Summary
Allan Peng is a senior software engineer in Berkeley with ~10 years of experience delivering scalable, production-grade systems across research and industry, and he maintains a personal site at www.allan.expert. He is currently a Senior Software Engineer at Databricks, focusing on distributed systems and cluster management. At Mod9 Technologies, he led Automatic Speech Recognition efforts using C++/Boost and Kaldi, boosting speaker segmentation accuracy from 15% to 4% and delivering a highly parallelized engine that transcribes audio up to 200x faster than real time, including training FST-Neural Net models for English and Spanish. Previously, as a Research Engineer at Berkeley RISE Lab, he contributed to PyWren.io, a serverless distributed execution engine, demonstrating a strong knack for scalable cloud computing. He holds a BS in Applied Mathematics and Computer Science from UC Berkeley and studied International Relations and Law at LSE, reflecting an interdisciplinary foundation that complements a practical, collaborative approach to building modern software.
11 years of coding experience
3 years of employment as a software developer
University of California, Berkeley