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Click here or scroll down to respond to this candidateCandidate's Name
Street Address -255-6133 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLE github.com/Akuei-Ateny EducationPrinceton University Princeton, NJBachelor of Science in Engineering, Computer Science, Minor in SML Aug. Street Address May 2026 GPA: 3.7/4.0Bridge2Rwanda Scholars Program Kigali, RwandaArt Studies, Sciences, and Leadership April Street Address June 2022 GPA: 4.0/4.0Promised Land Secondary School Juba, South SudanMathematics and Sciences Feb. 2016 Dec. 2019GPA: 4.32/4.0, ValedictorianExperienceTechnical Support June 2023 Aug. 2023Melville 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. 2022MTN 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 YEEs 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 ProjectsSeam 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 transactionsN-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 CalculusTechnical SkillsLanguages: 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 LABLibraries: pandas, NumPy, MatplotlibOther skills: Software Development, Web Development, Modeling and Analytical Thinking, Data Structures and AlgorithmSoft Skills Problem -solving Adaptability Leadership Initiative Communication Team-work and Collaboration Excellent work ethic and time management |
