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Schedule Interview NowMy name is Samiullah S. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Python, Deep Learning, Machine Learning Model, Machine Learning, Python Script, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: Django-Based Appolio Leads Scraper Tool, Shopify Order Automation Tool (Order Extraction using Claude), Golf Scorecard OCR Data Extractor (Multimodal AI with GPT-5 + YOLO), RAGS System for Mexican Legal Archive, AI-Powered Lost and Found Item Detection with Computer Vision, etc.. I am based in Mansehra, Pakistan. I've successfully completed 22 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I'm motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
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We built a Django-based Applio Leads Scraper with a full dashboard, multi-account support, and proxy rotation. When one account quota ends, it automatically switches to the next and continues scraping
Developed a complete Shopify Order Automation Tool using Claude AI to extract and process detailed order data from multiple document types including PDFs, Excel files, and images. Extracts all releva
Developed a multimodal AI system to extract and structure data from golf scorecards. Used YOLO for precise region detection and GPT-5 for OCR and text interpretation Optimized prompt engineering for
The Mexican Legal Archive RAGS System enables intelligent access to Mexico's extensive legal document collection. Our system processes multiple 500+ page documents containing complex legal language, c
Our advanced Lost and Found detection system leverages computer vision and deep learning to identify 32 classes of lost items with high accuracy. We collected and manually annotated a massive dataset
Bachelor of Computer Science (BCompSc) in CS
2020-01-01-2024-01-01