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@piotr-semberecki
Robotics AI engineer at SoftServe building robot-learning, simulation and computer-vision systems with Python, C++, RL and imitation learning.
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Aug 2026 – Present
SoftServe · 4 mos
Designs and builds intelligent systems for mobile robots and robotic arms across simulated and real-world environments. Work spans foundation models, reinforcement and imitation learning, synthetic-data generation and computer vision in NVIDIA Isaac Sim, including NVIDIA Newton Physics engine optimisations.
Feb 2026 – Jul 2026
Wrocław University of Science and Technology
2015–2026 (year-only period listed in the export).
Wrocław University of Science and Technology
2014–2016 (year-only period listed in the export).
Developed agentic generative-AI solutions for document-correctness validation and semantic text matching. The profile also lists time-series anomaly detection for cellular networks.
Nov 2025 – Jul 2026
Contract / Freelance · 9 mos
Contracted with corporations and startups on generative AI and agents. Developed reinforcement-learning environments that simulate agent interactions, task objectives and performance-feedback loops; built environments for software-development agents with automated task generation and evaluation. Experimented with local deployment of DeepSeek, Kimi and Qwen for applications including robotics.
Jun 2019 – Dec 2025
SpyroSoft · 6 yrs 7 mos
Led solutions or contributed to multidisciplinary ML projects across computer vision and robotics. Projects included traffic-infrastructure data processing for automotive models; deep-learning building segmentation from satellite imagery; real-time depth-based obstacle detection for autonomous cleaning robots; and radar classification of road users using Pandas, NumPy and scikit-learn, followed by C++ optimisation. Built road-lane detection from 2D/3D point clouds, with clustering/polynomial fitting and OpenDRIVE output. Developed convolutional/recurrent gesture-recognition models, GPU training and TensorFlow Lite deployment on Android. Designed edge-AI/GPU performance-test pipelines using TensorFlow, PyTorch and CUDA C++ on NVIDIA Xavier.
Nov 2017 – May 2019
Tooploox · 1 yr 7 mos
Worked on ML/computer-vision solutions, GAN/custom-architecture research, client technical discussions and business proposals. Developed reinforcement-learning algorithms for refinery tank-scheduling problems, contributing to architecture and testing and being named as a patent co-inventor. Built bin-picking automation using KUKA robots, Intel RealSense cameras, Python and ROS; explored industrial deep-learning/anomaly-detection applications; developed anomaly-detection software for a three-depth-camera fitness/body-volume device; and built clothing-item detection and visual-style recommendation systems.
Nov 2016 – Jul 2017
Wrocław University of Science and Technology · Wrocław, Poland · 9 mos
Conducted doctoral research in machine learning, deep neural networks, NLP and computer vision and prepared research-grant proposals. Taught Python development through telecommunications-channel simulation, covering Forward Error Correction, Automatic Repeat Requests, Hamming codes and scrambling.
Jul 2014 – Sep 2016
Nokia Networks · Wrocław, Poland · 2 yrs 3 mos
Developed Python, MATLAB and C++ software for LTE physical-layer component testing, including framework design, test suites and Python–MATLAB pipelines. During an internal gamification project, built Python backend and Angular 2 frontend software.
Jul 2013 – Aug 2013
NeuroSoft PL · Wrocław, Poland · 2 mos
Developed an FPGA image-processing system over TCP/IP using VHDL and Verilog. Evaluated Ethernet/GigE image-processing performance through a VHDL histogram-equalisation implementation.
Wrocław University of Technology
2014–2015 (year-only period listed in the export).
Wrocław University of Technology
2010–2014 (year-only period listed in the export).
Wrocław University of Technology
2008–2012 (year-only period listed in the export).
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