Summary
Kalynn Kosyka is a software engineer with 10 years of experience building data-driven backend systems, currently developing Spring Boot APIs, Spark jobs, and Kafka-powered streaming at UnitedHealth Group. A Smith College computer science and data science graduate, she blends spatial analysis and machine learning experience with pragmatic production skills like OpenShift container deployments and CI/CD pipelines. She’s comfortable working across the stack—from Elasticsearch-backed search APIs to map-reduce style Spark processing—and thrives in agile teams shipping reliable, near-real-time data solutions. Beyond engineering, Kalynn has a strong background in geoprogramming and research, having created GIS visualizations and participated in NSF-funded REU work on sensor-based infrastructure detection. Her curiosity shows in a pattern of self-taught projects and roles that push her outside her comfort zone, including training service dogs full-time—an unusual commitment that highlights patience, consistency, and real-world problem solving. Based in New Jersey, she continually seeks challenges that combine data, spatial insights, and production-grade software.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science & Statistics Data Science, 3.87, Bachelor's degree, Computer Science & Statistics Data Science, 3.87 at Smith College
95, 95 at Millennium High School