Full-stack Developer
2019 - PRESENTSelf-Employed- Contributed to pipelining software for distributed software flows. Implemented containerization, ensuring distributed workflows could be run in predictable environments on a fleet of AWS machines.
- Created middlelost.com, an online-only poetry journal.
- Wrote legislython, an API for Congressional voting data.
Technologies: Keras, TensorFlow, Kubernetes, Docker, Flask, Python, JavaScriptSoftware Engineer
2018 - 2019Google- Led internationalization efforts for visual search in Google Lens. I expanded support for shopping and other verticals to Chinese, Korean, and Japanese languages via improved tokenization and part-of-speech detection.
- Helped integrate geolocation data into visual search, allowing visual search to identify nearby locations more accurately.
- Applied semantic information from ML models and static ontologies to improve information retrieval recall for visual search.
- Strategized with other engineers how to handle right-to-left scripts, e.g. Perso-Arabic, when overlaying translated text in Google Lens.
- A/B tested changes to retrieval model. Assessed user comparisons of outputs to determine whether a proposed algorithm change would positively affect quality.
Technologies: Google Mock (GMock), gRPC, Python, C++Software Developer
2017 - 2018Self-employed- Contributed to MiPandas, a genomics data visualization interface. Created visualizations in React/Redux and served data from a Flask back end. Dockerized the application.
- Wrote a language detection system for hospitals using PocketSphinx. This system leveraged an acoustic model with support for the union of phonemes in 10 different languages, then classified the resulting phonemes.
- Built a website for a Persian cultural center. I used WordPress to prototype a front end quickly, then added some additional functionality by wrapping a Flask back end.
Technologies: Redux, React, Docker, Python, C++Software Engineer
2014 - 2017Google- Built an LSTM-based model to predict nonce compound words in German. This improved the orthographic accuracy of Google's state-of-the-art ASR system and paved the way for similar normalization in other languages.
- Found new data sources and experimented with different preprocessing and sampling to improve automated speech recognition performance in over sixty languages, including a WER improvement of 33% in Hindi.
- Enabled state-of-the-art language models in over one hundred languages for GBoard.
- Spearheaded the incorporation of Google's Keyboard language model pipeline into the speech team's infrastructure. Wrote unit and integration tests to make the Keyboard pipeline more robust.
- A/B tested new language models. Assessed user comparisons of outputs to determine whether a proposed algorithm change would positively affect quality.
Technologies: Borg, TensorFlow, Python, C++
Cory Massaro
Software Developer in San Jose, CA, United States
Member since August 5, 2019
Cory worked at Google for four years. He last worked on a multimodal visual/linguistic information retrieval system. Before that, he worked on internationalization and language modeling for the Speech and Keyboard team. Cory holds a master's degree in natural language processing and has built various information extraction systems as an intern during his time in graduate school.
Cory is now available for hire
Portfolio
- Self-EmployedKeras, TensorFlow, Kubernetes, Docker, Flask, Python, JavaScript
- GoogleGoogle Mock (GMock), gRPC, Python, C++
- Self-employedRedux, React, Docker, Python, C++
Availability
Part-time
Preferred Environment
Bash, Linux, Vim Text Editor, C++, Kubernetes, Docker, Node.js, React, JavaScript, TensorFlow, NLTK, Keras, Python
The most amazing...
...project I've contributed to was language modeling for GBoard—state-of-the-art performance in over 100 languages!
Employment
Experience
- Legislython (Development)https://github.com/flosincapite/legislython
An API that consumes voting data from senate.gov. This API transforms the underlying XML into Python objects for use in web and analytics applications. I have also wrapped the API in a simple Flask application to allow users to generate downloadable CSVs.
Skills
Languages
Python 3, Python 2, C++, Bash, Python, SQL, C++11, C++14, JavaScriptFrameworks
Flask, Django, gRPC, Google Mock (GMock), ReduxLibraries/APIs
NumPy, Keras, Flask-RESTful, jQuery, SciPy, Pandas, NLTK, TensorFlow, React, Node.js, PyTorch, Scikit-learnParadigms
REST, Data SciencePlatforms
Ubuntu, Ubuntu Linux, Amazon Web Services (AWS), Linux, Docker, KubernetesStorage
PostgreSQL, SQLite, Databases, ElasticsearchOther
A/B Testing, Bash Scripting, Big Data, Deep Learning, Machine Learning, Natural Language Processing (NLP), Speech Recognition, Speech to Text, Entity Extraction, AWS, Full-stack, Data Analytics, Natural Language Understanding (NLU), Information Extraction, Information Retrieval, Entity Relationship Modeling, Clustering, Unsupervised Learning, Clustering Algorithms, K-means Clustering, Borg, Ajax, Data Analysis, SAP SDTools
Vim Text Editor, JSX, VirtualBox
Education
- Master of Arts degree in Computational Linguistics2012 - 2014Brandeis University - Waltham, MA
- Master of Arts degree in Comparative Literature2010 - 2012University of California, Santa Barbara - Santa Barbara, CA
- Bachelor of Arts degree in Creative Writing2006 - 2010Duke University - Durham, NC
