Malek Bezzina

- Designed and deployed a search engine based on Large Language Models (LLM) that uses Retrieval Augmented Generation (RAGs) to improve data retrieval and query responses. - Analyzed Supply Chain data, cleansed datasets, and developed visual analytics to effectively predict the bullwhip effect, optimizing forecast precision. - Oversaw the new interns thorough training and onboarding. Skills: Python, LLM, GenAI, Retrieval Augmented Generation, forecasting

- Developed interactive software for engineers to streamline their use of machine learning models, enhancing operational efficiency. - Refined software functionality and data processing based on continuous user feedback, boosting user satisfaction and system reliability. - Enhanced Data Management efficiency, enabling more informed strategic decision-making. Skills: Software Development, dash, plotly, Data Processing, Python

- Developed machine learning software for automatic pattern recognition in post-silicon measurements, enhancing outlier detection capabilities. - Data Pre-processing and analysis, including sourcing and cleaning, to support robust pattern recognition algorithms. - Implemented continuous labeling for image recognition, improving accuracy with historical data integration. Skills: Semiconductors, Python, Computer Vision, ML/DL, Data analysis, TenserFlow

- Implemented a machine learning based text generation software to automate real estate descriptions, enhancing listing efficiency. - Conducted web scraping to collect data on property descriptions, forming the basis for model training and development. - Designed a user-friendly interface that simplified keyword input for users, streamlining interactions and improving user experience. Skills: NLP, NLG, Text Generation, UI Design, BERT, T5, K2T, Python

- Led image annotation for car damage, setting the stage for model training with diverse damage types. - Built and refined a computer vision model to accurately detect car damage severity. - Enhanced model precision by varying damage classifications during testing, improving predictive performance. Skills: Image Annotation, TensorFlow, CNN, Mask RCNN, YOLO v3, Python, Computer Vision, Agile

Focus Area: ICT For Automotive And Domotics, Internet Of Things And Smart Cities, Statistics, Computer Vision, MLops, Internet

Focus Area: Machine learning, Neural Networks and Deep Learning, Foundation of Databases, Human Data Analytics, High-Level Programming (Python)

Focus Area: Cloud, Statistical Modeling, Development, Programming, Data science