Akuei Johnson Ateny Akuei

609-***-**** ad4o6l@r.postjobfree.com https://www.linkedin.com/in/akuei-johnson-ateny/ github.com/Akuei-Ateny Education

Princeton University Princeton, NJ

Bachelor of Science in Engineering, Computer Science, Minor in SML Aug. 2022 – May 2026 GPA: 3.7/4.0

Bridge2Rwanda Scholar’s Program Kigali, Rwanda

Art Studies, Sciences, and Leadership April 2021 – June 2022 GPA: 4.0/4.0

Promised Land Secondary School Juba, South Sudan

Mathematics and Sciences Feb. 2016 – Dec. 2019

GPA: 4.32/4.0, Valedictorian

Experience

Technical Support June 2023 – Aug. 2023

Melville Family Foundation Dallas, TX

• Provided technical support for tablet games designed for children

• Produced engaging and educational short videos using AI software, including D-ID, Blockade Labs, Premier Pro, and Adobe Photoshop.

• Collaborated with the team to ensure the smooth integration of technology into the mentoring program.

• Developed effective problem-solving and communication abilities in a technical support role Software Engineering Intern Jun. 2022 – Aug. 2022

MTN South Sudan Juba, South Sudan

• Participated in the full software development lifecycle, including requirements analysis, design, coding, testing, and deployment

• Assisted in the development of new features and enhancements for existing software products

• Worked on bug fixing and troubleshooting to ensure the smooth operation of software applications.

• Gained proficiency and insights in programming languages, frameworks, and tools relevant to the role Machine Learning Research Assistant Sept. 2023 – Dec. 2023 Princeton University Princeton, NJ

• Explored methods for enhancing image recognition algorithms using deep learning techniques

• Developed machine learning models in Python and Java to improve image classification accuracy

• Contributed 5K+ lines of code to a collaborative research project via Git

• Conducted experiments to evaluate the performance of various machine learning algorithms

• Analyzed and interpreted experimental results to draw conclusions and make recommendations Marketing and Communication Intern March 2022 – June 2022 Yunus Emre Enstit us u Kigali, Rwanda

• Managed and maintained YEE’s social media platforms, including Facebook, Twitter, and Instagram, to increase engagement and reach, resulting in a 20 percent growth in followers during the internship period

• Produced engaging and culturally relevant content, including blog posts, articles, and multimedia materials, to promote Turkish culture and language. Content consistently received positive feedback and high user engagement

• Collaborated on English language-related initiatives, assisting in the development of educational materials and resources for language learners and teachers, contributing to the enhancement of language programs

• Utilized social media analytics tools to track key performance indicators, such as reach, engagement, and conversion rates, and provided regular reports to inform decision-making

• Collaborated with cross-functional teams on various projects, including design, multimedia production, and public relations, ensuring a cohesive and unified brand image for YEE Projects

Seam Carving Java Oct. 2023 – Nov. 2023

• Developed a Java application for image manipulation using seam carving technique, allowing for resizing images while preserving important features

• Implemented algorithms for finding vertical and horizontal seams in images to identify least significant pixels for removal.

• Utilized dynamic programming to efficiently calculate pixel energies based on gradient information for seam identification.

• Created a user-friendly interface for visualizing seam identification and removal process, enhancing user experience

• Demonstrated proficiency in Java programming and algorithmic problem-solving to achieve image resizing functionality.

Fraud Detection Java Nov. 2023 – Dec. 2023

• Developed a Fraud Detection system utilizing boosting algorithms for classification of fraudulent transactions

• Implemented a BoostingAlgorithm class for iterative training of weak learners and updating weights based on predictions

• Utilized WeakLearner class to train individual weak learners for prediction of fraudulent transactions

• Employed Clustering class for dimensionality reduction of input data and creation of clusters for accurate classification

• Achieved high accuracy in both training and test datasets, ensuring effective detection of fraudulent activities in financial transactions

N-Body Simulation Java Jan. 2024 – Feb. 2024

• Successfully developed a program to model the motion of celestial bodies under gravitational forces

• Demonstrated expertise in numerical simulation, including precise handling of time steps and gravitational physics

• Implemented command-line argument parsing for customization of simulation parameters

• Integrated multimedia elements, enabling background music playback using the ”StdAudio” library

• Showcased strong software development skills, emphasizing code organization and data input/output operations Sample Courses Princeton University B.S.E, Computer Science

• Data Structures and Algorithm (COS 226)

• Reasoning About Computation (COS 240)

• Introduction to Programming Systems (COS 217)

• Economics and Computation (COS 445)

• Intro to Machine Learning (COS 324)

• Theory of Algorithms

• Linear Algebra and multivariable Calculus

Technical Skills

Languages: Java, Python, C/C++, SQL (Postgres), JavaScript, HTML/CSS, R Frameworks: React, Node.js, Flask, JUnit, WordPress, Material-UI, FastAPI Developer Tools: Git, Git CLI, Google Cloud Platform, VS Code, Visual Studio, PyCharm, IntelliJ, XCode, ARM LAB

Libraries: pandas, NumPy, Matplotlib

Other skills: Software Development, Web Development, Modeling and Analytical Thinking, Data Structures and Algorithm

Soft Skills

• Problem -solving

• Adaptability

• Leadership

• Initiative

• Communication

• Team-work and Collaboration

• Excellent work ethic and time management

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