AI Consultant Umeå, Sweden

Might be available

(Updated 2024-02-12)

AI Consultant

Umeå, Sweden

Native Svenska, English

  • MSc in Computer Science specialized towards AI and NLP
  • 4+ years of industry experience
  • 7+ years of Python and Data Science Experience

Skills (22)

NEURAL NETWORKS

SCRAPING

MICROSOFT OFFICE

NLP

PIPELINE

Deep Learning

PUBLISHING

Machine Learning

Natural Language Processing

Pytorch

PATENTS

Python

TEACHING

KERAS

Azure

OBJECT ORIENTED PROGRAMMING

INTERACTION DESIGN

SHELL SCRIPTING

Java

Bash

ROBOT OPERATING SYSTEM

ROBOTICS

Professional Experience

Language Model Research Scientist
Sartorius Corporate Research

2020-01 - 2023-01

As a language modelling researcher, I have gained experience in successfully identifying and applying state-of-the-art language processing techniques to classify patents. In addition, I gained experience in collaborating internally within Sartorius and externally with collaborators to successfully deliver a deep learning solution that will be provided as a service to customers. Furthermore, I diversified by branching out into protein language modelling and was able to identify key issues and solutions for a high value protein dataset using language models.
Acquired skills & achievements: {Provided several deep learning models able to successfully classify patents within several different technological fields and language models able to identify issues in protein datasets {Filed a patent application based on the patent workflow designed during the patent categorization collaboration {Experience working with several contemporary libraries and technologies, such as ChatGPT, Microsoft Azure, OpenAI, AzureML, AzureDevOps, FLAIR and Streamlit {Experience conducting pilot studies and handing over code to external partners
AI Consultant
SynGen AI Technologies

2023-01 - 2023-01

As an AI consultant I assist clients with developing and deploying proof-of-concept applications based on Large Language Models (LLMs) and Stable Diffusion, amongst other deep learning methods. I also assist clients in deploying these applications in the online platform Anvil Works, which involves setting up database and user profile management.
Acquired skills & achievements: {Experience utilizing web-scraping tools to extract information and then transform the information using LLMs {Experience training custom Stable Diffusion LoRA models and building Stable Diffusion pipeline {Experience creating and deploying retrieval augemented chatbot applications, able to formulate questions and answers based on client data using OpenAI, LangChain and Anvil Works {Experience interacting with clients and maintaining client ideas and developing them into value-providing applications {Experience in the start-up ecosystem, designing pitch decks and helping to secure funding from investors
Accelerated Document Categorization

2022-01 - 2022-01

Using Machine Learning, U.S. Patent 20220309089A1
Research Associate in Artificial Intelligence
Technology group

2016-01 - 2020-01

Univerity's Knowledge Technology group, Hamburg.
As a researcher in the SOCRATES EU research project, I have experience in designing, training, and integrating deep learning systems into robots in real-world Human-Robot interactions.
Furthermore, I have gained skills in publishing academic papers at notable conferences, primarily in the fields of artificial intelligence, neural networks, deep learning, and Human-Robot interaction.
Acquired skills & achievements: {Several publications on the topics of deep learning, natural language processing, and Human- Robot Interaction design {Practical experience building modular systems for social agents using tools such as the Pepper robot, ROS, PyTorch, GIT, and spaCy {Experience working, collaborating, and delivering in a Horizon 2020 Marie Curie research project
General chair of the PhD Conference
Safe and Social Robotics

2018-01 - 2018-01

{Experience conducting user studies, applying for ethical consent, and adhering to GDPR {Successful supervision of three students at Bachelor and Master level on the topic of deep learning {Experience in proposal and grant writing
Computer Science Teaching Assistant, Umeå Univerity's Computer Science
Umeå University I

2015-01 - 2016-01

Department, Umeå.
During my time as a student at Umeå University I worked as a teaching assistant. This taught me skills such as student supervision, holding group exercises, and assignment grading. It has given me a change of perspective both as a student and as a teacher. Furthermore my role as a teacher has made my grasp of fundamental programming principles highly robust.
Courses where I have taught, advised, and graded students: {Data structures and algorithms, C {Data structures and algorithms, Python {Object Oriented Programming Methodology {Application development in Java {Application development in Python {Development of Mobile Applications {Fundamentals of Artificial Intelligence

Academic Background

BSc
Umeå University

2024-07 - 2024-07

MSc
Umeå University

2014-01 - 2016-01

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