Intro
About Me
I am an undergraduate at Suffolk University, Class of 2026, pursuing a Bachelor of Science in Computer Science with minors in Data Science and Biology. My interest in Computer Science stems from a fascination with problem-solving and the potential of technology to transform industries. The minors in Data Science and Biology complement my major by providing insights into data-driven decision-making and the biological processes that can be enhanced through computational methods. With experience in research and computational science and engineering, I am planning to pursue a PhD in Artificial Intelligence. This advanced degree will allow me to contribute to cutting-edge developments in AI, pushing the boundaries of what machines can learn and accomplish. I am actively looking for opportunities to:
- Learn from experts
- Work on innovative projects
- Be mentored by professionals who can guide my career in AI and technology
My Hobbies
Outside of academics, I have a diverse range of hobbies:
- Physical: Cycling, walking, and running
- Virtual: Game design and development, coding
Activism and Passion
Additionally, I am involved in activism, advocating for the ethical use of technology and promoting diversity in STEM fields. My passion for technology is driven by the belief that it can solve real-world problems and improve lives. Through my studies, hobbies, and activism, I strive to make a positive impact and inspire others to explore the exciting possibilities of science and technology.
"Striving to make a positive impact through technology and inspire others to explore the possibilities of science and innovation."
Work
Personal Projects
Home for all my personal work: GitHub
Internships
-Current-
Artificial Intelligence Engineer
Radical A.I | Remote
Designed and implemented AI systems for various applications. Conducted research on emerging AI technologies. Developed deep learning models for image and text recognition.
Software Engineer - Artificial Intelligence
HeadStarter A.I | Remote
Developed AI models for predictive analysis. Collaborated with cross-functional teams to integrate AI solutions. Optimized machine learning algorithms for performance and accuracy.
Researcher: Artificial Intelligence & Machine Learning
MIT - Schwarzman College of Computing | Cambridge, MA
Developed and engineered advanced AI algorithms & ML models, including LLMS, neural networks, and decision trees in Python. Trained neural networks with TensorFlow, fine-tuned ML models with Scikit-learn and performed numerical analysis with NumPy. Created statistical graphics with Seaborn & detailed plots with Matplotlib to visualize model performance and accuracy.
Researcher: Economics, Public Policy, and Technology
Cambridge Local First | Remote
Assessed the Impact of Artificial Intelligence in the Small Business Community of Cambridge, MA. Worked on open-source databases for Policy Tracking across the Western Hemisphere. Developing a platform to display data, statistical, and visual summaries for data extracted from the above-mentioned databases.
-Past-
Researcher: Biostatistics and Computational Biology
Harvard T.H Chan School of Public Health | Boston, MA
Worked under Dr. Rafael A. Irizarry (Professor of Biostatistics – Harvard T.H Chan, Chair of Data Science - Dana-Farber). Analyzed allele frequencies, computing genotype distances and creating advanced visualizations like UMAP & PCA in R. Built ML classification models, employing statistical techniques like linear regression, ANOVA, and mixed-effects models.
Researcher: Web3 Security and Data Analytics
Webacy x Extern | Remote
Analyzed and labeled Blockchain-based smart contract vulnerabilities, enhancing data categorization and risk assessment. Utilized unsupervised machine learning, SQL, Excel, and Tableau for data analysis, manipulation, and visualization.
Researcher: Blockchain and Web3 Security
Webacy x Extern | Remote
Analyzed emerging blockchain layer 2 related technologies and assessed Web3-based security competitors to host client. Synthesized research findings and created an executive presentation outlining steps and suggestions for the Webacy team.
About
I am an Arab American, born in the United States, but I spent most of my life in Lebanon. I returned to the USA for college, eager to start a new chapter. With determination, I secured admission to a reputable school with financial aid. To cover my remaining tuition and living expenses, I worked tirelessly, holding various blue-collar jobs in retail, sales, customer service, and even a full-time role as a security operations officer for my university's police department, all before turning 20.
Through my hard work, I financed my education and supported my family. Now, I am committed to investing in myself and pursuing my aspirations of becoming a creator, provider, and leader. I aim to contribute to the society that has given me so much, ensuring the cycle of prosperity continues.
Contact
Contact me via email: mohammedkaltal@icloud.com
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}
print 'It took ' + i + ' iterations to sort the deck.';
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29.99 |
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19.99 |
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29.99 |
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