Product engineer working on contact, group chat, and content search & discovery in Messenger and Instagram Direct; focusing on primarily client-side development (iOS) with some backend experience.

2021 Q3-2021 Q4: Software Engineer (IC3)

2022 Q1-2022 Q4: Software Engineer (IC4)

2023 Q1-Present: Senior Software Engineer (IC5)

• Enhanced a web application to enable analysts to compare historical quantitative models and their computation details in depth by designing and implementing over 30 graphical and analytical features using React, d3.js, MongoDB, and Redis

• Designed and built 3 multithreaded web services in flask and gunicorn that can store and rerun as many as 5000 historical models at the same time through remote containers managed by Kubernetes workers

• Reduced model processing time by over 20% by empowering analysts to better utilize smart caching and parallel processing through serializing remote model-run contexts and aggregating all historical execution dependencies from cached outputs

• Designing and building deep convolutional networks for dense leaves segmentation.

• Building image segmentation models to estimating the leaf coverage distribution in a garden and segment the leaves according to the plant types in the garden based on images taken from a top-down view camera.

• Developed a PyTorch module that can provide around 3x speed up and maintain the same performance by compressing individual layers in a deep learning model

• Reduced training latency by 50% and improved model precision by 10% by building learnable PyTorch kernels in C++ that provide support for lower-bit aggressive quantization aware training on both CPU and GPU