Open to opportunities

Alexander Dolokov

@alexanderdolokov

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Expert on Computer Vision and Artificial Intelligence with entrepreneurial mindset.

Germany

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my expertise in AI and computer vision to drive impactful projects.

I am an expert in Computer Vision (CV) and Artificial Intelligence (AI), with over 15 years of experience in Python and a strong entrepreneurial mindset. As the former Founder and CTO of an AI startup, I have led teams of up to 12 members, driving innovative projects that leverage cutting-edge technologies to optimize workflows and enhance decision-making processes.

Throughout my career, I have developed and deployed advanced computer vision systems, including real-time data streaming solutions and custom tracking frameworks. My work has resulted in significant cost savings and efficiency improvements for clients, exemplified by my contributions to the real estate industry through deep learning-based applications. I am passionate about mentoring and leading teams, ensuring high-quality project execution while fostering a collaborative environment.

Experience

Work history, roles, and key accomplishments

Team Lead Computer Vision Algorithms

Precibake

Aug 2021 - Apr 2024 (2 years 8 months)

Led the development of computer vision systems for freshness monitoring and upsale detection. Managed a team of 6, deploying edge-based solutions with real-time data streaming and engineered custom tracking frameworks for enhanced detection accuracy.

Computer Vision Python TensorFlow Kafka Team Leadership Algorithm Development Project Management Quality Control

Senior Software Developer

Hellsicht

Jan 2021 - Jun 2021 (5 months)

Worked on multiple object tracking for UAVs, focusing on research and applications of various tracking algorithms and sensor fusion techniques for drone swarms.

Multi Object Tracking UAV Software Development Python C++Team Collaboration

Founder & CTO

VRnow

Nov 2014 - Dec 2019 (5 years 1 month)

Founded a startup to leverage deep learning in computer vision for the real estate industry. Developed products for automatic detection of architectural elements and created a platform for enhanced customer decision-making.

Deep Learning Computer Vision Python TensorFlow Product Development Team Leadership Automation Object Detection Business Strategy

Student Research Assistant

TU Berlin

Apr 2014 - Oct 2014 (6 months)

Assisted in the Computational Biology group, utilizing machine learning and robotics kinematics to simulate peptide chain folding. Developed automated pipelines and visualization tools.

Machine Learning Python Research Automation Data Visualization Team Collaboration Robotics Computational Biology Distributed Computing

Software Developer

ATN - Automatisierungstechnik Niemeier GmbH

Nov 2012 - Mar 2014 (1 year 4 months)

Developed computer vision and control code for custom automation machines, focusing on robotic manipulation and assembly line processes.

Computer Vision Robotics OpenCV Software Development Automation Python Team Collaboration

Education

Degrees, certifications, and relevant coursework

TU Berlin

Research Assistant, Computational Biology

2014 - 2014

Worked as a student research assistant in the Computational Biology group, utilizing Machine Learning and robotics kinematics to simulate peptide chain folding. Contributed to an automated pipeline and assisted in paper reviews.

Friedrich Schiller University Jena

Bachelor's Degree, Computer Science & Mathematics

Bachelor's degree in Computer Science & Mathematics, focusing on parallelization of the Schreckenberg-Nagel model using OpenCL. This program provided a solid foundation in computational theories and practices.

Technical University Berlin

Master's Degree, Computer Science & Mathematics

Masters in Computer Science & Mathematics with a thesis on tracking multiple animals using Convolutional Neural Nets. Focused on Machine Learning, Computer Vision, and Robotics, with coursework in Projective Geometry, Photogrammetry, and Deep Learning. The publication was awarded the Best Poster Award at VISAPP 2023.