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Paweł Pierzchlewicz Email & Phone Number

Head of Artificial Intelligence at TeaCode.io

Location: Gdańsk, Pomorskie, Poland 10 work roles 4 schools

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✓ Verified Jul 2026 3 data sources Profile completeness 86%

Current company

TeaCode.io

Role

Head of Artificial Intelligence

Location

Gdańsk, Pomorskie, Poland

Company size

13 employees

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Paweł Pierzchlewicz is listed as Head of Artificial Intelligence at TeaCode.io, a with 13 employees, based in Gdańsk, Pomorskie, Poland. AeroLeads shows a matched LinkedIn profile for Paweł Pierzchlewicz.

Paweł Pierzchlewicz previously worked as Machine Learning Researcher at University Of Tuebingen and Machine Learning Engineer at Teacode.Io. Paweł Pierzchlewicz holds Doctor Of Philosophy - Phd, Machine Learning from The University Of Göttingen.

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About Paweł Pierzchlewicz

As a seasoned Machine Learning Researcher at the University of Tuebingen and a PhD candidate at The University of Göttingen, I'm dedicated to pushing the boundaries of machine learning to solve complex problems. My expertise lies in developing cutting-edge diffusion models for intricate inverse problems such as 3D pose estimation, leveraging the power of PyTorch, transformers, convolutional neural networks (CNNs), and other deep learning techniques.With a focus on computer vision and transformer architectures, I have a proven track record of delivering state-of-the-art solutions. Notably, I spearheaded the development of an ML-driven travel itinerary planner that significantly reduced planning latency, alongside crafting a recommendation system handling high daily request volumes. These achievements underscore not only my technical prowess but also my ability to create impactful machine learning applications that drive tangible results.Driven by a passion for innovation and a commitment to collaborative success, I am poised to continue leveraging advanced machine learning methodologies, to address real-world challenges. Let's connect to explore how my skills and experience in PyTorch, deep learning, computer vision, and deep learning can contribute to your team's success in the dynamic field of artificial intelligence.

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Teacode.Io

Head of Artificial Intelligence

warsaw, mazovia, poland

Website

teacode.io

Employees

13

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10 roles

Paweł Pierzchlewicz work experience

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Head Of Artificial Intelligence

Current

Teacode.Io

Gdańsk, Pomorskie, Poland

Oct 2024 - Present

Machine Learning Researcher

University Of Tuebingen

Göttingen, Lower Saxony, Germany

- Designed novel methods using diffusion models for modeling inverse problems e.g. 3D pose estimation, achieving state-of-the-art performance.- Built a state-of-the-art vision attention model for neural encoding and a transformer model for pose.- Tutored the Probabilistic Machine Learning course for 3 years

Sep 2021 - Sep 2024

Machine Learning Engineer

Teacode.Io

Göttingen, Lower Saxony, Germany

- Led the development of an ML-driven travel itinerary planner using TensorFlow.js, collaborating closely with the client to ensure client satisfaction and timely delivery. Resulted in a 75% decrease in itinerary planning latency (below 30s).- Developed a flexible recommendation system for social media platforms, leveraging Neo4j with 5k daily requests.- Conducted technical sales calls with prospective clients and led meetings with technical and non-technical stakeholders, contributing to acquiring high-value clients and high client satisfaction.

Oct 2021 - Jan 2023

Machine Learning Research Assistant

Eberhard Karls Universität Tübingen

Tubingen I Okolice

- Designed and built a robust data analysis pipeline using Python and PyTorch, enabling automated same-day experimentation and model training in a closed-loop paradigm, reducing data processing, model, and synthesis time to just 6h.- Created a novel method for optimizing parametric stimuli for in-silico vision neuroscience experiments, allowing testing new hypotheses in vision neuroscience.- Trained deep convolutional neural networks on neural activity data, achieving state-of-the-art performance.- Collaborated closely with cross-functional teams and external research partners

Mar 2021 - May 2021

Research Assistant

Max Planck Institute For Biological Cybernetics

Tübingen Area, Germany

Department of Computational NeurosciencePI: Prof. Peter DayanProject: Computational models of addiction.Supervisor: Dr Kevin Lloyd- Developed and implemented novel probabilistic reinforcement learning models to explain addiction behavior in mice.- Analyzed and implemented existing models as benchmarks, enhancing the research framework and validation process

Jan 2020 - Sep 2020