I'm
Said Lfagrouche
Aspiring Software Engineer & AI / ML Engineer
Hello!
About Me.
Software engineer with expertise in machine learning and cloud technologies, I specialize in developing scalable, efficient solutions for complex technological challenges. My skill set spans a wide range of cutting-edge technologies:
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Education.
Aug 2021 - Present
BSc. in Computer Science, Minor in Data Science
Brooklyn College
• Consistently on Dean's List
• Honors in Fundamentals of Machine Learning
• Relevant Coursework: Data Structures, Analysis of Algorithms, Computer Architecture, Large-scale Web Applications, Computer Networks and Protocols, Operating Systems, Discrete Structures, Database Systems, Object-Oriented Programming, Machine Learning, Data Tools and Algorithms, Applied Intermediate Statistics, Linear Algebra, Calculus II
Jun 2023 - Aug 2023
Machine Learning Certification
Cornell University
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Studied fundamental ML concepts, including supervised and unsupervised learning
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Gained practical skills in data preprocessing, model development, and evaluation
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Applied ML algorithms to real-world problems using industry-standard tools
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Developed proficiency in Python and popular ML libraries
PORTFOLIO
MY LATEST WORK. SEE MORE >
EXPERIENCE
Jun 2024 - Aug 2024
Salesforce
Software Engineering Intern
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Designed and optimized APIs for Salesforce Data Cloud, improving data processing efficiency
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Implemented cloud infrastructure solutions using AWS, enhancing system scalability and reliability
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Collaborated with cross-functional teams to develop and integrate new features into existing products
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Participated in code reviews and agile development processes, contributing to improved software quality
Apr 2024 - June 2024
The City Tutors
Software Engineering Intern
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Developed a comprehensive educational web app using Django, Python, HTML, CSS, and MySQL.
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Implemented a matching system for students and tutors, increasing user registration by 10%
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Created efficient clock-in/out and user sign-up systems, streamlining platform operations
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Designed and implemented user authentication system, including account recovery features
Jan 2023 - Nov 2023
XRSI – XR Safety Initiative
Aug 2023 - May 2024
Software Engineering Intern
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Orchestrating and maintaining backend APIs for a full-stack web application using WordPress, Python and Java.
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Collaborate with Consulting stakeholders and front-end engineers to design and implement new features, including
APIs that expose JSON data to the frontend leading to a 25% enhancement in frontend performance.
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Wrote and optimized SQL queries to retrieve and manipulate data in the backend database.
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Achieved a 40% reduction in bugs by implementing a suite of reusable unit tests through rigorous test-driven
development, elevating the software's quality and reliability.
CUNY Tech Prep
Data Science Fellow
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Selected to participate in a competitive Data Science fellowship that enhances students' skills in data science-related topics such as data visualization,
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Focused on predicting Amazon product review ratings (1 to 5) using advanced Neural Networks and NLP techniques.
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Achieved a commendable 90% accuracy through a Deep Neural Network (DNN) with Bag of Words vectorization on a 10% sample of Kaggle's extensive dataset (54.41 GB).
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Demonstrated the project's predictive capabilities, highlighting the effectiveness of the implemented DNN and its ability to extract meaningful patterns from extensive data.
Aug 2023 - Dec 2023
Guidehouse
Machine Learning Consultant Intern
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Led a team of 5, achieving a 15% accuracy improvement in developing a predictive model for Ukraine's humanitarian needs.
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Collaborated with industry professionals, fostering dynamic teamwork, and applied advanced analysis tools for a 20% increase in model impact.
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Enhanced model interpretability, contributing to informed decision-making in humanitarian assistance.
July 2023 - Aug 2023
Nordstrom
Machine Learning Engineer Intern
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Led cross-functional team in developing a cutting-edge full-text product search engine for Nordstrom's website.
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Developed and implemented a Category Builder with model, utilizing machine learning tools such as Spacy and
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NLTK, to create accurate category tags, significantly improving search specificity.
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Engineered a Smart Search Engine that revolutionized search results and recommendations, resulting in a 40%
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reduction in search time and increased user satisfaction.
Dec 2022 - Jan 2023
RadicalX
Web Development Intern
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Developed and optimized HTML/CSS templates, enhancing website functionality and UX.
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Contributed to RadicalX's key platform features, leveraging Firebase, Node.js, and React.
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Integrated ReadyPlayerMe API into React, personalizing avatars for improved user experience and interactivity.
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Collaborated in code reviews, meetings, & brainstorming to enhance product features & platform performance.