Tianhao Zhou is a data-driven finance professional and analyst with six years of cross-functional experience spanning audit, insurance, investment funds, and strategic risk consulting. Currently a Finance master's student at Brandeis with an Analytics MS from Northeastern, he combines rigorous quantitative training with hands-on industry research from internships at Deloitte and other firms. He has strong data analysis and visualization skills and has applied them to sector reports, financial audits, and benchmarking projects. Unusually for a finance-focused profile, he also contributes to open-source ML infrastructure—improving multi-GPU training and online ASR stability in the PaddleSpeech project—bringing practical MLOps and backend debugging experience. Based in Waltham, MA, Tianhao blends curiosity about influence and behavior with technical fluency to translate complex data into actionable strategic insights.
6 years of coding experience
Bachelor's degree, Business Administration and Management, General, Bachelor's degree, Business Administration and Management, General at Beijing Information Science & Technology University
Master's degree, Analytics, 3.7, Master's degree, Analytics, 3.7 at Northeastern University
Master's degree, Finance, General, Master's degree, Finance, General at Brandeis University
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
Role in this project:
Back-end Developer & MLOps Engineer
Contributions:12 reviews, 52 commits, 35 PRs in 3 months
Contributions summary:Tianhao's contributions primarily involve fixing and improving the multi-GPU training process for the Conformer model within the ASR framework. They made changes to the encoder and attention modules, specifically addressing issues related to multi-GPU configurations. Furthermore, the user has been involved in debugging and refining the online ASR engine, which includes integrating the Conformer model and optimizing the training pipeline.
Easy-to-use Speech Toolkit including SOTA/Streaming ASR with punctuation, influential TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
Contributions:73 pushes, 30 branches in 8 months
text-to-speechasrtranslationctcspeech-recognition
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