I may be a new graduate, but I learn fast, adapt quickly, and take on complex challenges with confidence. I build exceptional AI/ML solutions with clean code and modern technologies, turning complex data problems into elegant machine learning solutions.
I'm a passionate Computer Science and Data Science student at Southern Methodist University (SMU), dedicated to leveraging artificial intelligence and machine learning to solve real-world challenges. My journey in technology started with a curiosity about how data can transform decision-making and create meaningful impact in people's lives.
With hands-on experience in machine learning research, data analytics, and software development, I've developed expertise in Python, deep learning frameworks, and statistical analysis. My work spans from predictive modeling and computer vision to natural language processing and data visualization.
I'm passionate about projects that create real-world impact and solve meaningful problems in people's lives. Whether it's improving healthcare outcomes through AI, enhancing sustainability through data insights, or building tools that make technology more accessible, I'm always open to new ideas and collaborative opportunities that can make a difference.
I write maintainable, scalable, and efficient code following best practices and industry standards.
I enjoy tackling complex data challenges and finding elegant ML solutions through creative thinking.
I quickly adapt to new AI technologies and frameworks, constantly expanding my skill set.
Pursuing a comprehensive education in both theoretical computer science and practical data science applications. My coursework includes Advanced Machine Learning, Deep Neural Networks, Computer Vision, Natural Language Processing, Statistical Learning Theory, Database Systems, Software Engineering, and AI Ethics. Currently maintaining a strong academic record while actively participating in research projects and industry collaborations.
3.9/4.0
Core languages for AI/ML and data science development
Frameworks and libraries for intelligent systems
Tools for data manipulation and visualization
Database management and big data technologies
Tools and environments for development and deployment
With extensive experience in both machine learning engineering and data science, I bring a comprehensive understanding of AI/ML principles to every project.
Here are some of my key projects showcasing AI/ML implementations, full-stack development, and high-performance systems engineering.
Leading development of a full-stack self-service data portal enabling secure SQL query execution and data export for analysts.
Developed an AI-driven web application that generates personalized, ATS-optimized cover letters from resumes and job descriptions.
Directed a four-person cross-functional team building a scalable AI medical assistant system for a Fortune 500 client.
Co-founded and developed a multithreaded search engine using POSIX threads and Google C++ standards, ranking 1st in university-wide performance benchmark.
I'm currently working on launching my technical blog where I'll share insights about AI/ML, data science, and my experiences in the field. Stay tuned for upcoming articles!
I'm preparing to share my thoughts and experiences on:
First posts launching soon - stay tuned!