I work with modern AI techniques, including large language models and deep learning, to design intelligent systems that support automation, decision-making, and improved user interaction.
I build organized, reliable data foundations by developing pipelines, structuring datasets, and using analytical methods to generate meaningful insights that support informed business strategies.
I develop backend architectures using cloud technologies to ensure systems are secure, scalable, and capable of supporting real-time data processing and AI-driven applications.
I bring technical components together, data, backend, and machine learning models to create functional prototypes and solutions that are ready for testing, iteration, and real-world integration.
I'm an AI engineer currently pursuing my Master's in Artificial Intelligence in Business at Arizona State University. With hands-on experience in GenAI, LLM agents, and cloud-based systems, I'm passionate about creating intelligent solutions that transform complex data into actionable insights and drive business innovation.
Master's in AI in Business (ASU, 2025) & Master's in Management Information Systems (NIU, 2024)
GenAI Healthcare Chatbot (JUDEFLY), EduBot for High School Students, ML Mentor-Student Matching System
From machine learning frameworks to cloud platforms, I leverage modern technologies to build intelligent, scalable AI solutions that solve real-world problems.
Python, R, JavaScript - Building robust applications and data analysis pipelines
AWS (S3, EC2, Lambda), PostgreSQL - Scalable cloud infrastructure and data management
TensorFlow, PyTorch, LangChain - Deep learning and AI model development
Tableau, GitHub, Figma - Data visualization and collaborative development tools
From healthcare chatbots to educational platforms and sentiment analysis systems, here are some of the projects where I've applied AI and data engineering to solve practical challenges.
GenAI-powered healthcare chatbot using transformer models and AWS to interpret patient health data with secure, real-time access.
Profile-based Python model using similarity metrics for improved mentor-student matching with precision analysis and A/B testing validation.