Experience

ThreatFabric

• Netherlands
• Computer and Network Security
• 1 - 100 Employee

• Junior Data Scientist

  • May 2023 - Present

  • Machine Learning for Fraud Detection • Development of Behavioral Analytics AI system • Feature Engineering for Time-series • Model Interpretability • Machine Learning for Fraud Detection • Development of Behavioral Analytics AI system • Feature Engineering for Time-series • Model Interpretability



Workist

• Germany
• Software Development
• 1 - 100 Employee

• AI / Data Science Intern

  • Nov 2022 - Feb 2023

  • worked in the machine learning areas of Computer Vision and Natural Language Processing • developed a state-of-the-art text classification model using Transformers (BERT) with PyTorch and PyTorch Lightning • developed and optimized a Faster-RCNN model and training pipeline for Document Layout Analysis • established experimental tracking with Weights and Biases for multi-GPU Faster-RCNN trainings using Detectron2 and PyTorch Lightning • worked on dataset analytics for increasing data quality • worked on software engineering and data science workflows with tools such as GIT, SSH, Linux, VSCode, and Jupyter, while collaborating within an Agile team Show less



University of Toronto

• Canada
• Higher Education
• 700 & Above Employee

• Research Associate - Natural Language Processing

  • May 2022 - Sep 2022

  • conducted research in the area of Natural Language Processing and Human-in-the-Loop Machine Learning • developed transformer-based text classification models for hate speech detection • conducted research on different methods of Explainable AI (XAI) - LIME/SHAP • Aspect-Based Sentiment Analysis • topic modeling • conducted research in the area of Natural Language Processing and Human-in-the-Loop Machine Learning • developed transformer-based text classification models for hate speech detection • conducted research on different methods of Explainable AI (XAI) - LIME/SHAP • Aspect-Based Sentiment Analysis • topic modeling



Quizlet

• United States
• E-learning
• 200 - 300 Employee

• Content Contributor in Computer Science

  • Jan 2022 - Apr 2022

  • crafting and implementation of algorithms across a diverse range of disciplines, including Computer Architecture, Machine Learning, and Relational Databases • designed efficient solutions to complex tasks and challenges presented in academia • analyzed and compared solutions in multiple languages, leading to unparalleled optimization and efficiency in the development process • crafting and implementation of algorithms across a diverse range of disciplines, including Computer Architecture, Machine Learning, and Relational Databases • designed efficient solutions to complex tasks and challenges presented in academia • analyzed and compared solutions in multiple languages, leading to unparalleled optimization and efficiency in the development process



Photomath

• United States
• Software Development
• 200 - 300 Employee

• Math Animation Developer

  • Feb 2021 - Feb 2022

  • leveraged strong mathematical knowledge and coding skills to develop innovative solutions for transforming complex mathematical concepts into animations• collaborated closely with the product team to align animation development with overall product objectives and user needs• contributed to the development of cutting-edge educational technology, bridging the gap between math education and technology in the tech industry

• Data Annotator

  • Jan 2020 - Jan 2021