Bob Strahan
Principal Solutions Architect, AWS Generative AI Innovation Center
Herndon, Virginia, United States
Summary
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Rockstar🎓
Top SchoolBob Strahan is a Principal Solutions Architect leading AWS's Generative AI Innovation Center with 25+ years applying AI/ML and scalable data architectures across Fortune 500s and startups. He combines hands-on engineering—contributing to open-source projects like the AWS QnABot with context-memory and DevOps enhancements—with strategic product and roadmap influence inside AWS. His background spans building and managing large, global engineering teams and delivering high-scale, near-real-time analytics and AI systems from HP Vertica to AWS Redshift and Kendra integrations. Bob has a proven record of turning research and prototypes into production services, including LLM-powered contact center and productivity tools that became customer-facing offerings. Based in Herndon, VA, he blends deep systems-level expertise with business-facing leadership informed by an M.Sc. in Business Intelligence. Notably, he has hands-on experience across full lifecycle delivery—from low-level search/response logic in Lambdas to leading multi-disciplinary solutions architecture teams.
11 years of coding experience
30 years of employment as a software developer
B.Eng Electrical & Electronic Engineering, B.Eng Electrical & Electronic Engineering at Queen's University BelfastM.Sc. Business Intelligence, M.Sc. Business Intelligence at Saint Joseph's University - Erivan K. Haub School of Business
Stackoverflow
71reputation
3kreached
1answer
1question
Github Skills (10)
aws-lambda10
nodejs10
javascript10
aws9
artificial-intelligence8
machine-learning8
amazon-lex8
devops8
git6
aws-cdk6
Programming languages (9)
Github contributions (5)
aws-solutions/qnabot-on-aws
Nov 2017 - Jan 2023
AWS QnABot is a multi-channel, multi-language conversational interface (chatbot) that responds to your customer's questions, answers, and feedback. The solution allows you to deploy a fully functional chatbot across multiple channels including chat, voice, SMS and Amazon Alexa.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:1 release, 24 reviews, 398 commits in 5 years 3 months
Contributions summary:Bob contributed to the project by implementing and testing context memory features, which included changes to the search and response logic, likely using JavaScript in the `lambda/handler` directory. The user also made changes to the `website/admin/js/client.js` file, potentially improving user interface and settings. Further contributions involved merging branches, and addressing bugs, indicating a role in both feature development and code maintenance.
pythonmulti-languagechannelsawsalexa
aws-samples/amazon-transcribe-live-call-analytics
Dec 2021 - Nov 2022
Amazon Transcribe Live Call Analytics (LCA) Sample Solution
Contributions:31 releases, 36 reviews, 231 commits in 11 months
amazon-transcribeanalyticsamazonmachine-learningcall-center
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