Brazil

Industrial Design

Product Design

Generalist Product Management

Technical Product Management

Data Product Management

Platform Product Management

Group Product Management

Front-end

Back-end

Full stack

Data Engineering

Data Scientist

Technical writing

Business Development

Project Management

Data engineering

Development Operations

Architectural Engineering

Data Analysis

Hardware Design

Business Transformation

Design Systems

AI/ML Engineering

Systems Design

Computer Vision

Generative AI

AI Product Management

RWTH Aachen University

Universidade Estácio de Sá

Federal University of Santa Catarina (UFSC)

Yuri Winche Achermann

Founding Engineer

Projects

Resume

Usability Testing

Statical Analysis

Relationship management

Referrals

Quantitative research

Monetisation

Public Speaking

Partnership

Probability

Product analytics

Product strategy

Prototyping

Qualitative research

Communication

Collaboration

Problem-solving

Time management

Critical-thinking

Team player

Organisation skills

Presentation skills

Customer service

Conflict resolution

Stakeholder management

Leadership

Project management

Analytical skills

Advanced data analytics

AI/ML

Business intelligence

Conversational AI

Chatbot

Cloud computing

Data mining

Data visualisation

Database management

Deal strategy

Design systems

Forecasting and reporting

Human computer interaction

Information architecture

Machine learning

Market research

Mathematics

Integration Testing

CAD design

User research

Product roadmap

Python

PyTorch

React

Blender

Docker

Figma

GitHub

JavaScript

REST API

RabbitMQ

PostgreSQL

Linear

Node.js

Angular

Cursor

Introduce yourself, define mentoring expectations and goals. Learn and grow together.

General mentorship

•	Lead development of an MES and machine-telemetry platform for CNC-based discrete manufacturing; responsible for architecture, data operations and AI integration with a team of 3 engineers.
•	Built shop-floor connectivity using OPC UA, MTConnect, MQTT and Fanuc FOCAS; scaled the connected-machine network to 150 machines across 30 client plants.
•	Implemented AI-supported quoting and CAM-automation features with digital-twin job validation, reducing first-article scrap in pilot deployments.

•	Led the development of an AI-based predictive maintenance software platform for manufacturing.
•	Designed Data Diagrams and established Cloud Structure for data management.
•	Developed Business Case, Financial Planning, Market Report, Client Survey Database, Competitors Table and Investors List.
•	Created the Branding including Institutional Website, Pitch Deck, and Demo Video.
•	Managed a small team, driving software development, data operations, and AI model integration.

•	Software concept of tool wear assessment platform for the machining domain.
•	Software development as web application using Next.js, React, Node.js and Typescript.
•	Data model conceptualizing and implementation in Blob Storage and File Storage.
•	Implementation of image data acquisition services and camera systems interface services.
•	Development of pipeline for analyzing and tuning the hyperparameters of neural network.
•	Analysis of tool wear patterns and factors influencing wear and use of statistical methods on the collected data.
•	Preparation of tool wear experiments reports and communicating results to the research team.
•	Deep Learning models architecture optimization to a prediction accuracy improvement by ~15%
•	Support on dPart streamlining cutting force into separate components based on the coordinate systems.
•	Support on Frontend for tool resources management software.

•	Salesforce ETL to AWS S3, Data Factory ETL from multiple sources to PostgreSQL
•	Development of internal Software for project cycle control, staff allocation, onboard training, CRM, financial planning, calendar, and dashboard metrics report.
•	Implemented a new workforce allocation project, utilizing Python's clustering algorithm and Google OR-Tools' Minimum Cost Flow CP-SAT Solver to optimize scheduling for salespeople with specific time and frequency requirements.

Yuri Winche Achermann🇧🇷

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