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Currently, a growing software developer interested in MLOps and open source and maintainer of KServe/ModelMesh.

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.

Languages I've coded in:

Python C Sharp Java Go SQL

Tech I've built on:

IBM Cloud OpenShift Docker Kubernetes Unity Databricks

Tools I've worked with:

Git Jest Botium IBM Watson Spark Pandas Sklearn homebrew

Projects I've contributed to:

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

Rafael Vasquez's Projects

airsim icon airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

biogeme icon biogeme

Biogeme models for Swiss metro data

cage-challenge-4 icon cage-challenge-4

The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. This CAGE Challenge 4 (CC4) returns to a defence industry enterprise environment, and introduces a Multi-Agent Reinforcement Learning (MARL) scenario.

caikit icon caikit

Caikit is an AI toolkit that enables users to manage models through a set of developer friendly APIs.

five-fifths-voter icon five-fifths-voter

Five Fifths Voter is a web application tool designed to enable and empower Black people and others to exercise their right to vote by ensuring their voice is heard

gocasts icon gocasts

Companion Repo to https://www.udemy.com/go-the-complete-developers-guide/

hugo-academic icon hugo-academic

The website builder for Hugo. Build and deploy a beautiful website in minutes :rocket:

ibm-vllm icon ibm-vllm

IBM fork of github.com/vllm-project/vllm

incident-accuracy-reporting-system icon incident-accuracy-reporting-system

Incident Accuracy Reporting System (IARS) is a Content Management application that addresses the issue of transparency surrounding police incident reporting by allowing witnesses and/or victims to directly submit evidence (images, videos)

instructlab icon instructlab

Command-line interface. Use this to chat with the model or train the model (training consumes the taxonomy data)

inverover icon inverover

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

katalog icon katalog

MLX Katalog is a project to hold the default content samples to bootstrap Machine Learning eXchange.

kserve icon kserve

Standardized Serverless ML Inference Platform on Kubernetes

kuberay icon kuberay

A toolkit to run Ray applications on Kubernetes

mlserver icon mlserver

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

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