Industrial SolutionsEngineer & Automation Specialist

At SCA, manual data entry and formatting across XML web sources, Excel reports, and Access databases consumed hours of employee time and introduced data inconsistency.

Developed a suite of Python automation scripts to scrape and restructure XML web data (using libraries like Gazpacho), automate Excel data merging, and instantly execute precise updates in Access databases via simple ID inputs.

Laboratory test data across the facility was scattered in spreadsheets and paper logs, causing inconsistent records, delayed quality reports, and compliance risks during audits.

Built a foundational LIMS (Laboratory Information Management System) using LabWare and Python — automating data entry, structuring results in a SQL database, and generating automated quality reports that previously required hours of manual work.

Commercial businesses required a modern, cloud-based Point of Sale (POS) and inventory management system to track sales, invoices, and customer accounts securely.

Developed a comprehensive cloud POS system with Next.js, featuring real-time inventory tracking, sales processing, invoicing, and secure user authentication.

The church needed a unified digital platform to manage community interactions, events, and administrative tasks efficiently through a centralized dashboard.

Built a full-stack Next.js application featuring a public-facing website and a secure administrative dashboard for managing members, events, and content.

Needed a modern, fast, and accessible web portal to manage and present the "Overbus" project services effectively to end users, backed by a robust database.

Designed and developed a Full-Stack web platform using PHP and SQL for backend data management, seamlessly communicating with the frontend via JSON APIs to ensure a responsive, user-friendly interface.

The corporate website was outdated, unoptimized for mobile, and failed to adequately reflect the company's advanced technical capabilities to prospective clients.

Led the complete redesign and full-stack development of the new official corporate website, focusing on responsive UI/UX, SEO optimization, and modern web architecture.

A high-speed carpet manufacturing line relied on manual measuring — a process that introduced human errors, caused material waste, and created production bottlenecks that slowed the entire operation.

Designed and deployed a real-time Computer Vision system using Python & OpenCV on a Raspberry Pi. A fixed overhead camera continuously captures frames, extracts carpet boundaries via image segmentation, and feeds precise dimensions directly into the production control system — zero human input required.

Vehicle access at the industrial facility was managed manually — a process that was slow, error-prone, and created security gaps in logging who entered and when.

Developed an automated License Plate Recognition (LPR) system using Python, OpenCV, YOLO (Ultralytics), and EasyOCR. Camera feeds are processed in real-time to detect vehicles and extract plates, utilizing Scikit-Learn (KMeans) for advanced clustering, with logs generated automatically.

Standard barcode readers failed to keep pace with a fast-moving production conveyor. Items passed too quickly for traditional scanners, creating manual logging bottlenecks and reducing overall traceability.

Built a smart real-time scanner system on Raspberry Pi, using computer vision algorithms to detect, decode, and log barcodes from items moving at production speed — integrated directly with the inventory management database.

The company needed a digital transformation: an official online presence to reach global clients, plus a custom internal management system to optimize purchasing, sales, and invoicing workflows.

Developed and published the official corporate website. Concurrently designed and built a customized business management application (database and UI) to automate their daily operations.