Currently looking for software engineer opportunities.
I worked as a full-time software engineer at Apple working for Siri (Siri Communication Products) [Dec. 2022-Mar. 2024].
In Summer 2021, I worked at Apple as a AI/ML Domains Software Engineering Intern on the Siri Experience (Siri Messages) team. I worked on the identification and classification of important messages in Siri Messages. I enjoyed the work and the creation of the prototype.
In Summer 2020, I worked at Apple as a Software Engineering Intern on the iOS System Experience team. I designed and implemented machine learning classifier for incoming text-based bug reports using Swift NLP APIs. My work performance was enjoyable and I liked learning about creation using Swift.
In Spring 2020, the spring semester of sophomore year, I worked with Statistics postdoc Xiaowu Dai to research the generalization gap associated with large batch training. I implemented and experimented with multiple neural network architecture models (AlexNet, VGG).
In Fall 2019, the fall semester of sophomore year, I worked at Berkeley SETI Research Center as a undergraduate researcher and was accepted through the Berkeley URAP program. I trained a convolutional neural network to distinguish fast radio bursts (FRBs) from radio frequency inference (RFI). I integrated the training models into Breakthrough Listen signal-retrieval pipeline.
I also contributed to course software for Berkeley's CS61A course.