As the CTO for a leading agricultural data science company, I oversee the development of innovative technology solutions that improve farm operations and reduce costs for our clients. My key responsibilities include:- Leading a team of 15+ employees, including data scientists, engineers, web developers and dev ops, to implement and maintain cutting-edge solutions that leverage advanced data science techniques such as computer vision and machine learning to improve crop management and pest control.- Implementing new processes to ensure consistent and high-quality output across all projects.- Training new managers on the development and implementation of data science solutions and team leadership.- Communicating technical concepts and findings to non-technical stakeholders through presentations, reports, and dashboards, ensuring that information is valuable and actionable.

As data scientist prototyped and created a machine learning platform that learns from time series of hundreds of operational and biophysical variables and generates crop yield forecast Data Science team leader of a computer vision / deep learning model to generate semantic segmentation maps of weeds presence across multiple crops (sugar cane, soybean etc) drone imagery .

Research and development of critical mission software requiring computer vision and computer graphics. The software is a neuronavigation system for computer aided surgery.Technical lead of a small team using technologies as Python, C++ and OpenCL.

Development of technologies to measure broadband internet quality.Data analysis of results from of tests, dealing with huge datasets.Creation of automatic network failure detection using machine learning.Development of a webservice for distributed data storage.Working with C(embedded), Java and Python(for data analysis) systems.

Freelance developer. Developing web application using python and Django.

Development of financial software.Technologies used include Java Server Faces, Spring, Maven and JPA.

Embeded software development.