Andrew Pawloski
Chief Technology Officer at NASA - National Aeronautics and Space Administration
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolAndrew Pawloski is a technology leader and Chief Technology Officer based in Philadelphia with a decade of experience building high-performance, highly-available distributed systems and cloud platforms. He has driven large-scale, security- and performance-sensitive engineering efforts at Element 84 and NASA, translating satellite and remote-sensing data into operational insights and near-real-time ML-enabled pipelines. Comfortable both architecting mission-critical cloud infrastructure and diving into backend/ML engineering, he has hands-on experience integrating LLMs into developer tooling—most recently adding model support and templates for phi-2 in the popular open-source Continue AI code assistant. Known for bridging R&D and production, he repeatedly turns complex requirements into maintainable, scalable systems across government and enterprise contexts. His background in HPC, NLP-driven search, and cloud security gives him a rare combination of deep systems knowledge and applied ML engineering.
10 years of coding experience
14 years of employment as a software developer
Bachelor's of Science Computer Science, Bachelor's of Science Computer Science at Temple University
Github Skills (14)
custom-configuration10
configurations10
ollama10
integrate10
yml-configuration10
system-configuration10
python10
llm10
openai9
ai9
typescript-types7
typescript7
typescripts7
vscode5
Programming languages (6)
Github contributions (5)
continuedev/continue
Dec 2023 - Jan 2024
⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:3 PRs, 4 comments in 20 days
Contributions summary:Andrew's contributions primarily focus on enhancing the LLM model support within the `continue` project. They added support for the "phi-2" model by integrating it with the Ollama and other underlying systems. This included updating configuration files and implementing necessary templates for both chat and edit functionalities, demonstrating expertise in LLM integration. Furthermore, the user's work involved modifying core components to support the "phi-2" model within the project's architecture.
aichatgptcopilotdeveloper-toolsintellij
Element84/pangeo-deployment
Jan 2019 - Mar 2019
Contributions:17 commits, 8 pushes, 1 branch in 1 month
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