Derek Tishler
Founder at BoxMica
Greater Palm Bay-Melbourne-Titusville Area United States
Summary
👤
Senior🎓
Top SchoolDerek Tishler is a founder and software engineer with 14 years of experience building AI-driven products and mission-critical systems, currently leading BoxMica to deliver time-sensitive satellite monitoring as Intelligence-as-a-Service. He blends deep hands-on engineering—from Unity-based VR apps that reached millions of downloads to back-end algorithmic trading work—with applied machine learning expertise in reinforcement learning and genetic algorithms. Derek founded multiple startups (Tishler Capital, Frag, DMT Source) and advised AI-focused ventures on product architecture and commercialization, demonstrating both technical depth and business acumen. His open-source contributions include extending QuantConnect’s Lean trading engine and building full-stack machine-learning forecasting tools, reflecting a practical focus on reproducible, test-covered systems. Based in the Greater Palm Bay–Melbourne area, he combines physics training from UCF with real-world HPC, analytics, and cloud experience, a background that fuels his interdisciplinary approach to geospatial intelligence. An underappreciated strength is his track record of turning experimental research code into production-grade services that serve enterprise and defense customers.
14 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at University of Central Florida
English
Github Skills (13)
algorithm10
finance10
trading-algorithms10
python10
algorithmic-trading10
trading10
csharp9
dotnet-core9
javascript9
polymer9
html9
google-app-engine8
machine-learning7
Programming languages (8)
Github contributions (5)
DMTSource/daily-stock-forecast
Jan 2015 - Mar 2018
Daily Stock Forecasts using Machine Learning & Python
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:53 commits, 51 pushes, 1 branch in 3 years 2 months
Contributions summary:Derek appears to have been involved in both front-end and back-end development. Their initial commit introduces both the front-end and back-end code for the daily-stock-forecast project. Subsequent commits focus on updating and refining the front-end user interface, as evidenced by changes to the HTML and Polymer-based components. They also made backend adjustments, including header information updates and model refinements.
pythondata-sciencepython-machine-learningmachine-learningforecasts
QuantConnect/Lean
Oct 2017 - Dec 2017
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Role in this project:Back-end Developer & Algorithm Engineer
Back-end Developer & Algorithm EngineerContributions:8 commits, 8 PRs, 12 comments in 2 months
Contributions summary:Derek primarily focused on extending the algorithmic trading engine by incorporating new tests and refining existing functionality. They implemented a new test for the DEAP (Distributed Evolutionary Algorithms in Python) library, showcasing an understanding of evolutionary algorithms within the trading context. The user also addressed a missing initialization in a test and updated the display signal for Ether, demonstrating a focus on detail and maintenance of the codebase. Furthermore, they updated a Python file to match an existing C# example.
algorithmic-trading-enginepythonpinescriptbacktesting-trading-strategiesc-sharp
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