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Last Updated on May 15, 2024Candidate's Name
Mount Pleasant, SC PHONE NUMBER AVAILABLE github.com/HDPancakes  LINKEDIN LINK AVAILABLE # EMAIL AVAILABLE EducationCollege of Charleston May Street Address
B.S. Computer ScienceCourseworkCourses: Software Engineering, Computer & Network Security, Object-Oriented Programming, Programming Language Concepts, Operating Systems, Data Structures & Algorithms, Advanced Algorithms, Digital Logic& Comp Org, Discrete Math, Linear Algebra, Calculus, Chemistry & Statistics Awards: College of Charleston Deans List, Life Scholarship SkillsLanguages: C, Python, Java, JavaScript/Typescript, HTML/CSS, LATEX Tools: Git/GitHub, Figma, VS Code, IntelliJ CLion/PyCharm/IDEA, Maya ProjectsPython-Utility-Bot Python, Discord.py, dotenv, Random, OS, SQLite, Git, VS Code, League of Legends API Jan. 2024 Developed a discord bot that detects the amount of people in a voice channel and using a command the bot will divide the current users in the chat into teams. Created another command that randomly generates champions from League of Legends and the amount is determined by the user. This list is maintained by using the League of Legends API which is regularly updated. Python-GPT-Bot Python, asyncio, threading, dotenv, OpenAI API, Azure API, FFmpeg, Pathlib, OS, Git Jan. 2024 Developed a Discord bot feature utilizing the Azure API to generate text responses and convert them into speech, enhancing user interaction through natural language processing and audio feedback. Designed and implemented a range of Discord bot commands for real-time interaction with the OpenAI GPT model, enabling users to receive instant text-based AI responses within the chat environment. CLAIRE JavaScript, HTML/CSS, Bun, Hono, SQLite, Git, VS Code Aug. 2023 - Nov. 2023 Developed a full-stack web application for a class scheduler akin to Coursicle, but specifically made for College of Charleston Students. Developed a Python-based data scraper capable of authenticating with Ellucian systems, processing commands via stdin, and outputting optimized JSON data to stdout, enhancing data retrieval efficiency. Engineered a RESTful API that delivers detailed section data with an optimized JSON schema, achieving an 83 percent data size reduction (from 2kb to 0.3kb per section) for faster web page loading. Real-time Inventory Management System Python, OpenCV, Ultralytics YOLO, Supervision, Tkinter, Flask, NumPy Jan. 2024  May 2024 Assisted in the development of a cutting-edge real-time vehicle inventory system utilizing UAV (drone) technology, computer vision, and deep learning to significantly reduce inventory inaccuracies in vehicle manufacturing. Engineered and implemented advanced computer vision algorithms to accurately identify and track vehicles and components in manufacturing plant parking lots, enhancing operational efficiency. Leveraged YOLOv8 for object detection, achieving a mean average precision of 97 percent in vehicle identification from aerial imagery, which facilitated real-time inventory tracking and management. ExperienceSoftware Engineer, Southerninno Tech January 2024  May 2024 Used the Agile development process with the scrum mindset to efficiently develop our program. I worked with a team of 3 people using the scrum methodology to create the Real-Time Inventory Management System within roughly 3 months.