Researcher - Master's Thesis, AI-Augmented Code Optimization and Predictive Debugging Framework
Duration: August 2023 – On-going
Summary: Developed an AI-Augmented Code Optimization and Predictive Debugging Framework exploring the use of large language models to analyze, detect, and correct code issues.
Responsibilities: Dataset refinement, annotation, error analysis, and algorithmic research.
Technologies: Large Language Models, Python, AI/ML Tools
Research Assistant, AI & Innovation Research Group Collaboration
Duration: Date Not Specified
Summary: Contributed to Python-based tool creation, dataset curation, and evaluation of experimental AI models with the university's AI & Innovation Research Group.
Responsibilities: Tool creation, dataset curation, experimental AI model evaluation.
Technologies: Python, AI/ML Tools
Student - Final-Year Project, AI-Based Academic Performance Predictor
Duration: Date Not Specified
Summary: Created an AI-Based Academic Performance Predictor using machine learning techniques to forecast student performance.
Responsibilities: Applied AI and model evaluation.
Technologies: Machine Learning, Supervised Learning, Python
AI Trainer & Freelance Software Engineering Consultant, AI Training & Software Consulting
Duration: 2023 to Present
Summary: AI model training, refinement, and evaluation, and development of Python-based tools for automation and model diagnostics.
Responsibilities: Train, refine, and evaluate AI models through structured dataset creation and annotation. Develop automation tools and evaluate AI outputs.
Technologies: Python, AI/ML Tools, Dataset Creation, NLP
Software Development Intern, University Systems Development