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Rafal
Pytel

Deep Learning Expert

Software Engineer

LLM Wizard

Hi! I have extensive experience in AI, particularly in the fields of Computer Vision and Natural Language Processing. I will help you upgrade your business to another AI-driven age! Lets have a talk about it!.
Contact Me
About Me
My story
From early on, I was drawn to building things that work—first through software engineering, and later, machine learning. My journey into AI began not with theory, but with curiosity: Could machines learn to see? To decide? To help? That curiosity evolved into a career focused on pragmatic AI—solutions that work in the real world, not just in benchmarks.
I’ve since applied ML to problems as varied as crop yield prediction, prostate cancer detection, and customer service automation. What motivates me is impact: whether it’s reducing onboarding time for clients by 95% or explaining AI decisions in a way people can trust.
I thrive in interdisciplinary, client-facing environments where real-world constraints meet advanced tech. I enjoy leading teams, bridging the gap between engineering and product, and sharing what I learn through blogs, talks, and open-source.
AI is evolving fast—and I’m here for it. I believe in pushing the boundaries responsibly, combining cutting-edge tools with grounded thinking to build systems that make a difference.
    Services
    What I offer
    AI POC
    Project

    Given your idea, I can help you to design and implement a Proof of Concept to validate the idea for aplying ML at your bussiness.

    MLOPS
    as a Service

    You have your model ready, but you don't know how to deploy it? I can help you with that.

    ML
    Workshops

    We can explore your ideas or problems to solve them with AI during 2 days intense workshop session.

    Team
    extension

    I can enrich your team with my expertise in AI, Computer Vision and Natural Language Processing.

    ML
    Audit

    I can identify problematic parts of your ML project and design repiair plan to solve it.

    LLMs
    & Chatbots

    We can unleash the power of LLMs and chatbots at your company.

    Experience
    Working as
    2025-Present
    AI Engineer
    Zowie

    Reduced client onboarding data requirements by 95% by implementing a GenAI-based intent routing system.

    2022-Present
    ML Lead
    ReasonField Lab

    Directed the development of an open-source Explainable AI library in Computer Vision, leading a team of 4 ML Engineers.
    Directed a 3-person team over 5 months to build a RAG-based internal chatbot with access to Scala documentation.

    2022-2024
    ML Full Stack Engineer
    QEF/Famateq

    Scaled vegetable sorting software (C++, Python, Vue.js) from a single machine to multi-unit deployments with minimal HPC infrastructure and cost.
    Enhanced ML observability in production by integrating GradCAM into live traffic with minimal processing overhead.

    2020-2022
    Senior ML Engineer
    QEF Electronics

    Leading research & development of the Computer Vision part in SOTA vegetable sorting machines. Improved data pipeline to decrease training time by 40%. Implemented variety of model interpretation tools(e.g. UMAP, GradCam). Introduced a 25% improvement in the throughput of images by enabling and implementing advanced features for GeniCAM cameras.

    2020
    ML Fellow
    Fellowship.ai

    Implemented a self-supervised algorithm called FixMatch as an E2E service in AWS for easy and quick use for ongoing Computer Vision projects

    2019
    Data Scientist
    Leaseplan

    Part of the Data Science Group in Safe Driving Challenge.
    Conducted a comprehensive data analysis, to identify potential clusters among Leaseplan’s customers and decide which of them would be the most attractive to target. I also supervised other members and operated as a Team Leader.

    2016-2018
    Software Developer
    Efinity

    Implemented various insurance offerings for clients across the World.

    Education
    Studied at
    2018-2020
    Delft University
    of Technology

    MSc in Computer Science.
    Thesis done under the supervision of Jan van Gemert in TU Delft's Computer Vision Lab in area of Human Pose Estimation.

    2014-2018
    Warsaw University
    of Technology

    BEng Teleinformatics.
    Bachelor Thesis: Firewall using Service Function Chaining, Designing, implementing and testing firewall in SDN based environment

    AI Skills
    In which areas I specialize
    • Computer Vision
      100%

      I specialize mainly in Computer Vision. I have completed multiple long term projects, publications and follow latest advancements. I am familiar with all the latest advancements in this field.

    • Natural Language Processing
      100%

      I have developled multiple chatbots and I also follow research in that area. I have experience with overcoming majority of the challenges while developing systems using LLMs.

    • Recommendation Systems
      80%

      I have developed system for multimedia search and recommendation system and I also took part in conference challenge in this area. I am up to date with advancements in that field.

    • Machine Learning
      80%

      I have completed multiple short-term projects (2-3 months) in this field, mainly in the area of fintech and ecommerce.

    Coding Skills
    Developing on
    • 100%
      Python

      This is my main langage I have been working with every day for the past 5 years (less often for past 8).

    • 100%
      Pytorch

      This is my most often used framework. I have been using it for the past 5 years.

    • 90%
      Tensorflow

      This is my second most used framework. I have been using it for the past 4 years: both in research and in production.

    • 90%
      AWS/GCP

      I have been working on few projects, which were deployed on AWS or GCP. I am currently working to get certification in both.

    • 85%
      C++

      I have extensively worked with integration of Triton Inference Server with GeniCAM cameras, while operating in time constrained multithreaded enviroment.

    • 70%
      JS, Vue, HTML, CSS

      I have been working on few projects with these technologies and I am familiar with their inner-mechanisms.

    Clients
    With whom I have worked
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    Reviews
    What customers say
    Jan Fasse
    Jan Fasse
    Cofounder @ Famateq

    It is always nice to work with Rafal. We know him as a real expert and good at communicating.

    Rafal helped us expand our application with a monitoring application, which gave us insight into the progress and allowed us to improve quality.

    Maciej Adamiak
    Maciej Adamiak
    CEO @ Reasonfield Lab

    I highly recommend Rafał as a machine learning engineer. His skills in designing and implementing complex algorithms have contributed significantly to the company’s work. His ability to communicate concepts clearly and concisely fosters effective collaboration within cross-functional teams. Rafał's eagerness for continuous learning and staying up-to-date with the latest advancements in the field makes him an invaluable asset. I wholeheartedly endorse him for any organization seeking a talented and dedicated machine learning engineer.

    Contact
    Let's talk
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    Rafal Pytel
    Deep Learning Expert
    • E-mail: contact@rpytel.ai