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30 followers · 9 following

Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: Starstruckx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: Starstruckx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

Organizations

@ecrl@Cognitive-Chemistry-Labs

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tjkessler/README.md

Travis Kessler

PhD Computer Engineering · Full-stack · ML/AI · Scientific computing

Production software and ML systems grounded in published research — from scientific modeling and open-source tools to SaaS platforms and large-scale agentic analytics.

PythonTypeScriptPyTorchFastAPIReact

WebsiteLinkedInEmailBuy Me a Coffee

Focus

Full-stack

Production platforms (TypeScript, FastAPI, Supabase, Modal) — e.g. Cognitive Chemistry Labs


ML / AI

Agents, transformers, RAG, MLOps, and agentic analytics at scale


Scientific computing

QSAR/QSPR & fuel-property ML; open-source research tooling


Open source

Primary author/maintainer of the pinned ECRL packages — including PaDELPy. More work: traviskessler.com/projects.

Research

12 peer-reviewed publications in combustion, QSAR, and fuel-property ML (Fuel, Proceedings of the Combustion Institute, JOSS, and others). Full list: traviskessler.com/research.

Contact

Available for select work — email or traviskessler.com.

Support my open source — Buy me a coffee.

Pinned Loading

  1. ecrl/padelpyecrl/padelpyPublic

    Python API for PaDEL-Descriptor molecular descriptor and fingerprint calculation

    Python 233 40

  2. ecrl/ecnetecrl/ecnetPublic

    QSPR-based PyTorch models for fuel property prediction, with bundled datasets and analytical blend rules

    Python 19 7

  3. ecrl/graphchemecrl/graphchemPublic

    Molecular graph neural networks for predicting chemical properties, with a focus on fuels

    Python 34 7

  4. ecrl/ecabcecrl/ecabcPublic

    Artificial bee colony optimizer for user-defined parametric fitness functions

    Python 11 6

  5. KoopmanGraphKoopmanGraphPublic

    Topology-aware Koopman autoencoders for forecasting and analyzing networked dynamics

    Python

  6. chem-research-mcpchem-research-mcpPublic

    MCP server + literature RAG over open combustion / QSAR / fuel-chemistry papers. Ask in the browser or wire Cursor / Claude Desktop to the same tools.

    Python