- 💬 Ask me about: AI/ML Research, Speech Systems (ASR), LLM Fine-tuning, Post-Training Reinforcement Learning, Multimodal AI, Prompt Engineering
- ⚡ Fun fact: Passionate about building production ML systems and AI solutions!
Remote
August 2025 - Present
- Designed an Arabic TTS adaptation pipeline: phoneme normalization, accent controls, prosody tuning; delivered real-time monitoring dashboards for quality and latency.
- Built an evaluation harness (dataset curation, scoring, regression checks) to track quality across model versions.
- Fine-tuned Arabic-first LLMs on domain datasets (instruction tuning + preference tuning); improved task accuracy on internal eval sets.
Remote
December 2024 - August 2025 (9 months)
- Co-founded and led ML + product engineering for an AI notetaker: transcription, summarization, and automation workflows.
- Built summarization pipeline with caching + chunking + streaming; reduced end-to-end processing time by 40% and improved real-time note stability.
- Actively engaged in sales activities conducting demos, handling client objections, and closing deals while continuing product development.
- Built MCP-driven summarization algorithms, reducing processing time 40% and improving real-time note quality.
IBM · Hybrid
June 2024 - December 2024 (7 months)
- Built and optimized multimodal AI systems combining ASR and LLM prompt engineering to improve speech and text understanding in enterprise AI products.
- Contributed to the Watsonx team, improving semantic accuracy and human–AI interaction across voice and text pipelines.
- Designed evaluation frameworks, ran model validation, and collaborated on applied experiments with OpenAI researchers to bridge research ideas into production systems.
IBM · Hybrid
March 2023 - September 2023 (6 months)
- Engineered an advanced chatbot utilizing large language models which simplified legal document interactions, achieving a 30% reduction in customer query handling time.
- Implemented AI-driven algorithms using Python and TensorFlow to automate complex contractual language summarization, cutting document processing time by 40%.
- Enhanced the chatbot's architecture to deliver 25% quicker and more precise human-like responses, significantly boosting real-time legal jargon interpretation using NLP techniques.
Self-employed
Nov 2021 - Dec 2022 (1 year 2 months)
Location: Saudi Arabia / Ireland
Key Projects:
- FCAI App: Designed to assist classmates with academic materials, streamlining access to resources.
- Tasbeeh App: Developed a digital tool for tasbeeh, enhancing users' spiritual practices.
- Hoozgram: Built an app for mood tracking, promoting emotional awareness.
- 3D Game: Created a 3D game using Unity Engine, offering engaging gameplay experiences.
- AR App: Developed an augmented reality application, delivering immersive experiences.
- Food Recipes App: Released a user-friendly app featuring a variety of food recipes.
- Website Development: Built dynamic websites using various technologies, showcasing a full-stack development skill set.
- Proficient in breaking down complex problems and designing efficient, scalable solutions.
- Experience working in cross-functional teams.
- Strong collaboration and communication skills with both technical and non-technical stakeholders.
- Innovative thinker with a passion for exploring new technologies and solving real-world problems through AI and data science.
- Ability to manage multiple projects simultaneously, prioritizing tasks and meeting tight deadlines in fast-paced environments.
- Skilled at conveying technical insights to diverse audiences, making complex data accessible and actionable.
- Proficient in presenting data-driven findings clearly and persuasively.
- A mindset of continuous learning with an interest in staying updated with the latest trends in AI, machine learning, and data science.
Description:
Built a voice-enabled patient education agent using foundation models to simplify lab results and clinical conversations across speech and text. Implemented an evaluation framework to compare foundation model outputs across patient scenarios using rubrics, automated checks, and human review loops.
Tools & Technologies:
Description:
Built a fully automated machine learning pipeline using Python and DVC. This pipeline handles data preprocessing, model training using XGBoost, and evaluation. Versioning and reproducibility are ensured via DVC.
Tools & Technologies:
Description:
Analyzed sales data, leading to a 39% YoY growth in sales by visualizing channel performance and promotional effectiveness using Power BI. Provided actionable insights that optimized future sales strategies, driving revenue growth.
Tools & Technologies:
Description:
Performed customer segmentation using K-Means Clustering to categorize customers by behavioral patterns. These insights helped the company design personalized marketing strategies, improving customer engagement and revenue.
Tools & Technologies:
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Machine Learning Specialization
Issued Feb 2023 - DeepLearning.AI
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Machine Learning Engineer (MLOps)
Issued Aug 2024 - DataCamp
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The Machine Learning Process A-Z
Issued Nov 2023 - 365 Data Science
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Deep Learning Specialization
Issued Mar 2023 - DeepLearning.AI
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IBM AI Engineering Professional
Issued Apr 2023 - Coursera
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TensorFlow Professional
Issued Apr 2023 - DeepLearning.AI
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Machine Learning with Decision Trees and Random Forests
Issued Nov 2023 - 365 Data Science
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Google Data Analytics Professional
Issued Apr 2023 - Google
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Data Analysis with Python
Issued Feb 2023 - freeCodeCamp
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Advanced Microsoft Excel
Issued Nov 2023 - 365 Data Science
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Building Business Reports Using Power BI
Issued Nov 2023 - 365 Data Science
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Mathematics
Issued Nov 2023 - 365 Data Science
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Statistics
Issued Nov 2023 - 365 Data Science
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Probability
Issued Nov 2023 - 365 Data Science
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Calculus for Machine Learning and Data Science
Issued Feb 2023 - DeepLearning.AI
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Linear Algebra for Machine Learning and Data Science
Issued Feb 2023 - DeepLearning.AI
- Associate Data Engineer in SQL
Issued Jul 2024 - DataCamp
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Communication and Presentation Skills for Analysts and Managers
Issued Nov 2023 - 365 Data Science
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Data Strategy
Issued Nov 2023 - 365 Data Science
