Paulo Dores

Founder

Yokohama, Kanagawa, Japan7 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in leveraging AI tools for business efficiency.
Proven track record in developing AI-driven projects.
Strong background in computer vision and machine learning.

Stackforce AI infers this person is a Robotics and AI Specialist with a focus on automation and intelligent systems.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Business Process AutomationPythonDataComputer VisionMachine LearningNatural Language Processing (nlp)Deep LearningC++

Other Skills

AI AgentsChatGPTIT Process AutomationConvolutional Neural Networks (CNNs)QtLangChainCGitProgrammingSoftware EngineeringSoftware DevelopmentAlgorithmsCSSHTMLHTML5

About

I teach professionals how to best leverage AI tools to produce more in less time. Developers who participated in my lectures mention that it made them way more confident to build AI systems. Office professionals with zero tech background share that the course they participated in greatly helped understand and use ChatGPT and similar tools with ease. My vision is to use AI to multiply, not replace. After all, AI needs context to work within your company, and the employees are the ones who most hold the context necessary.

Experience

7 yrs 11 mos

Total Experience

2 yrs

Average Tenure

Current Experience

Reachmind

Founder

Aug 2025 – Present · 9 mos · Yokohama, Kanagawa, Japan

AI AgentsArtificial Intelligence (AI)ChatGPTBusiness Process AutomationIT Process Automation

Wealthpark co., ltd.

Backend Engineer

Jun 2022 – Dec 2025 · 3 yrs 6 mos · Tokyo, Japan

ChatGPTPythonData

Zmp inc.

Software Engineer

Feb 2019 – Jun 2022 · 3 yrs 4 mos · Tokyo, Japan

Currently leading and developing a human-robot communication project using machine learning and NLP
Implemented computer vision modules into autonomous driving systems to improve object and human detection
Provided guidance on image data collection using stereo cameras for human detection in autonomous driving systems

Computer Vision

Keio university

Graduate Student Researcher

Mar 2016 – Mar 2019 · 3 yrs · Yokohama, Kanagawa, Japan

Developed a framework using two different convolutional neural networks (CNNs) to make robot waiters able to detect if cups are empty so they can remove the containers from the table or offer new drinks to customers
Researched about many deep learning methods including fine-grained object detections, residual networks, fully connected networks, etc
Created a new dataset for containers with new labels as well as relabeled crucial data for research purposes
Acquired knowledge and worked with different deep learning frameworks and libraries such as Caffe, Keras, TensorFlow, YOLO, Faster R-CNN, etc

Computer Vision

C3sl

Software Developer

Sep 2014 – Feb 2016 · 1 yr 5 mos · Greater Curitiba

Developed and maintained a scheduling system for small municipalities in Brazil using Ruby on Rails and JavaScript
Pro-actively suggested important GUI improvements for the system
Constantly used Gitlab for managing and creating branches as well as setting the system to production

Canassist

Co-op Software Developer

May 2014 – Aug 2014 · 3 mos · Victoria, British Columbia, Canada

Developed and implemented from the ground up an accessible Video Jukebox system for individuals with severe cognitive and physical disabilities
Developed the system using C++ and the Qt toolkit, as well as several native Linux multimedia capabilities
Quickly learned the Qt toolkit as it was my first time in contact with it and adapted to the organization's coding conventions, source control, and issue management processes
Independently suggested valuable feature enhancements that were included into the final product to make it more effective for the end user
Completed the development on schedule, with the systems being both configured and successfully delivered to clients
Demonstrated a thorough approach to testing, and produced effective and clear user documentation for training purposes