Doruk Ozar

About Doruk Ozar

Aspiring Data/Machine Learning Engineer and Quantitative Analyst with interests in Data Analysis, Financial analysis, and Machine Learning. Interested in challenging coding and software problems. Keen interest in Quantitative Data Analytics. Personal goal is to continue personal and professional growth through my application of my knowledge and skillset.

Experience

1. Ai Solutions Engineer

   Forum Systems

   Jul 2025 — Present

   Design and deliver production-grade AI agent systems in a fast-paced startup environment serving the highly regulated healthcare insurance domain. Architect scalable, secure, and auditable agentic workflows that automate complex business processes and knowledge work.Lead the end-to-end development of multi-agent platforms, including custom tool-integrated agents for PowerPoint automation, SharePoint document intelligence, Git operations, Jira workflows, image generation, and web search. Engineer advanced Agentic RAG pipelines to enable reliable, context-aware reasoning over enterprise data at scale.Own the full AI infrastructure stack — from data ingestion and transformation to OpenSearch indexing, retrieval optimization, observability, and Dockerized deployment. Build structured logging, traceability, and monitoring systems to ensure deterministic, debuggable agent behavior in production environments.Great experience in agent orchestration and architectures, tool-calling architectures, and backend systems that standardize tool outputs into consistent, high-quality agent responses.Key Contributions • Architected and deployed custom AI agents and multi-agent pipelines across enterprise workflows • Built Agentic RAG systems with OpenSearch-backed retrieval and large-scale document ingestion • Developed specialized agents for PowerPoint, SharePoint, Git, Jira, image generation, and web search automation • Designed Dockerized services with structured logging, observability, and production monitoring • Implemented deterministic execution patterns to meet compliance and audit requirements • Optimized search, indexing, and dashboards using AWS OpenSearch for high-volume enterprise content • Generalized tool outputs and backend contracts to improve agent reliability and response quality

Education

• University of Virginia

  Master of Science - MS, Data Science

• Sezin School

  High School Diploma

• Bucknell University

  B.S Computer Science & Engineering, Cum Laude, AI & ML