# Peter Tountas

> Senior Software Engineer at Mastery Logistics Systems

Location: Greater Chicago Area, United States
Profile: https://flows.cv/petertountas

Frontend Skills: JavaScript, React, React Native, Backbone, CSS, SCSS, HTML
Backend Skills: Python, Golang, Kafka, Spark, SQL, Machine Learning
Cloud Computing Experience: AWS, AZURE
System Design Experience: Service-Oriented Architecture, Event Driven Design, Distributed Computing, CQRS

## Work Experience
### Senior Software Engineer @ Mastery Logistics Systems
Jan 2020 – Present | Chicago, Illinois, United States

### Lead Software Developer @ Mobilenurse
Jan 2017 – Present | Greater Chicago Area
Architected and engineered an application for the paramedical exam services industry. The application utilizes cutting edge software to drive the day to day logistics, coordination and communication of a mobile fleet of workers. The value proposition is a unified stack, to ingest paramedical orders, communicate within your business unit, coordinate with your prospective client, provide the best in person service, while giving the business entity full transparency into the status and events taking place, in real time. 

The value proposition for our mobile fleet, many of whom are registered nurses, firemen, firewomen, and nurse practitioners, monetize your days off working the hours you want. 

We will be launching our version 2.0 soon, we think you're going to love it. 

www.mobilenurse.io

### Software Engineer @ Shiftgig
Jan 2018 – Jan 2020 | Greater Chicago Area
Over 2,700 clients range from start-ups to enterprise operations. They rely on Shiftgig to easily fill and manage both long-term and temporary labor needs.

### Associate, Data Engineering & Trading @ PEAK6 Investments
Jan 2015 – Jan 2017 | Greater Chicago Area
A highly analytical role at the intersection of data science and trading. Daily work was based primarily in Python utilizing pandas and numpy statistical packages.  Introduced the idea of leveraging Python's Machine Learning module SciKit-Learn, Random Forest algorithms to classify potential trades across large multi-dimension datasets. Completed trading associate training, option theory and volatility arbitrage. 

- Placed in hybrid trading and technology role responsible for automation and building systematic trading workflows, heavy use of Python and SQL daily
- Initiated and led projects with development team to gather insights on large sets of financial data streams
- Created automated reports distributed firm wide on real-time data of option greeks, risk and PnL
- Introduced machine learning algorithms (random-forest) approach to classify potential trading opportunities
across real-time market data
- Created & managed databases and archived order flow to gain insights and trends utilizing Python and SQL
- SQL dialects used, PostgreSQL and Microsoft SQL Server

### Junior Trader @ Dash Financial
Jan 2011 – Jan 2015 | Greater Chicago Area
Junior trading role working under senior traders and PMs. 

- Covered PMs executing option and equity orders utilizing proprietary algorithms
- Effectively produced automated/ad hoc reporting of trades and internal risk utilizing python


## Education
### Bachelor of Science (B.S.)
University of Evansville
Jan 2007 – Jan 2010

### Applied Data Science in Machine Learning
General Assembly
Jan 2015


## Contact & Social
- LinkedIn: https://linkedin.com/in/peter-tountas
- Website: https://www.lateroundpick.io/

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Source: https://flows.cv/petertountas
JSON Resume: https://flows.cv/petertountas/resume.json
Last updated: 2026-03-22