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Click here or scroll down to respond to this candidate Candidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE mseeamStreet Address mseeam99 * Texas, USA
TECHNICAL SKILLS
PROGRAMMING LANGUAGES: Java, C++, Python, JavaScript, Go, HTML, CSS, Dart, SQL, Bash/Shell Script, MATLAB, LaTeX
FRAMEWORKS & TOOLS: Flutter, Firebase, Docker, Kubernetes, AWS, Microsoft Azure, Google Cloud, Django, Flask, Kafka,
Envoy, Cassandra, Spark, React, Angular, Git, GitHub, FlutterFlow, PostgreSQL, MySQL, Visual Studio, Xcode, Linux, Gradle
WORK EXPERIENCE
AdVanced Empirical Software Testing & Analysis (AVESTA), Texas Tech University March 2024 - Present
Undergraduate Research Assistant
Integrated Generative Adversarial Networks (GANs) with Large Language Models (LLMs) to enhance LLM output quality
Developed generator and discriminator neural networks to generate and evaluate text for accurate language generation
Utilized PyTorch and TensorFlow for training neural networks, and employed NumPy, Pandas, and Matplotlib for data analysis
Supplemental Instruction, Texas Tech University February 2023 - June 2023
Programming Instructor (Python)
Instructed 90-minute classes of 20 students twice a week, to teach ENGR-1330, a first-year college-level Python coding class
Taught advanced Python coding with logical problem-solving, and data science frameworks: NumPy, Pandas, and Matplotlib
Prepared study materials for theoretical data science and coding, and sent weekly emails to all students using Lyris software
EDUCATION
Texas Tech University, Lubbock, Texas Expected Graduation Date: May 2025
Bachelor of Science in Computer Science GPA 3.6
Minor in Mathematics
Relevant Coursework: Neural Networks(Graduate), Machine Learning, Software Engineering, Computer Architecture, Database
Systems and SQL, Object-Oriented Programming, Design and Analysis of Algorithms, Data Structures, Data Science in Python
PROJECTS
Machine Learning for Handwritten Digit Classification April 2024 - May 2024
Developed a Convolutional Neural Network (CNN) architecture for handwritten digit recognition using the MNIST dataset
Utilized 60,000 training data and 10,000 testing data, achieving an accuracy rate of approximately 99% on the testing set
Presented detailed performance analysis, including training/testing accuracy graphs, confusion matrices, and execution times
Implemented neural networks using PyTorch and performed data manipulation with NumPy, Pandas, and Matplotlib Link
Social Media App for Sports January 2024 - March 2024
Developed a cross-platform mobile app connecting students to find sports partners with shared athletic interests on campus
Designed user interfaces using Flutter, managed backend with Firebase, and executed business logic in Dart programming
Implemented authentication using Firebase Auth, data management using Firestore and file handling using Cloud Storage
Developed push notification and one-to-one chat functionality with Firebase Messaging for real-time communication Link
INVOLVEMENT
Raider Artificial Intelligence Society of Enthusiasts, Texas Tech University May 2024 - Present
Co-founder and Vice President
Co-founded and led the organization to promote artificial intelligence through real-world projects and informative sessions
Hosted data science and AI workshops, teaching PyTorch, TensorFlow, and other tools to equip members with basic AI skills
Led a technical team in developing a website and mobile app, and hosted hackathons, info sessions, and networking events
Delta Alpha Omega Multi-Cultural Fraternity Inc, Texas Tech University January 2024 - May 2024
Community Service Chair
Led the organization in planning and executing community service events with fraternities/sororities and local organizations
Monitored member activities to ensure each contributed 20 hours, achieving total 500 community service hours per semester
AWARDS
Kenney Engineering Competitive Scholarship August 2022 - Present
United Supermarket FA Scholarship May 2023 - May 2024
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