À propos de Konstantin
Robotics and Computer Vision Engineer with an MSc from EPFL and hands-on experience in medical imaging and autonomous systems.
At SamanTree Medical, I developed image quality assessment algorithms for histological scanners, working at the intersection of computer vision, machine learning, and medical device calibration. This taught me how to build reliable systems where precision genuinely matters.
Beyond technical work, I have experienced the full arc of building something from scratch, from early product decisions to working with a team under real constraints. I am drawn to environments where engineering and real-world impact meet.
My core skills include computer vision, image processing, Python, C++, deep learning, and robotics system design.
I am currently open to remote roles and collaborations in computer vision, medical robotics, or applied ML, particularly with teams that care about building things that actually work.
Open to connecting with engineers, founders, and researchers working on hard problems.
Bulgare
Bilingue ou natif
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Espagnol
Capacité professionnelle limitée
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- SierraEchoFounding EngeneerDÉFENSE & ARMÉEseptembre 2025 - mars 2026 (6 mois)Lausanne, SuisseBuilt a platform from the ground up to help businesses discover tendering opportunities and manage the full document lifecycle of the tendering process.Led both product decisions and technical execution across the full stack. Core work included web scraping pipelines for automated opportunity discovery, document parsing and analysis, and AI-powered features to streamline tender management.Technologies: Python, React, REST APIs, SQL, web scraping, document processing, LLM integration.
- SamanTree Medical SAComputer Vision & Image Analysis Internfévrier 2025 - février 2026 (1 an)• • Designed classical image analysis algorithms for medical image quality assessment (Python).• • Optimized the computational pipeline, reducing processing time and improving accuracy.• • Refactored Python code to C++ and imple mented a test framework to ensure result con sistency.• • Performed parameter tuning and validation on large datasets, enhancing robustness.
- EPFL Xplore Robotics TeamResearch and Developmentjanvier 2022 - janvier 2024 (2 ans)• • Developed CV and ML algorithms for object de tection using synthetic data.• • Designed and manufactured robotic arm joints for the handling device.
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Formations
- M.Sc.M.Sc.
- EPFL M.Sc.2026EPFL M.Sc.