I am a Master's student at the University of Wisconsin-Madison, passionate about solving real-world problems through innovative technologies. With over 4 years of experience, I have worked on distributed systems, machine learning, and big data, delivering scalable and impactful solutions.
My journey began with a fascination for technology, leading me to pursue a career in software development. I thrive in collaborative environments and am always eager to learn and grow.
I'm particularly interested in distributed systems, cloud computing, and machine learning. My research focuses on developing scalable and efficient systems that can handle large volumes of data with low latency.
Improved multi-GPU training pipelines, boosting query accuracy by 30%.
Built scalable IoT frameworks, developed APIs, and reduced latency to under 1 second.
Specializing in distributed systems and machine learning.
Graduated with a degree in Computer Science, focusing on software development.
Building scalable and resilient distributed systems that can handle high loads with low latency.
Developing and deploying machine learning models that solve real-world problems efficiently.
Analyzing large datasets to extract valuable insights and drive data-informed decisions.
Designing and implementing robust APIs that enable seamless integration between systems.
Architecting cloud-native solutions that leverage the best of modern cloud platforms.
Creating modern, responsive, and user-friendly websites that stand out in the digital landscape.
Sharing my thoughts and experiences with the tech community through Medium articles.
Exploring the challenges and solutions in building distributed systems that scale efficiently to handle millions of requests.
A practical guide to deploying machine learning models in production environments with confidence and reliability.
Exploring the latest React patterns and frameworks for building efficient and maintainable frontend applications.
Feel free to reach out if you have any questions or opportunities.