All projects

I focus on studying how to make current ML models understand their surroundings more efficiently. Here is a list of some projects I've worked on, enjoy.

JPEG + Fourier Transform + Efficient CNN?

An intriguing idea about using JPEG compression to make neural networks learn faster.

JPEG CNN Fourier

What is it missing from LLMs to automate complex tasks?

I am exploring all the limitations and challenges left to solve in the area of LLMs in order to develop a fully automated smart assistant
LLM GPT Automation SmartAssistant TaskManagement

Autonomous Parking Takes Over FORD Factory!

This is the latest demo to date of our product in a fully operation vehicle manufactoring plant

Ford AVP AVP-type2 Kopernikus KopernikusAuto

About transformers

A quick exercise of coding a classic transformer from zero to get a full understanding of the logic behind it

Transformers Self-attention Math

International Motor Show (IAA 2021)

Some interesting videos of our product in IAA (The biggest mobility show in the world)

IAA IAA-2021 International-Motor-Show Internationale-Automobil-Ausstellung

Update: ML Lead

Some reflexions on my time as ML Lead at Kopernikus Automotive. I did not update this page for a while, because being involved in all internal projects demands time.

Lead Machine-Learning Team

A quick review of Differentiable Renderers

A quick review of Differentiable Renderers, more exactly a dive deep into SoftRas and a line-to-line understanding of the model

Maths Differentiable-renderers SoftRas

Shapes3D - Blender-python minimalist API

Open sourced library to simplify the work flow with blender for Computer Vision problems
Computer-Vision Rendering

Error State - Extended Kalman Filter

A "quick" review of how to derive the Error State - Extended Kalman Filter

Maths Sensor-Fusion Kalman-Filter

Unsupervised Depth Estimation Explained

Explaining how unsupervised depth estimation works and a re-implementation of the original paper
Maths Deep-learning Computer-vision

Generalized Advantage Estimator Explained

Explain and derive the definition of the Generalized Advantage Estimator

Maths Reinforcement-learning

Hierarchical Reinforcement Learning for Robustness, Performance and Explainability

Using Hierarchical Policies in order to improve the general performance of RL models
Hierarchical-RL Python DQN

Visual Perception for Autonomous Racing Car

Edinburgh University Formula Student - Perception Team
Perception ROS Object-detection

RL applied to Self-Driving Race Cars

Using TRPO in order to solve EUFS problem (Driving around a track)
RL TRPO ROS

Solving CarRacing with PPO

An easy, robust and fast solution for the CarRacing-v0 environment

RL OpenAI CarRacing-v0 PPO

CarRacing-v1

An significant improvement over CarRacing-v0
Gym OpenAI Python

Autonomous Guided Vehicle

Autonomous Guided Vehicle in an Experimental Autonomous Warehouse

Robotics ROS perception

Cross-Convolutional Neural Networks applied to Finance

Cross-Convolutional Neural Networks applied to Finance (working on ...)

Movement-prediction DNN

Agent-based Models applied to transportation

Agent-based Models applied to transportation

Robotics ROS

Solving the Rubik’s cube with Group Theory

For fun. Define a group and its properties to understand and solve the cube

Maths Rubik's-cube

Gameboy Zero

Gameboy Zero

Electronics Nintendo-Gameboy

Trueque Gamer

This is a project that a friend and I came up with when I found out how tedious it is to exchange games through Facebook groups

Maths Rubik's-cube

SomosUN

Platform to help all students to build and manage their curriculum during the undergraduate degree.

Maths Rubik's-cube