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Working from home
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Working from home

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@IBM @kserve

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rafvasq/README.md

LinkedIn

A growing software developer interested in MLOps and open source.

Formerly, a data scientist working on supervised learning and time series problems such as identifying and forecasting customer behaviour patterns in retail and contributing to a smart cities-related startup developing statistical models to identify road defects.

Previously, an MASc. student using reinforcement learning and virtual reality to teach a simulated vehicle to brake safely.

Projects I've contributed to:

Projects Stars
vLLM Stars
KServe Stars
ModelMesh Stars
InstructLab Stars
Caikit Stars
Machine Learning Exchange Stars

Popular repositories Loading

  1. InverOver InverOver Public

    My own implementations of InverOver, Dynamic InverOver, and GSInverOver algorithms in Matlab based on their papers

    MATLAB 4 2

  2. IntersectionSimulation-SA IntersectionSimulation-SA Public

    Simulating a signalized intersection (fifo) and optimizing the queue length using simulated annealing

    MATLAB 2

  3. Pedestrian-Intention-Prediction Pedestrian-Intention-Prediction Public

    Exploring pedestrian road-crossing intention and path prediction based on naturalistic data collected in virtual reality

    Jupyter Notebook 2

  4. fifa-pro-clubs-analysis fifa-pro-clubs-analysis Public

    An exploration of various FIFA Pro Clubs stats

    Jupyter Notebook 2

  5. ec2-manager ec2-manager Public

    Forked from taskcluster/ec2-manager

    JavaScript 1

  6. biogeme biogeme Public

    Biogeme models for Swiss metro data

    Jupyter Notebook 1 3