I’m an ML Engineer with a software engineering background and an MS in EECS. My recent work has been around deep learning, computer vision, medical imaging and data workflows for real-world ML systems. Before moving deeper into ML, I worked as a backend Software Engineer building payment processing systems with Java/Spring, REST APIs, and SQL databases.
I’m looking for Applied ML/ML Engineer, Computer Vision Engineer, or SWE roles. I’m especially interested in teams building practical ML systems, scalable inference/data pipelines, backend platforms, or applied AI products.
I’m an ML Engineer with a software engineering background and an MS in EECS. My recent work has been around deep learning, computer vision, medical imaging and data workflows for real-world ML systems.
Before moving deeper into ML, I worked as a backend Software Engineer building payment processing systems with Java/Spring, REST APIs, and SQL databases.
I’m looking for ML Engineer, Applied ML Engineer, Computer Vision Engineer, Backend/ML Infrastructure Engineer, or Software Engineer roles. I’m especially interested in teams building practical ML systems, scalable inference/data pipelines, backend platforms, or applied AI products.
Technologies:Python,FastApi,Flask, Java, Spring Framework, PyTorch, Tensorflow, C/C++, PostgreSQL, MATLAB,ROS. A little bit of JS with React and express.js.
I'm currently an MS EECS student and a Graduate Student Researcher at UC Merced. My academic focus and hands-on experience are in machine learning, deep learning, and computer vision. I focus on optimizing Deep Learning model performance.
Professionally I have ~3 years of exp as a Backend Software Dev developing payment processing pipelines and integrated them with third-party payment settlement systems (HKICL, BPay to name a few).
I am passionate about solving complex problems and delivering high-impact solutions. I am looking for opportunities as an ML/DL engineer or Backend SWE once I graduate (May 2025).