Jev Kuznetsov
System Control Architect at Frencken Europe B.V.
Limburg, Netherlands
Summary
👤
Senior🎓
Top SchoolJev Kuznetsov is a System Control Architect and serial founder with 14 years of experience designing machine vision, control systems, and robotics for industrial and agricultural applications. He built and led multidisciplinary teams at Océ/Canon and later founded AIGRO and ROX Automation to make autonomous, electric, and herbicide-free farm machinery practical and affordable. At AIGRO he drove end-to-end product and software architecture culminating in RTK-GPS navigation and customer trials for an autonomous weed-management robot, and now focuses on open, easy-to-use hardware and software at ROX. His background spans research physics to product delivery, combining deep technical expertise in image processing and control with hands-on engineering and business leadership. He also contributes practical Python tooling for quantitative workflows on GitHub, reflecting a pragmatic approach to reusable back-end code and documentation. Based in Limburg, Netherlands, Jev aims to accelerate sustainable agriculture by simplifying robotics development for machine builders.
14 years of coding experience
9 years of employment as a software developer
VWO, VWO at Hugo Grotius CollegeMSc, Applied Physics, MSc, Applied Physics at Delft University of Technology
Stackoverflow
1,183reputation
767kreached
13answers
1question
anaconda
top-5%
conda
top-5%
Github Skills (16)
pandas10
interactive-brokers10
api10
back-end-development10
python10
anaconda9
conda9
quantitative-trading9
apim9
autocomplete6
finance6
yahoo-finance6
attribute6
interpolation6
tab-completion6
Programming languages (6)
Github contributions (5)
sjev/trading-with-python
Mar 2015 - May 2022
Code that is (re)usable in in daily tasks involving development of quantitative trading strategies.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:119 commits, 113 pushes, 15 branches in 7 years 2 months
Contributions summary:Jev added core functionality for quantitative trading strategies using Python. Contributions include the creation of common handlers, such as account and portfolio handlers, and the integration of external libraries like `pandas`. They also added example scripts for retrieving portfolio and order data through Interactive Brokers, demonstrating the use of the developed handlers. Furthermore, the user worked on versioning and documentation, establishing the groundwork for code usability.
daily-tasksstock-marketstock-tradingpythonalgorithmic-trading
zbanga/trading-with-python
Oct 2011 - Feb 2015
Contributions:140 commits in 3 years 4 months
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