Joaquin Franco

Data Scientist

https://talent.gravityer.com/joaquin-franco

Software Engineer

Woven by Toyota

Key Strengths

Extensive personal project experience in Data Science and Machine Learning, particularly with PyTorch and CV models (MiDaS, MoveNet, NeRF).
Demonstrated ability to build and deploy ML-based systems (e.g., depth-mapping, torchcam, gymai, holo-nerf).
Proficiency in Python, a core language for Data Science.
Experience with infrastructure-as-code concepts (olympus-network) and monitoring (infraboard), which can be valuable for MLOps.
Current role as a Data Scientist at Woven by Toyota indicates professional experience in the field.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards personal projects, indicating self-motivation and a passion for technology. The diversity of projects, from computer vision to algorithmic trading and infrastructure, suggests a broad interest in technical challenges. However, without information on team-based projects or contributions to open-source, it's difficult to fully assess collaborative cultural fit. The current role at Woven by Toyota aligns well with the target role, suggesting a professional fit.

Soft Skills & Operational Fit

The provided data is insufficient to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

delphi-cli

May 17, 2026 – Present

Utility tool for Claude TUI

View Project

hackstack

March 5, 2026 – Present

Quickstart templating CLI for my most common Go-based project structures

View Project

postfacta

February 1, 2026 – Present

Backend service to aid in post-incident analysis by turning scattered signals into a coherent, structured incident record

View Project

infraboard

May 24, 2024 – Present

Streamlit-based dashboard for monitoring environment performance

View Project

stockpyle

May 18, 2023 – May 28, 2023

Python-based algorithmic trading bot

View Project

gymai

April 17, 2023 – July 24, 2024

Single-camera CV-Based Form Checker for Powerlifting Depth Judging. Utilises the MoveNet Pose Detection model

View Project

torchcam

December 25, 2022 – December 13, 2024

Applying PyTorch MiDaS model on live CV capture

View Project

depth-mapping

December 22, 2022 – January 10, 2025

3D scene mapping system that using PyTorch's MiDaS model to estimate scene point cloud

View Project

holo-nerf

December 22, 2022 – March 29, 2025

A PyTorch-based implementation of Neural Radiance Fields for applications in generating 3D spatial data for holography applications

View Project

olympus-network

November 23, 2022 – June 8, 2024

Virtual playground for experimenting with software infrastructure via VMs

View Project

Key Strengths

Extensive personal project experience in Data Science and Machine Learning, particularly with PyTorch and CV models (MiDaS, MoveNet, NeRF).
Demonstrated ability to build and deploy ML-based systems (e.g., depth-mapping, torchcam, gymai, holo-nerf).
Proficiency in Python, a core language for Data Science.
Experience with infrastructure-as-code concepts (olympus-network) and monitoring (infraboard), which can be valuable for MLOps.
Current role as a Data Scientist at Woven by Toyota indicates professional experience in the field.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Joaquin Franco

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit