Machine Learning Engineer with experience in search systems, large language models, deep learning, computer vision, and speech recognition. Has worked on model development, data acquisition, testing, and deployment acros…
Machine Learning Engineer with experience in search systems, large language models, deep learning, computer vision, and speech recognition. Has worked on model development, data acquisition, testing, and deployment across remote roles, research, internships, and open-source contributions.
Led development of search engine using Large Language Models (LLMs), enhancing relevance.
Engineered algorithms to optimize search result ranking, boosting user engagement.
Orchestrated large-scale web scraping for data acquisition and model training.
Fine-tuned LLMs with V100 GPUs for efficient processing of datasets.
Built machine learning model for product categorization across various categories and subcategories.
Collaborated cross-functionally to align improvements with user needs.
Conducted rigorous testing to ensure performance and scalability.
Contributed to technical strategy for enhancing search capabilities.
As a Machine Learning Engineer, I lead initiatives to enhance user experience and engagement through innovative technology and strategic collaboration. Highlights of my role include:
* Developing a dynamic search engine using Large Language Models (LLMs), significantly improving relevance.
* Engineering algorithms to optimize search result ranking, boosting user engagement.
* Orchestrating large-scale web scraping for data acquisition and model training.
* Fine-tuning LLMs for efficient processing of datasets.
* Building machine learning models for product categorization, enhancing search accuracy.
* Collaborating cross-functionally to align improvements with user needs.
* Conducting rigorous testing to ensure performance and scalability.
* Contributing to technical strategy for enhancing search capabilities.
Engineered a text scoring system using deep learning for startup assessment, optimizing incubator evaluation.
Collaborated on system requirements, aligning with organizational goals.
Developed a marine creature detection system, enhancing research capabilities.
Instructed master’s students on system design for advanced computer vision techniques.
Assisted in the hardware design process of the Next Generation Smart-Grid Meter (NSGM), ensuring robustness and functionality.
Developed a C++ script to efficiently collect data from the NSGM and transmit it to cloud infrastructure, enhancing data accessibility and analysis.
Implemented a deep learning model using PyTorch to forecast power consumption of connected loads, contributing to energy management strategies.
Utilized variational autoencoder models for non-intrusive load monitoring, enhancing energy efficiency and grid management.
Designed and implemented an algorithm for harmonics and anomaly detection, bolstering grid stability and reliability.
Developed a prototype for an Arabic Automatic Speech Recognition (ASR) system.
Designed and implemented an encoder-decoder architecture based on the Transformer model for the custom acoustic model of the ASR prototype.
Implemented a language model that achieved a notable 12% Word Error Rate (WER) on the Mozilla Common Voice dataset.
Utilized Google Cloud Platform (GCP) with GPU for efficient model training, optimizing computational resources.
Collaborated with the development team to contribute the ASR prototype for integration into our chatbot, enabling transcription of received audio files.
Conceptualized and developed an intelligent assessment module utilizing Artificial Intelligence to detect cheating in online laboratory examinations by analyzing students’ mouse interaction behavior.
Employed various AI algorithms, including KNN, SVC, Random Forest, Logistic Regression, XGBoost, and LightGBM, to classify student behavior and identify cheating instances.
Conducted rigorous experiments involving students engaging in both honest and dishonest examination behaviors, validating the effectiveness of the proposed approach.
Achieved significant results with the LightGBM algorithm, attaining up to 90.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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