AI Consultant Umeå, Sweden

Available ASAP

(Updated 2024-02-12)

AI Consultant

Umeå, Sweden

Native Svenska, English

  • Expertise of data science and machine learning for business applications
  • 10+ years of Python software development
  • 10+ years experience in AI development

Skills (44)

Machine Learning

Excellent Written and Verbal Communication Skills

Python

WRITTEN AND VERBAL

PATENT

ChatGPT

Retrieval Augmented Generation

LLMs

INTELLECTUAL PROPERTY

Deep Learning

COMPUTER VISION

Chatbot

NEURAL NETWORKS

GENAI

Pytorch

large language models

ANOMALY DETECTION

Generative AI

OPENCV

DATA SCIENCE

PANDAS

TEACHING

BIOTECHNOLOGY

SEMANTIC

PREDICTIVE MAINTENANCE

NEURAL

SCRIPTING

Project Management

SOFTWARE DEVELOPMENT

LIFE SCIENCES

SEGMENTATION

Data Analysis

DevOps

FastAPI

SQL

SHELL SCRIPTING

BIOINFORMATICS

Stable Diffusion

OPEN SOURCE

Bash

Flask

TENSORFLOW

NEUROSCIENCE

STRUCTURED SOFTWARE

Summary

Self-employed consultant with 10+ years professional experience of applied machine learning (ML) and artificial intelligence (AI) development developing AI-applications from idea to product. Offering comprehensive services in development as well as helping  clients define AI-strategy together with business stakeholders and manage projects to delivery, and communicate cross-functionally to various audiences, including C-level executives, experts and non-specialists. 

Professional Experience

Founder, AI consultant
Self-employed

2023-02 - Present

consultant with 10+ years professional experience of applied machine learning (ML) and artificial intelligence (AI) development developing AI-applications from idea to product. Offering comprehensive services in development as well as helping clients define AI-strategy together with business stakeholders and manage projects to delivery, and communicate cross-functionally to various audiences, including C-level executives, experts and non-specialists.


EXPERIENCE SynGen AI Technologies, Umeå, Sweden Founder, AI consultant Feb 2023 - Present ● Business owner - Offers services to help clients use AI to improve their business from idea to implementation including workshops, counseling, project management and implementation

Consultant - Applied ML Scientist & Product Lead
CellVoyant Technologies

2023-02 - Present

Leads product strategy to launch the company's first AI-enabled service using deep learning-based computer vision to analyze microscopic images of cell cultures ● Develops algorithms to analyze microscopic image time-lapses of cells using Python, Pytorch, Google Cloud Platform, PostgreSQL and more ● Helps the company develop an IP-strategy and filed the company's first patent application
Senior Scientist
Sartorius

2019-11 - 2023-02

● Managed team of 6 machine learning-researchers/engineers in Sartorius Corporate Research ● Led early R&D in AI in where responsibilities included: ○ Define AI-strategy with senior management and advise product development ○ Manage 10+ research projects developing machine learning, deep learning, computer vision and data science methods including: * Deep learning-based instance segmentation of cells in microscopic images and determine whether they are alive, later released as product * Data infrastructure and automatic model deployment on Azure to semi-automatically annotate microscopic images.
○ Communicate externally - For instance publish the world's largest open source image dataset for cell segmentation, featured in the Medicine Maker -magazine ○ Generate intellectual property - Filed 15+ patents within machine learning ● Supervised and mentored junior colleagues (2 full time and 4 interns), MSc-students (6 total)
Scientist
Sartorius

2018-07 - 2019-11

Introduced deep learning as a technology by implementing the company's first convolutional neural networks for semantic segmentation of microscopic images, and later led handover to product development of Sartorius first AI-product ●

 

● Conducted deep learning research and implemented proof-of-concept applications including: ○ Trained a BERT-based classifier in Pytorch for an internal document categorization-system that reduces manual workload by 70%.

● Implemented processes for large-scale collection, storage, and annotation of image datasets, which was then used for all deep learning-projects within the company

PhD Student
Umeå University

2016-06 - 2018-06

● Conducted full time research in machine learning and multivariate data analysis in collaboration with both industry and academic partners ● Taught undergraduate courses in design of experiments and multivariate data analysis ● Supervised an undergraduate researcher in data analysis
Project Assistant
Umeå University

2014-06 - 2016-05

● Developed data visualization software for metabolomics-studies using Python, PyQt, pandas ● Provided data science support in research projects using pandas, matplotlib, scikit-learn.

Academic Background

Doctor of Philosophy, Computational Science
Umeå University

2016-06 - 2021-05

Master of Science, Bioinformatics
Umeå University

2010-06 - 2015-06

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