Katia Oussar
Machine Learning Engineer
Master of Science in Computer Science
Kennedy College of Sciences
Machine Learning and AI
GenAI, RAG Systems and Chatbots
LLM’s and Natural Language Processing
Computer Vision
Skills
- Programming Language: Python (Strongest), C/C++, Java
- DL and GenAI Frameworks: PyTorch (Strongest), PyTorch Geometric, LangChain, LLamaIndex
Biography
Machine Learning Engineer with a diverse technical and scientific background. Highly skilled in mathematics and programming. Adores challenges and solving complex problems. Very enthusiastic about the future of AI technologies and excited to take part in it. I enjoy coding , reading and biking
Education
- MS (2023) Computer Science, University of Massachusetts Lowell, USA
- BS (2021) Electrical Engineering, Institute of Electrical and Electronic Engineering-IEEE, Algeria
Experiences
- Data Analyst, University of Massachusetts Lowell (Dec 2023- May 2024)
- Graduate Teaching Assistant, University of Massachusetts Lowell (Sep 2022- May 2023)
- Graduate Research Assistant, University of Massachusetts Lowell (Sep 2021- May 2022)
Selected Publications
- Experiential Learning for Interdisciplinary Education on Vestibular System Models, Available at: https://peer.asee.org/experiential-learning-for-interdisciplinary-education-on-vestibular-system-models
- Comparative Analysis of Segment Anything
Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography
Images, Available at : https://doi.org/10.48550/arXiv.2306.12510