marichka-dobko/imglab

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

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

• Currently focusing on Gen AI and interested in multimodality

• 🧑‍🎓 Masters student at Cornell Tech - HelthTech program, NYC campus

• 📝 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

• 🫀 Cleerly - Data Science, part-time [May 2023 - February 2024]
• 🔬 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]
• 🔍 ML lab @ Ukrainian Catholic University - Computer Vision Researcher [July 2021 - June 2022]
• 💻 SoftServe - Machine Learning Engineer [July 2019 - July 2021]
• 🌐 ELEKS - Data Scientist, part-time [July 2018 - January 2019]
• 📊 Captain Growth - Junior Data Scientist, part-time [January 2018 - June 2018]
• 📷 Septa agency - Data Science Intern, part-time [September 2018 - January 2018]

Publications

• 4/19/2022 OpenGlue: Open Source Graph Neural Net Based Pipeline for Image Matching
• 3/28/2022 Mask Classification-based method for Polyps Segmentation and Detection / 4th International Endoscopic Computer Vision Challenge and Workshop (in conjunction with IEEE ISBI 2022)
• 10/15/2021 Combining CNNs With Transformer for Multimodal 3D MRI Brain Tumor Segmentation With Self-Supervised Pretraining / BraTS: Brain Tumor Segmentation Challenge / Brain Lesion 2021 MICCAI Workshop
• 8/25/2020 Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images / AIME 2020
• 6/13/2020 NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic Segmentation / LID workshop at CVPR 2020
• 3/2/2020 CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images / Computer Vision Winter Workshop 2020 (CVWW 2020)

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