As a Salesforce Developer/Administrator for a Salesforce integration company, I get to do a lot of cool stuff:Integration: I use Salesforce's standard features and automation tools like Flow, Process Builder, Workflow Rules, and Approval Processes to make sure all our systems work smoothly together.Custom Development: I create custom components and features based on what our clients need, using Apex, Visualforce, Lightning Web Components (LWC), and Aura.Project Delivery: I develop, test, and deploy various solutions for our multinational projects. We work in an agile environment and use Jira to keep everything on track.

• Experienced in building custom software tailored to client needs using a variety of tools and technologies.• Led the development of SCADA & HMI systems using Ignition and other software applications.• Managed AI projects from research to design and development of custom AI models.• Created and managed virtual machines and network configurations for company and client requirements.• Provided technical support to both company employees and external clients, diagnosing and resolving software issues such as bugs and crashes.Projects:• TetraPak HMI System Reverse Engineering and Redeployment - Reversed engineered an existing HMI system for a TetraPak industrial machine using FactoryTalk View by Rockwell Automation. - Rebuilt the entire UI, making it identical to the original system for a seamless transition for operators. - Deployed the new HMI system to an all-in-one device and connected it to the machine.• DigiCrop: A Real-Time Dashboard and Data Collection System - Assisted with bugs fixing and new features development for an Electron JS application with an ExpressJS backend, utilizing Lit for frontend components and Passport.js for user authentication. - Contributed in the successful migration of the application to a new optimized codebase using Rust for the backend and Nuxt.js for the frontend, ensuring improved performance and scalability. - Worked on a multi-threaded system that connects to various devices using OPCUA, Modbus, and Snap7 protocols, and uses MSSQL and SQLite databases.• Quality Inspector: A Computer Vision App for Defect Detection - Developed a Computer Vision-based quality control application using Python and the Qt framework. - Preprocessed and treated acquired data for the training of a deep learning model to achieve 97% accuracy in real-time defect detection. - Optimized the application to run seamlessly on edge devices, achieving an impressive average inference time of 0.1 ms.