Blake Wood
Senior Software Engineer at APARAVI
Los Angeles, California, United States
Summary
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SeniorBlake Wood is a Senior Software Engineer based in Los Angeles with 11 years of experience building scalable, production-grade systems across Python, TypeScript, NodeJS, C#, and AWS. He blends backend data engineering and NLP expertise—having integrated BERT into Rasa NLU and contributed debugging and evaluation tooling to the popular Rasa project—with full‑stack product work in React/Next.js and NestJS. Blake has a track record of performance-focused rewrites (reducing a data import from 50 to 4 hours) and shipping SaaS platform features like no-code chatbot builders and client-facing GraphQL gateways. He mentors engineers, accelerates CI/CD through containerization and GitHub Actions, and iterates quickly from prototypes to reliable services. Unusually, he used a sabbatical to both travel and produce two GPT-powered apps that combine LangChain, NestJS, and React—demonstrating continual learning and practical AI experimentation while offline.
11 years of coding experience
9 years of employment as a software developer
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
nlu10
machine-learning10
eval10
rasa10
python10
evaluation10
pytest9
testing9
nlp9
bot-framework8
conversational-ai8
chatbot8
Programming languages (11)
Github contributions (5)
RasaHQ/rasa
Oct 2018 - Feb 2019
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:
ML Engineer
ML EngineerContributions:15 commits, 3 PRs, 3 comments in 3 months
Contributions summary:Blake primarily contributed to the evaluation and debugging aspects of the Rasa NLU framework. They modified the Dialogflow emulator to correctly reflect intent names and action completeness. They added and modified evaluation scripts to output successful and erroneous predictions to files, which is useful for debugging. The user also refactored the evaluation script, introduced a metrics report, and made code climate fixes.
nlupythonbotspeech-recognitionbotkit
Revmaker/Getit
May 2018 - Jul 2019
A GraphQL Client Query Builder For .NET
Contributions:17 commits, 6 PRs, 10 pushes in 1 year 2 months
graphql-clientquerydotnetbuilderquery-builder
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