Ma Cancan
Shenzhen, Guangdong Province, China
Summary
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RockstarCan Ma is an experienced ASIC design engineer based in San Jose with nine years focused on digital integration, low-power flows, timing closure and DFT across top-tier companies including Meta, Samsung, Google, Marvell and Amazon Kuiper. He has end-to-end tapeout experience and a proven track record of building hierarchical, highly correlated power and formality flows that sign off production chips and resolve complex ECO and tool issues. His work spans CPF/UPF low-power methodologies, full-chip and custom-layout timing analysis, SpyGlass lint/CDC/RDC automation, and MBIST/DFT flow development for GPU and AI silicon. At Amazon Kuiper he advanced early-stage RTLA power analysis and single-digital correlation with PD, and at Facebook he delivered zero-error CDC hierarchies on billion-gate designs. He also contributes machine-learning tooling on GitHub, integrating BERT fine-tuning into an NER pipeline, showing a breadth beyond hardware into software-driven ML deployment.
9 years of coding experience
Github Skills (11)
named-entity-extraction10
machine-learning10
nlp10
named-entity-recognition10
entity-extraction10
tensorflow10
python10
bert10
natural-language-processing10
flask-ask7
flask7
Programming languages (3)
Github contributions (5)
macanv/BERT-BiLSTM-CRF-NER
Dec 2018 - Feb 2020
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Role in this project:
ML Engineer
ML EngineerContributions:44 commits, 7 PRs, 59 pushes in 1 year 2 months
Contributions summary:Ma primarily contributed to the implementation and refinement of a Named Entity Recognition (NER) system using a BiLSTM-CRF model. The commits show modifications to the core NER model, including the addition of training parameters and adjustments to the CRF layer. Furthermore, the user integrated BERT fine-tuning and incorporated server-side support for model deployment and inference, evidenced by the addition of server and client support along with relevant code changes.
bertbilstmcrffine-tuningtensorflow
macanv/MQNLP
Dec 2017 - Jan 2018
自然语言处理相关实验实现 some experiment of natural language processing, Like text classification, named entity recognition, pos-tags, segment, key words extractor, auto summarize etc.
Contributions:7 commits, 90 pushes, 1 branch in 1 month
named-entity-recognitionnatural-language-processingtext-classificationfasttexttextclassification
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