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Machine Learning engineer from Ukraine passionate in developing AI-powered products

  • Currently focusing on Gen AI and interested in multimodality

  • πŸ§‘β€πŸŽ“ Masters student at Cornell Tech - HelthTech program, NYC campus

  • πŸ“ I sometimes write articles on Medium blog

  • My Youtube

Recent projects

  • FitLoop - combining smart watch and Continous Glucose Monitor readings to precisely predict and alert people with Type 1 diabetes about low blood sugar during exercise.
  • InsureGPT - an LLM-based assistant that matches patient’s needs to the health policy. We scrapped and parsed over 100 PDFs and built a health insurance policy matcher.
  • Simplicaid - automates the Medicaid application process by pre-filling lengthy PDF form using user-provided documents, LLMs and OCR
  • Airocare - a tool for analysis of breathing patterns and generation of meaningful insights for asthma patients. Video

Work experience

  • πŸ«€ Cleerly - Data Science, part-time [May 2023 - February 2024]
  • πŸ”¬ ML research lab @ Cornell Tech - Grad student researcher, part-time [September 2022 - May 2023]
  • 🩻 Better Medicine - Deep Learning Engineer, part-time [March 2022 - July 2022]
  • πŸ” ML lab @ Ukrainian Catholic University - Computer Vision Researcher [July 2021 - June 2022]
  • πŸ’» SoftServe - Machine Learning Engineer [July 2019 - July 2021]
  • 🌐 ELEKS - Data Scientist, part-time [July 2018 - January 2019]
  • πŸ“Š Captain Growth - Junior Data Scientist, part-time [January 2018 - June 2018]
  • πŸ“· Septa agency - Data Science Intern, part-time [September 2018 - January 2018]

Publications

Connect with me:

maria-dobko @dobko_m @dobko_m

Languages and Tools:

opencv pandas python pytorch scikit_learn seaborn tensorflow

Maria Dobko's Projects

affnet icon affnet

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

food-habits-tendencies icon food-habits-tendencies

Analysis of nutritional habits over the years using clustering and dimensionality reduction methods.

gpt-vlu icon gpt-vlu

Testing GPT's ability to solve Visual Language Understanding tasks

hearttransplant icon hearttransplant

Estimating sizes of the hearts and their fit between donors and patients

imglab icon imglab

To speedup and simplify image labeling/ annotation process with multiple supported formats.

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