I’m currently pursuing a Master’s in Data Science, building upon my prior education in Electrical and Computer Engineering and my professional background in software engineering/development within the industrial automation industry.

🎓 Education

  • Master’s in Data Science (In Progress)
  • Five-Year Dual Degree program with two minors:
    • Bachelor of Science in Electrical Engineering, Minor in Applied Mathematics
    • Bachelor of Science in Computer Engineering, Minor in Computer Science

💼 Professional Background

  • Software Engineering/Development in Industrial Automation

My Interests

I’m passionate about integrating low-level computer architecture, software engineering, and advanced AI and machine learning techniques to drive innovation. My goal is to leverage this unique combination of skills to contribute to research and development in cutting-edge fields. With my background and expertise, I’m looking to pursue opportunities in:

  • Research and Development (R&D) in AI
  • Multimodal AI systems and generative models
  • AI/ML compiler and optimizer development
  • Optimizing AI workloads and designing programming abstractions for AI
  • AI-driven media technologies, including music/audio and video AI research
  • AI-powered creative tools and applications

🌱 Current Focus

  • Deepening my knowledge in advanced machine learning and generative AI
  • Exploring parallel computing architectures and GPU optimization
  • Working with large language models and responsible AI development
  • Staying updated with the latest developments in AI compiler technologies and high-performance computing

🤝 Giving Back: Tech for Social Good

I believe in the power of technology to make a positive impact on society and am always open to collaborations that align with this vision. In my free time, I actively seek opportunities to contribute to causes that align with my values:

Areas of Interest:

  • Human Rights & Democracy: Leveraging data science to support human rights initiatives and strengthen democratic processes.

  • Data Activism: Using data-driven approaches to promote transparency, accountability, and social justice.

  • Mental Health: Applying AI and data analysis to support mental health research and awareness campaigns.

  • Women’s Rights & Equality: Developing tools and analyses to address gender disparities and promote equality.

  • Immigration: Contributing technical expertise to projects that support and study immigrant rights and integration.

  • Open-Source & Free Software Movement: Actively contributing to and promoting open-source projects that democratize access to technology.