💻
Artur Tanona

ML Engineer

Consulting, Natural Language Processing, MLOps, Freelance, Generative AI

Experience

  1. Machine Learning Engineer, Creator

    RenegAite
    See my open EU AI Act explorer at www.renegaite.com. It is “AI” / ML-powered RAG / LLM app that enhances boring regulation with data-driven insights.

  2. Machine Learning Engineer

    Self-employed, Freelance

    Several projects:

    • Intent classification, summarization and generation services with transformers in real-time
    • Finetuning of foundation models for conversational platform projects
    • Optimizing LLM latency to get 3x faster than baseline solution, giving 3x lower costs for inference
    • Supporting Ivy League university in Reinforcement Learning From Human Feedback solution
    • Creating and maintaining offline recommender systems that bring 10 mln EUR revenue per year
    • Design and implementing AB testing framework
    • Designing and maintaining data warehouse

    Tech stack: transformers, nlp, ray, gpt2, gpt-3, Django, fastAPI, flask, OpenAI, ChatGPT, Airflow, Llama-v2, AWS, Kubernetes, vim ;), GPT4, Falcon, recommendation algorithms, Databricks, AzureML, ChatGPT, LightFM, TensorRT, TensoRT-LLM

  3. MLOps Tech Lead / prev. Senior Python Developer

    Silent Eight
    • Design product from the perspective of combining software, operations and Data Science
    • Actively participate in architecture board meeting and planning
    • Coordinate work between different stakeholders
    • Code review
    • Responsible for tech stack used by Data Science Team
    • Design of model registries, dataset registries, MLOps pipelines

    Tech stack: Kubernetes, Jenkins, Spark, PySpark, Python3.X, Jupyter notebook, pandas, scikit-learn, decision trees, MLFlow, DVC, AWS

  4. Machine Learning Engineer

    Contentyze
    • Responsible for text generation, summarization and rephrasing algorithms and models
    • Develop and deploy llm prototypes
    • High autonomy and influence on data flow design and architecture

    Tech stack: Pytorch, Tensorflow, Transformers, AWS, deepspeed, Hugging Face, Airflow, Docker, Kubernetes, TensorRT

  5. Machine Learning Engineer and Cofounder

    inteliLex

    One of the winners of Global Legal Hackathon 2019

    • Responsible for anonymization algorithm
    • Training and looking for models suitable for lawyers and their needs based on state-of-the-art in Natural Language Processing (NLP) field
    • Training word and document vectors
    • Analysis of needs of potential customers

    Tech stack: git, flair, pytorch, Azure DevOps, REST, Python3.7, Docker

    Basic usage: Angular, C#

  6. Data Scientist

    Infosys
    • Preparation of working demo for sanction screening using NER tagger and gradient boost algorithms – FinTech and Bank
    • Maintenance of chatbot made on Azure Bot Service

    Tech stack git, flair, pytorch, Azure DevOps, gitlab, REST, Python3.8

  7. Software C++ Development Engineer

    Nokia Solutions and Networks
    • 4G multithreaded solutions in line with CPRI, OBSAI and eCPRI specifications
    • Unit testing in Google Test, module and system component tests in Robot Framework
    • Administration of server – Red Hat Enterprise Linux 7
    • Website for equipment’s maintenance and administration – Flask, subprocess
    • Ad hoc scripts for work automation

    Tech stack: Red Hat Enterprise Linux 7, C++ (std c++14, std c++17), QtCreator, python2.X, python3.X, bash, git, SVN, Jenkins, gerrit, Google Test, Robot Framework

  8. Assistant/consultant - tax law

    EY / Deloitte

    MK: “we did it to ourselves in order to know where not to work”, besides I learned:

    • How to work with people
    • How to sell myself
    • How to deal with clients

Education

  1. MS Computer Science

    University of Colorado Boulder
    I am doing this because I want to flex on guys who ended up with degrees from Polish universities.

  2. Master of Laws

    University of Wroclaw
    I don’t know why I did it to myself. Maybe to figure out what is the best way to learn.

  3. Interdisciplinary Humanities Studies

    University of Wroclaw
    My main specialization was in philosophy. Ended without degree because I was too busy with work.
Books I recommend

[These are affiliate links, but they are the best books I’ve read anyway.]

  1. Black Swan

    by Nassim Nicholas Taleb
    It is about the fact that we don’t know what we don’t know. Beware to position yourself in the Fourth Quadrant.
    See book
Awards, Positions and Conferences

  1. Automatic document anonimization with AI

    XX Forum of Administrators, Coordinators and Auditors (remote, Poland)

  2. Digitalization of business vs digitalization of law

    Legal Business Forum conference (Warsaw)

  3. Winner of Global Legal Hackathon 2019

    Global Legal Hackathon 2019 (Warsaw-New York)

  4. The President of The Interdisciplinary Research Circle

    University of Wroclaw

  5. Presenter at 4th Workshop of the Experimental Philosophy Group UK

    (University of Bristol)

  6. Laureate of Philosophical Olympiad and Laureate of Literature and Polish Language Olympiad

    Warsaw
Skills
95%
NLP
96%
Python