Hello, I’m

Cristhian Wiki

1  class Person {
2      constructor() {
3        this.name = "Cristhian Wiki";
4        this.traits = ["RESEARCH", "DEV"];
5        this.age = new Date().getFullYear() - 1998;
6      }
7  }

Things I love

Creative Coding

Python allows me to easily convert my ideas with just a few lines of code, and that has saved me more than once

Machine Learning

+2 years of experience in training models for various usecases

DevOps

I solve your data science and software development problems with scalable and robust solutions

About Me

Hi, I'm Cristhian Wiki, a passionate machine learning engineer and self-taught researcher from Peru. I am a pytorch lover, very interested in the creation of novel neural network architectures (SOA), as well as their rapid implementation and accessibility (using MLOps tools).

My goal as a human being is to be able to change the world and make it a better place (using deep learning and lots of creativity).

“Any fool can write code that a computer understands. Good programmers write code that humans can understand.”


- Martin Fowler

“Nothing interferes with my concentration. You could put on an orgy in my office and I wouldn't look up. Well, maybe once.”


- Isaac Asimov

“Somewhere, something incredible is waiting to be known.”


- Carl Sagan

My Skillsets

Tensorflow

Kubeflow

Cuda

MLflow

Pytorch

ONNX

Flask

Pytorch Lightning

Captum

Side Projects

Blood Cells Detection System 🔬🩸

This work proposes a fast and inexpensive system for the recognition of 3 types of blood cells based on convolutional networks. Our DL model is characterized by having reduced inference times, and also ease of deployment in hardware with reduced resources such as a Raspberry Pi.

Medical Chatbot Unimedic 🤖💬

Unimedic is a chatbot capable of responding to different medical queries in real time. It also performs segmentation of medical images (especially brain images) using Deep Learning models, and then provides some recommendations.

Deep Learning Collection

Implementations to learn about ML, DL, PyTorch and TensorFlow from basic to advanced level.

Chatbot with PyTorch 🤖

The architecture used was a feedforward network (very simple). The network receives a input vector as a result of preprocessing (length equal to size of bag of words). Subsequently, it shows the user a random response (from the json file) based on that category.

Snake with PyTorch 🔥

The agent will learn to find the right way to get to his reward (food); to do this, it will use DQN techniques, which combine Bellman's equations and neural networks for estimating the Q values. The agent was built with PyTorch, while the game environment was built with PyGame (if you want you can opt for GYM).

Deep Learning with Javascript 💛

Mnist with Onnx

Running mnist digits classifier in the browser using ONNX.js

Get In Touch

Thank You

Do You Have Any Queries?

cristhian wiki

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