• Implemented a data collection system, utilizing MediaPipe holistic keypoints, capturing diverse hand gestures and movements essential for model training.• Employed advanced data augmentation techniques to enrich Asher's dataset, ensuring robustness and diversity in training samples.• Developed a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) architecture tailored for the complexities of ArSL recognition and interpretation.• Integrated a translation system featuring contextual phrase generation, enabling Asher to provide nuanced and contextually relevant translations of ArSL gestures into Arabic text.• Collaborated with local deaf organizations, to enhance Asher’s capabilities and expand its reach.• Partnered with local businesses, to tailor the translator for specific industry-related sign language needs.

• Managed a CRM system and optimized workflows to process client bookings, enhance data organization, and automate key processes, significantly improving operational efficiency.• Developed and implemented CV generation algorithms tailored specifically to assist pharmacists in improving and refining their resumes, supporting career growth and professional development.• Trained and fine-tuned custom Large Language Models (LLMs), leveraging state-of-the-art frameworks to build tailored conversational AI solutions for specific business needs.• Built transcription algorithms capable of accurately processing and transcribing hours of video content.• Developed scalable data scraping algorithms for extracting and analyzing large volumes of structured and unstructured data from diverse web sources, contributing to actionable insights and decision-making.• Spearheaded initiatives to integrate cutting-edge AI and automation technologies across projects, ensuring alignment with business objectives and delivering measurable outcomes.

• Execute data segmentation and organization tailored to neural network specifications. • Refine sign language translator through compiling and organizing an extensive dataset of sign language gestures for major international deals.• Employed advanced methodologies to ensure data accuracy and efficiency.

• Compiled and organized an extensive dataset of sign language gestures, contributing to the development of the We Hear You American Sign Language (ASL) Translator• Sharpened and used a Google Colab script to preprocess and extract landmark features from the sign language data, enabling accurate data representation for models.• Spearheaded the creation of a compact ASL translator prototype by integrating a developed model, allowing real-time translation of sign gestures to text.• Actively participated in debugging and error resolution, swiftly identifying issues within the models' predictions, leading to quicker bug fixes and improved model accuracy.• Effectively communicated project updates, progress, and technical details to team members.

• Develop a website consisting of a Homepage, Order form, and Administrator login.• Utilized JavaScript to promote special offers on the Homepage.• Implemented Login and logout functionality on all pages, used PHP's password_verify function utilized to hash passwords, use of sessions to restrict access to administrator functionality.• Administrator access to edit records, view records held in the database, update records.• Developed an order form consisting of ordering record functionality, total cost calculation and order submission functionality.• Server side data validation.