Clement Boiteux

AI & Machine Learning Engineer • Full-stack Engineer • Frontend Developer • San Jose, CA, US

Android

pandas

Natural Language Processing

Computer Vision

Machine Learning

Full Stack Development

Tailwind CSS

Git

Data Structures And Algorithms

Technical Consultancy

NumPy

React

PyTorch

C++

Node.js

Matplotlib

Express.js

HTML/CSS

Next.js

Mathematics

Python

Javascript

Java

Available for hire fromNegotiable

Contracts

Hardworking software engineer with experience in machine learning, full-stack web development, and high-performance computing.

Computer Engineering student at UC Santa Barbara with skills in machine learning, high-peformance computing, and web development. Eager to apply technical and soft skills to drive positive impact in technology and education. Quick learner, hardworking, and always seeks avenues for improvement. Currently looking for internship opportunities in software engineering, machine learning, technical consulting, product management, and other tech-adjacent roles. Feel free to reach out at cboiteux@ucsb.edu!

Projects

Data Science UCSB New Website

- Using TypeScript, Next.js, and TailwindCSS to develop a new website with better UI and functionality. - Improved member-alumni relations by allowing members to connect with alumni upon clicking a card. - Made club resources and information directly accessible, minimizing search time.See More

FacEmotion

- Led the development of a machine learning model that detects the emotions of people from images and recommends a course of action to improve the user's mood. - Managed project group members and conducted frequent check-ins. - Presented at Data Science UCSB's project showcase and won 1st place out of 53 teams.See More

UCSB Systems & Networking Lab Research Project

- Used Python, Pandas, NumPy, and Scikit-learn to implement a hand-coded version of machine learning concepts such as a neural network, logistic regression model, clustering, and stochastic gradient descent from scratch. - After 400 iterations of training, my model achieved a 95% accuracy. - Created a format for saving data to a file to build off of continuously trained data.See More

Work History

Undergraduate Researcher

UCSB Systems & Networking LabAug 2023 - Oct 2023 • 3 mos- Collaborated with Dr. Trinabh Gupta and a PhD student to create original implementations of machine learning algorithms to predict medical trends while maintaining data privacy and distributed structure. - Used Python, Pandas, NumPy, and Scikit-Learn to develop hand-coded machine learning algorithms and models from scratch. - Achieved 95% accuracy after 400 iterations of training.

Director of Web Development

Data Science UCSBPart-time Employee- Using TypeScript, Next.js, and TailwindCSS to develop a new website with better UI and functionality. - Improved member-alumni relations by allowing members to connect with alumni upon clicking a card. - Made club resources and information directly accessible, minimizing search time. - Hosted LinkedIn and Project Poster workshops for 50 members. - Helped over 200 members set up projects at Project Pitchfire. - Consulted project group members with building data science and machine learning projects for showcasing to companies. - Worked closely with the Technical Development team to organize workshop timeline, structure, and content.

Content Developer

JuiceMindJan 2024 - Jan 2024 • 1 mo- Developed quizzes for AP Computer Science A topics to reinforce student learning and engagement. - Studied computer science curriculum standards to ensure relevancy of topics covered and content robustness. - Improved old quizzes to reflect changes in computer science curriculums and Java language features.

Student Ambassador

IntelPart-time Employee- Using Intel Developer Cloud to run Large Language Models on GPUs for enhanced speed. - Using High-Performance Computing and Data Visualization methods to foster model optimization. - Using Intel debugging tools to rapidly fix errors. - Learned OpenMP to optimize application resources. - Optimizing performance of various machine learning models with PyTorch and Hugging Face. - Spreading awareness of Intel AI technology to enhance machine learning model performance.

Education

UC Santa Barbara

Bachelor's Degree, Computer EngineeringSep 2023 - Present

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