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Schedule Interview NowMy name is Omer G. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Responsive Design, CSS 3, HTML5, Docker, PostgreSQL, etc.. I hold a degree in Bachelor of Science in Information Technology, Bachelor of Science in Information Technology. Some of the notable projects I’ve worked on include: n8n automation workflow, Gmail Invoice Automation, Invoice OCR Extraction, Easy Web Scraper, Your Local AI Assistant, Powered by FastAPI & Mistral, etc.. I am based in Ankara, Turkey. I've successfully completed 10 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
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It brings the email information from the form to Google Sheets. If there is an email in Sheets and it matches the one in the submitted form, it will not add it to Google Sheets. If there is no match, it will first perform an analysis of the person using Ollama Llama 3 and then add it to Google Sheets. It will then send an official email to the added person to indicate that the application has been successfully received. Another email will notify us that a new application has been received.
This Python-based tool automates downloading invoice attachments from your Gmail account. It scans incoming emails, filters invoices based on sender or keywords, downloads PDF attachments, and organizes them into company-specific folders automatically. The script simplifies invoice management by automating repetitive tasks, making it easier to handle large volumes of invoices efficiently. Easy to customize and integrate with other accounting or storage workflows.
Streamline invoice processing with this Python-based OCR solution. It uses open‑source OCR engines to extract key fields like invoice number, date, total amount, vendor name, and line items from scanned or PDF invoices. The script handles image cleanup, text recognition, and data parsing quickly and accurately. Outputs results in structured JSON or CSV formats, ready for integration with billing, accounting, or ERP systems. Clean, modular, and easily customizable for new invoice templates.
This is a lightweight and beginner-friendly web scraping tool built with Python. It uses requests and BeautifulSoup to extract structured data from static websites efficiently. The goal of this project is to simplify the process of gathering data from the web, even for users with limited technical background. * Clean and modular Python code * Easy to configure target URLs and extraction rules * Exports data in CSV or JSON format * Fast and efficient scraping for static websites * Great base for building custom scrapers or automation scripts
This project is a production-ready FastAPI backend that integrates with local LLMs using Ollama and the Mistral model. It features async database handling with SQLAlchemy and an endpoint that accepts prompts and returns AI-generated responses. Designed with modularity and privacy in mind, it’s ideal for developers looking to run private AI assistants or chatbots without relying on external APIs.
Bachelor of Science in Information Technology in
2018-01-01-2021-01-01
Bachelor of Science in Information Technology in
2004-01-01-2010-01-01