SALMA HASSAN
Hi, I'm Salma!
Hi, I'm Salma!
AI/ML Engineer
HTML5/CSS3 Mastery
Product Design
Branding
Collaborative Team Player
About me
Greetings! I'm Salma Hassan, and I navigate the exciting world of AI, data science, and machine learning, where every piece of data tells a story. Combining a deep understanding of AI-driven technologies with a passion for solving real-world challenges, I approach each project with a focus on innovation, collaboration, and impactful research, aiming to push the boundaries of what’s possible in artificial intelligence.
Greetings! I'm Salma Hassan, and I navigate the exciting world of AI, data science, and machine learning, where every piece of data tells a story. Combining a deep understanding of AI-driven technologies with a passion for solving real-world challenges, I approach each project with a focus on innovation, collaboration, and impactful research, aiming to push the boundaries of what’s possible in artificial intelligence.
Greetings! I'm Salma Hassan, and I navigate the exciting world of AI, data science, and machine learning, where every piece of data tells a story. Combining a deep understanding of AI-driven technologies with a passion for solving real-world challenges, I approach each project with a focus on innovation, collaboration, and impactful research, aiming to push the boundaries of what’s possible in artificial intelligence.
My journey began with a solid foundation in computer engineering and data science through my bachelor's degree from AUS, meticulously honed through my academic pursuits and professional experiences. I hold a Master’s degree in Machine Learning from MBZUAI, where I conduct advanced research on Alzheimer's Disease detection using multimodal data and graph neural networks. My academic journey and project work have empowered me to tackle complex problems in AI, machine learning, and healthcare, always driven by a desire to contribute to advancements in technology and medicine.
My journey began with a solid foundation in computer engineering and data science through my bachelor's degree from AUS, meticulously honed through my academic pursuits and professional experiences. I hold a Master’s degree in Machine Learning from MBZUAI, where I conduct advanced research on Alzheimer's Disease detection using multimodal data and graph neural networks. My academic journey and project work have empowered me to tackle complex problems in AI, machine learning, and healthcare, always driven by a desire to contribute to advancements in technology and medicine.
My journey began with a solid foundation in computer engineering and data science through my bachelor's degree from AUS, meticulously honed through my academic pursuits and professional experiences. I hold a Master’s degree in Machine Learning from MBZUAI, where I conduct advanced research on Alzheimer's Disease detection using multimodal data and graph neural networks. My academic journey and project work have empowered me to tackle complex problems in AI, machine learning, and healthcare, always driven by a desire to contribute to advancements in technology and medicine.
My technical skill set mirrors the dynamic and evolving landscape of AI. From programming languages such as Python, Java, and C++ to machine learning frameworks like PyTorch and TensorFlow. I am well-versed in both cutting-edge technologies and the practical application of AI models. However, I am constantly seeking new challenges and expanding my knowledge, exploring emerging trends in AI and machine learning to ensure that my work stays at the forefront of innovation and research excellence.
My technical skill set mirrors the dynamic and evolving landscape of AI. From programming languages such as Python, Java, and C++ to machine learning frameworks like PyTorch and TensorFlow. I am well-versed in both cutting-edge technologies and the practical application of AI models. However, I am constantly seeking new challenges and expanding my knowledge, exploring emerging trends in AI and machine learning to ensure that my work stays at the forefront of innovation and research excellence.
My technical skill set mirrors the dynamic and evolving landscape of AI. From programming languages such as Python, Java, and C++ to machine learning frameworks like PyTorch and TensorFlow. I am well-versed in both cutting-edge technologies and the practical application of AI models. However, I am constantly seeking new challenges and expanding my knowledge, exploring emerging trends in AI and machine learning to ensure that my work stays at the forefront of innovation and research excellence.
Education
Testimonials
PhD. Machine Learning
Aug 2023 - May 2025
Recently graduated Master's student in Machine Learning with a perfect GPA of 4.0 as the Valedictorian of the graduating Class of 2025. Actively involved in cutting-edge AI research. Engaged in high-impact projects, workshops, and collaborations under the guidance of world-renowned faculty, aiming for peer-reviewed publications and presentations at international conferences.
PhD. Machine Learning
Aug 2023 - May 2025
Recently graduated Master's student in Machine Learning with a perfect GPA of 4.0 as the Valedictorian of the graduating Class of 2025. Actively involved in cutting-edge AI research. Engaged in high-impact projects, workshops, and collaborations under the guidance of world-renowned faculty, aiming for peer-reviewed publications and presentations at international conferences.
B.Sc. Computer Engineering
Sep 2019 - Dec 2022
Graduated top of the class of 2022-2023 with a GPA of 3.97/4.0, and I received multiple awards, including the Excellence Award and First Place in the Senior Project Competition. Notable for strong academic performance and leadership roles in engineering societies. Successfully led a highly commended research project, placing in the top 7% of the Global Undergraduate Awards.
International Baccalaureate
Sep 2017 - Jun 2019
Graduated as the Class of 2019 Valedictorian with 41 points in four higher-level subjects, including physics, Chemistry, Maths, and Business. Demonstrated leadership as an elected student body member, contributing over 150 hours to Creativity, Action, and Service (CAS) initiatives.
PhD. Machine Learning
Aug 2023 - May 2025
Recently graduated Master's student in Machine Learning with a perfect GPA of 4.0 as the Valedictorian of the graduating Class of 2025. Actively involved in cutting-edge AI research. Engaged in high-impact projects, workshops, and collaborations under the guidance of world-renowned faculty, aiming for peer-reviewed publications and presentations at international conferences.
PhD. Machine Learning
Aug 2023 - May 2025
Recently graduated Master's student in Machine Learning with a perfect GPA of 4.0 as the Valedictorian of the graduating Class of 2025. Actively involved in cutting-edge AI research. Engaged in high-impact projects, workshops, and collaborations under the guidance of world-renowned faculty, aiming for peer-reviewed publications and presentations at international conferences.
B.Sc. Computer Engineering
Sep 2019 - Dec 2022
Graduated top of the class of 2022-2023 with a GPA of 3.97/4.0, and I received multiple awards, including the Excellence Award and First Place in the Senior Project Competition. Notable for strong academic performance and leadership roles in engineering societies. Successfully led a highly commended research project, placing in the top 7% of the Global Undergraduate Awards.
International Baccalaureate
Sep 2017 - Jun 2019
Graduated as the Class of 2019 Valedictorian with 41 points in four higher-level subjects, including physics, Chemistry, Maths, and Business. Demonstrated leadership as an elected student body member, contributing over 150 hours to Creativity, Action, and Service (CAS) initiatives.
PhD. Machine Learning
Aug 2023 - May 2025
Recently graduated Master's student in Machine Learning with a perfect GPA of 4.0 as the Valedictorian of the graduating Class of 2025. Actively involved in cutting-edge AI research. Engaged in high-impact projects, workshops, and collaborations under the guidance of world-renowned faculty, aiming for peer-reviewed publications and presentations at international conferences.
PhD. Machine Learning
Aug 2023 - May 2025
Recently graduated Master's student in Machine Learning with a perfect GPA of 4.0 as the Valedictorian of the graduating Class of 2025. Actively involved in cutting-edge AI research. Engaged in high-impact projects, workshops, and collaborations under the guidance of world-renowned faculty, aiming for peer-reviewed publications and presentations at international conferences.
B.Sc. Computer Engineering
Sep 2019 - Dec 2022
Graduated top of the class of 2022-2023 with a GPA of 3.97/4.0, and I received multiple awards, including the Excellence Award and First Place in the Senior Project Competition. Notable for strong academic performance and leadership roles in engineering societies. Successfully led a highly commended research project, placing in the top 7% of the Global Undergraduate Awards.
International Baccalaureate
Sep 2017 - Jun 2019
Graduated as the Class of 2019 Valedictorian with 41 points in four higher-level subjects, including physics, Chemistry, Maths, and Business. Demonstrated leadership as an elected student body member, contributing over 150 hours to Creativity, Action, and Service (CAS) initiatives.
PhD. Machine Learning
Aug 2023 - May 2025
Recently graduated Master's student in Machine Learning with a perfect GPA of 4.0 as the Valedictorian of the graduating Class of 2025. Actively involved in cutting-edge AI research. Engaged in high-impact projects, workshops, and collaborations under the guidance of world-renowned faculty, aiming for peer-reviewed publications and presentations at international conferences.
PhD. Machine Learning
Aug 2023 - May 2025
Recently graduated Master's student in Machine Learning with a perfect GPA of 4.0 as the Valedictorian of the graduating Class of 2025. Actively involved in cutting-edge AI research. Engaged in high-impact projects, workshops, and collaborations under the guidance of world-renowned faculty, aiming for peer-reviewed publications and presentations at international conferences.
B.Sc. Computer Engineering
Sep 2019 - Dec 2022
Graduated top of the class of 2022-2023 with a GPA of 3.97/4.0, and I received multiple awards, including the Excellence Award and First Place in the Senior Project Competition. Notable for strong academic performance and leadership roles in engineering societies. Successfully led a highly commended research project, placing in the top 7% of the Global Undergraduate Awards.
International Baccalaureate
Sep 2017 - Jun 2019
Graduated as the Class of 2019 Valedictorian with 41 points in four higher-level subjects, including physics, Chemistry, Maths, and Business. Demonstrated leadership as an elected student body member, contributing over 150 hours to Creativity, Action, and Service (CAS) initiatives.
Experience
01
AI Engineer Intern, Core42 (Inception AI)
May 2024 - Jul 2024
Pioneered state-of-the-art AI techniques for genomic studies, mainly focusing on the conversion of DNA to mRNA, transcription to amino acids, and variation scrutiny for crucial genes such as TP53 and BRCA1/2.
Conducted comprehensive genomics analysis and bioinformatics research to identify patterns and correlations within large-scale genetic datasets, driving insights into disease mechanisms and variant impacts.
Curated and processed large-scale genetic datasets using ClinVar, creating reproducible pipelines to ensure data quality and consistency
Fine-tuned a Genetic Foundation Model (GFM) with a 192k context window, drastically improving its proficiency in handling extensive genomic sequences and enhancing precision and profound understanding of diseases like Alzheimer's.
Added value to the realm of AI-powered genomics by employing sophisticated models like Enformer to examine over 5,000 genomic tracks, and LongRoPE (Long-range Rotary Position Embedding) to prolong model context lengths without extra fine-tuning.
Pioneered state-of-the-art AI techniques for genomic studies, mainly focusing on the conversion of DNA to mRNA, transcription to amino acids, and variation scrutiny for crucial genes such as TP53 and BRCA1/2.
Conducted comprehensive genomics analysis and bioinformatics research to identify patterns and correlations within large-scale genetic datasets, driving insights into disease mechanisms and variant impacts.
Curated and processed large-scale genetic datasets using ClinVar, creating reproducible pipelines to ensure data quality and consistency
Fine-tuned a Genetic Foundation Model (GFM) with a 192k context window, drastically improving its proficiency in handling extensive genomic sequences and enhancing precision and profound understanding of diseases like Alzheimer's.
Added value to the realm of AI-powered genomics by employing sophisticated models like Enformer to examine over 5,000 genomic tracks, and LongRoPE (Long-range Rotary Position Embedding) to prolong model context lengths without extra fine-tuning.
01
AI Engineer Intern, Core42 (Inception AI)
May 2024 - Jul 2024
Led a data-driven transformation, developing deep learning models that optimized warehouse stock management, reducing order loss by 14%.
Spearheaded the creation of over 30 Power BI reports, enhancing strategic decision-making.
Automated data workflows, improving data accuracy by 9%, while supporting global and regional business processes.
Supported business processes like S&OP using SAP IBP and other tools, ensuring alignment with global and regional Reckitt standards and services.
Automated data retrieval and manipulation, resulting in improved data accuracy and accelerated the delivery of data-driven business insights.
02
Junior Data Analyst, Reckitt
Jan 2023 - Aug 2023
Excelled in capturing requirements from stakeholders and articulating them to the development team, ensuring adherence to the software development lifecycle
Enhanced website performance and architecture, improving load times by 19% through responsive design and adherence to accessibility standards.
Played a key role in the development of web-based applications using ASP.NET MVC and C#, completing major projects in an Agile team environment.
Translated UI/UX wireframes into functional code and collaborated closely with stakeholders to deliver user-centered solutions.
03
Software Engineer Intern, GamaLearn
May 2021 - Sep 2021
03
Software Engineer Intern, GamaLearn
May 2021 - Sep 2021
Worked closely with faculty to grade assignments, providing detailed feedback to students on technical projects and exams.
Tutored students individually and in groups, reinforcing key concepts in computer engineering and data science.
Assisted with classroom activities, including labs and lectures, to ensure smooth operations and enhanced learning outcomes.
04
Teacher Assistant & Grader, American University of Sharjah
Jan 2020 - Dec 2022
04
Teacher Assistant & Grader, American University of Sharjah
Jan 2020 - Dec 2022
