTIFY, and Cassandra to implement a real-time and historical event reporting architecture.
  • Constructed a featureful webphone application using Angular, SASS, and node technologies interfacing with a core API.
  • Repaired and resolved memory leaks and data inconsistencies in C-based core systems.
  • Played a key role in extending and assisting with PHP and XML-based REST API and billing system in MySQL and PHP.
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Garnegie Mellon Machine Learning Department

Researcher

Categories

Work Experience : 2014
  • Decreased the number of steps taken in KeyMaera Interactive Theorem Prover to prove a Cyber-Physical System correct by developing a comprehensive algorithm.
  • Implemented and tested the algorithm in Scala to prove correctness.
  • Demonstrated success in presenting research to professors and students at Meeting of the Minds.

Skills

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Carnegie Mellon Machine Learning Department

Researcher

Categories

Work Experience : 2012-2013
  • Worked with datasets containing 200K+ elements while implementing and testing algorithms in Python and MATLAB.
  • Studied research papers detailing state-of-the art machine learning algorithms for implementation.
  • Aligned objectives and bridged communications with neuroscientists to examine and determine effective clustering and presentation of brain data using MATLAB.

Skills

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