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ksek87/README.md

Keelin Sekerka

AI product & solutions  ·  customer discovery  ·  solution architecture  ·  GTM


I enjoy helping customers get to the right AI solution: understanding the problem they're actually trying to solve, working through the options with them, and seeing it land. Outside of work, I like building things to learn and experiment. Lately that's been AI security and agent observability, and right now I'm curious about LLM inference.

Comfortable across the full arc — research and engineering through to product, pre-sales, and commercial.

I care a lot about building AI responsibly. Reading Weapons of Math Destruction in an undergrad philosophy class is a big part of why I went into AI in the first place, and it's shaped my path since: mission-led startups, B Corps, and the AI4Good Lab at Mila.


Projects

fuzzd   Rust Python

Adversarial fuzzer for MCP servers — tool poisoning, shadowing, and rug-pull attacks. ~91% MCPTox coverage. Deployable as a CI/CD security gate.


recut-ai   Python

Agent observability — intercepts live runs mid-flight, forks from any step, flags behavioural drift. Framework-agnostic.


sniff_ai   Python

Turns a memory or feeling into a professional fragrance composition. RAG · custom NER · scent classifiers.



Python Rust TypeScript PyTorch Hugging Face YOLO NVIDIA Jetson Docker Azure MCP LLMs


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  1. fuzzd fuzzd Public

    adversarial security scanning and testing for MCP servers and agentic tool surfaces.

    Rust 2

  2. recut-ai recut-ai Public

    Agent observability with mid-flight interception and counterfactual replay.

    Python 1

  3. sniff_ai sniff_ai Public

    An NLP-powered, Agentic AI approach to Perfumerie. Create custom fragrances using poetry.

    Jupyter Notebook 5

  4. themm1/procyclingstats themm1/procyclingstats Public

    procyclingstats scraper

    Python 104 37

  5. trigger-warning-classification trigger-warning-classification Public

    Natural Language Processing project exploring the classification problem of 'triggering' content on social media.

    Jupyter Notebook 1

  6. c45-decision-tree-medical-data-mining c45-decision-tree-medical-data-mining Public

    Data Mining project to implement Quinlan's C4.5 decision tree algorithm from scratch for medical data mining using the Thyroid allbp dataset

    Python 2