Abdullah Sahin

About Abdullah Sahin

I am a Software Engineer at UnitedHealthcare with a focus on building scalable, high-performance backend systems and integrating Agentic AI into enterprise workflows. My expertise lies in the Java/Spring Boot ecosystem, where I specialize in developing RESTful APIs, optimizing complex database operations (Oracle & Snowflake), and orchestrating containerized workloads via Kubernetes.Recently, I have focused on the intersection of backend engineering and LLMs, having developed an Agentic AI Proof of Concept using LangChain to automate complex business inquiries. Whether it’s achieving a 98% automation rate for claim processing or migrating critical ETL pipelines to the cloud, I am driven by the challenge of turning complex data into efficient, automated solutions.Core Technical Stack:* Languages: Java, Python, SQL/PLSQL * Frameworks: Spring Boot, Spring MVC, Flask, FastAPI * Data & Cloud: Snowflake, PostgreSQL, Oracle 19c, Docker, Kubernetes * AI/ML: LangChain, RAG

Experience

1. Software Engineer

   UnitedHealthcare

   Apr 2023 — Present · Boston, MA, US

   Developed an agentic AI Proof of Concept (POC) using LangChain, designing custom tools that expose backend business logic to LLMs, enabling autonomous reasoning for complex business inquiries.• Containerized Spring Boot services with Docker and managed Kubernetes deployments, including ConfigMaps, Secrets, and namespaces; utilized kubectl and Splunk for workload monitoring and troubleshooting.• Built and maintained high-volume backend services using Core Java, Spring Boot, Spring MVC, and REST APIs to support claim processing and member enrollment workflows.• Optimized Oracle PL/SQL procedures and packages, significantly reducing query execution times through indexing, execution plan analysis, and refactoring.• Automated end-to-end claim and enrollment workflows, achieving a 98% automation rate and reducing manual intervention for operations teams.• Refactored critical API SQL queries to achieve sub-100ms response times under production load.• Led the migration of daily ETL batch jobs from Oracle to Snowflake, redesigning pipelines and SQL transformations while ensuring data integrity.• Guided cross-functional teams through Snowflake migrations as a recognized organizational expert for ETL cutovers.• Enhanced reliability and reduced production defects by establishing unit testing for PL/SQL and backend components.• Contributed to code reviews and established best practices for error handling, logging, and performance.• Mentored developers on backend architecture and Spring Boot best practices to ensure clean, scalable, and maintainable code standards.

Education

• The University of Texas at Austin

  Non-Degree, English as a Second Language

  2015 — 2016

• Erciyes University

  Bachelor of Science - BS, Fluid Mechanics

  2008 — 2013

• Georgia Institute of Technology

  Master of Science - MS, Computer Science

• UC Irvine

  Master of Science - MS, Hydrology and Water Resources

  2016 — 2018

Skills

• Microsoft Office
• Project Management
• Matlab
• Finite Element Analysis