Hi, my name is Mohammed-Khalil.
I hold a BS in Computer Science, MS in Industrial Engineering and currently pursuing a PhD. I am a data science intern building robust generative AI and ML applications.
About me
I am a dedicated individual with an excellent academic background in computer science and industrial engineering. My area of interest is data science including big data, statistics, multivariate data analysis and generative AI. Currently, I hold a position as a data science intern, where I actively contribute to cutting-edge projects and apply my knowledge to develop robust AI applications, machine learning models and also simulations of industry systems . Being from Morocco, I bring a unique perspective and a diverse range of experiences to my work. At 25 years old, I am not only passionate about my field of study but also enthusiastic about sports, including soccer, volleyball, and Formula 1. During my free time I either play soccer or drive F1 cars in simulators. Combining my technical skills and creative mindset, I strive to tackle real-world problems through innovative approaches and leverage the power of data-driven insights.
My Skills and Toolbox
Programming Languages and Libraries
Database
Cloud Platforms and Lakehouse
Big Data
Generative AI
General Skills and Tools
Research and Projects Portfolio
Projects Portfolio
A Portfolio page built for my generative AI projects.
Research and Publications
Check out my published research
Certifications
Generative AI with Large Language Models on AWS Sagemaker
Build, Train, and Deploy ML Pipelines in AWS using BERT
Analyze Datasets and Train ML Models using AWS AutoML
AZ-900:Azure Fundamemtals
Introduction to Design and Analysis of Algorithms
Probabiliy and Statistics for Data Science
Data Science Essentials Suite
Introduction to Python Programming
Introduction to Machine Learning
Attention Mechanism
Generative AI Fundamentals
Create Image Captioning Models
Generative AI Fundamentals
Encoder-Decoder Architecture
Introduction to Generative AI
Introduction to Generative AI Studio
Introduction to Large Language Models (LLMs)
Introduction to Responsible AI
Transformer Models and BERT Model
Elements of AI Building AI
Intro to AI
Client Needs and Software Requirement
Software Processes and Agile Practices
CFA, Ethical Decision Making in Finance
Articles about Me
LockerRoom345: Featured in a Binghamton University Magazine Article
Watson College students leverage engineering expertise to optimize clothing distribution for low-income children through LockerRoom345, in collaboration with Dick's Sporting Goods.
DATA4GOOD Competition: 2nd Place Nationally
SUNY Binghamton Students ranking 2nd nationally in the DATA4GOOD Competition organized by Purdue University, INFORMS and Microsoft. The competition is about building an NER system leveraging LLMs and Microsoft Azure to automate and streamline the process of form filling in healthcare.