Yahya Habib
Senior AI Engineer
Experienced in developing automated business process pipelines and reporting solutions, including PDF-based reporting systems that transform database information into structured and actionable business insights.
Experience in cloud technologies, system integration and production deployments, including AWS RDS, Azure, SSL/NGINX and API-based solutions, complemented by strong software engineering and client collaboration capabilities.
Biography
Yahya Habib is an AI and Software Engineering professional with experience in scalable backend systems, enterprise ERP architecture, artificial intelligence and data engineering. He has a strong technical background in Python, C#, ERP frameworks and emerging AI technologies, with particular interest in Generative AI, machine learning, robotics and intelligent enterprise solutions.
As Senior AI Engineer at Infinitrs, he contributes to the development of scalable backend systems, enterprise ERP solutions and AI-enabled business applications. His experience includes developing more than 20 custom backend modules, automated reporting pipelines and business process automation solutions, while working directly with clients to gather requirements and design scalable technical solutions. His academic and project experience further includes RAG-based LLM applications, machine learning prediction models, computer vision analytics, data engineering and precision agriculture AI solutions.
Professional skills
Strong academic and practical experience in Artificial Intelligence, Machine Learning and Large Language Models, including RAG pipelines, AI assistants, prediction models and intelligent enterprise applications.
Experienced in developing scalable backend systems and custom ERP modules using Python, C#, ASP.NET, Odoo Framework and related technologies, with a focus on business logic, database architecture and enterprise applications.
Skilled in data engineering, data transformation, machine learning pipelines and analytical applications, with experience using Python, SQLite, XGBoost, Dask and other data technologies for structured business and research solutions.
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