Washington DC-Baltimore Area
Engineer with end-to-end experience in designing and building AI solutions across data science, generative AI and predictive modeling. Skilled in Python, Java and SQL with strong foundations in software engineering and modern ML stacks. Holding an M.S. in Artificial Intelligence, multiple certifications and patents. Based in Northern Virginia, dual citizen of the United States and Turkey.
• Managing the AI/ML Team's technical work and aligning solutions with business objectives. • Supporting recruitment, pre-sales, project intake and delivery processes.
• Led GenAI projects as a LLM scientist and solutions architect for a Fortune 100 airline, serving as a full-time vendor. • Developed a RAG-based chatbot app listed on AWS and Snowflake marketplaces to enable natural language access to data workflows and ML-powered analysis. • Built a predictive case status pipeline and interactive dashboard for a mass tort firm by combining real-time and pre-computed insights through advanced ML techniques.
• Designed architecture and built back-end for a modular search product embeddable into client platforms with data scraping and result display capabilities. • Automated data indexing infrastructure using scheduled and event-driven task executions for scalable content updates. • Led a GenAI initiative in partnership with AWS, applying LLMs for advanced text summarization and attribute extraction to enhance search performance.
• Built a time-series forecasting pipeline to predict hourly bakery and warm drink sales by store location for data-driven inventory planning.
• Developed a chatbot-building platform for customer-facing rule-based bots for reducing call center workload and improving support efficiency. • Built a web application for data monetization by analysis and visualization of large-scale demographic and location-based data. • Implemented a real-time text classification pipeline with a dashboard to monitor and categorize social media activity.