Ramy FahmyIndustrial Solutions Engineer & Automation Specialist

Manual data entry and multi-sheet reconciliation across legacy XML web feeds, Excel reports, and Microsoft Access databases consumed over 15 hours weekly per operator, introducing data divergence and audit vulnerabilities.

Engineered an automated Python ETL daemon utilizing Gazpacho for resilient XML web scraping, Pandas and OpenPyXL for deterministic data schema reconciliation, and PyODBC for atomic transactional updates directly into the production Access database upon ID entry.

Quality control test records across production units were segregated across paper work orders and unvalidated spreadsheets, risking regulatory non-compliance, batch release delays, and fragmented traceability.

Architected and implemented a centralized Laboratory Information Management System (LIMS) leveraging LabWare and custom Python middleware. Automated test ingestion, enforced schema-validated SQL persistence, and configured automated compliance audit report generation.

Continuous high-speed carpet loom output relied on manual tape measurement, causing dimensional inaccuracies, fabric scrap waste, and costly conveyor line stoppages.

Designed an edge-computing inspection station on Raspberry Pi paired with overhead optical sensors. Developed custom OpenCV segmentation and sub-pixel edge detection algorithms with memory garbage collection optimization for real-time dimension telemetry fed directly into the production controller.

Industrial facility vehicle gate access was manually tracked on paper logs, creating vehicle queue bottlenecks during shift changes and unverified perimeter security.

Developed an automated edge LPR pipeline utilizing YOLO object detection, EasyOCR character extraction, and Scikit-Learn KMeans image segmentation for multi-exposure plate verification under harsh ambient lighting.

High-velocity conveyor lines moved products too rapidly for standard handheld optical scanners, dropping package scans and creating manual inventory bottlenecks.

Built an unattended scanning apparatus with Raspberry Pi and industrial lens, using OpenCV adaptive thresholding and pyzbar decoding to capture and log 1D/2D symbologies at full conveyor velocity with zero dropped frames.

Retail operations suffered from isolated cashier stations, delayed stock replenishment alerts, and lack of real-time sales visibility across remote locations.

Architected a mission-critical cloud POS application on Next.js with real-time stock synchronization, transaction ledgering, automated invoicing, and role-based security.

Global trade operations required digital workflow modernization to consolidate international procurement, client inquiries, and transaction records.

Delivered official corporate web platform alongside a custom internal management system with schema-validated relational database and custom administrative tooling.

Corporate digital presence failed to reflect deep engineering capabilities, suffered from performance degradation, and lacked responsive architectural standards.

Architected end-to-end full-stack redevelopment prioritizing deterministic load performance, responsive CAD-level UI clarity, and structured technical service presentations.

Fleet transit schedules and passenger service points were fragmented across static tables, lacking real-time query speed and mobile accessibility.

Engineered an accessible web platform with PHP/SQL backend and JSON API communication for rapid transit schedule lookups and mobile route indexing.

Administrative coordinators faced difficulties in maintaining accurate member directories, scheduling community events, and delegating permissions.

Constructed a full-stack Next.js web application equipped with an authenticated administrative dashboard for secure member records, event calendars, and updates.