Johnathan Radojevich

Senior Software Engineer

Allstate · Chicago, IL

• Architecting enterprise agentic AI systems on AWS Bedrock; multi-step reasoning, tool calling, structured output schemas, and offline eval harnesses.
• Building RAG pipelines over structured and unstructured insurance data; embedding selection, retrieval tuning, and hallucination guardrails.
• Leading cloud-native platform improvements — Lambda, Step Functions, DynamoDB, SQS — targeting 99.9% SLO across event-driven risk-scoring workflows.
• Collaborating cross-functionally with actuarial and data science teams to translate model outputs into production decision APIs.

Senior Software Engineer

Northwestern Mutual · Milwaukee, WI (remote)

• Owned high-throughput distributed services processing millions of financial events daily; reduced p99 latency by 34% via stream repartitioning and backpressure tuning.
• Designed resilience patterns (circuit breakers, bulkhead isolation, idempotent consumers) across a Kafka-centric event mesh.
• Mentored two mid-level engineers through architecture design reviews and production incident retrospectives.

Software Engineer

Terracon · Lenexa, KS (hybrid)

• Executed strangler-fig migration from a 15-year-old monolith: defined anti-corruption layers, traffic-shaping policies, and a feature-flag framework enabling zero-downtime cutover.
• Established CI/CD pipelines with automated quality gates; reduced deploy cycle time from 3 days to same-day.
• Led DevOps maturity initiative: IaC with Terraform, secrets management, and drift detection.

Software Engineer

Johnson Controls · Milwaukee, WI (contract)

• Built IoT telemetry ingestion pipelines for smart-building sensor fleets; edge-to-cloud data normalization and anomaly flagging.
• Integrated MQTT broker with cloud time-series store; reduced telemetry backlog latency from minutes to sub-10-second.

Associate Software Engineer

Uline · Pleasant Prairie, WI

• Maintained and extended core enterprise Java backend services supporting high-volume e-commerce and logistics operations.
• Optimized critical SQL queries and stored procedures; largest win reduced a nightly batch job from 4.2 h to 38 min.
• Expanded automated test coverage from 41% to 78% across assigned service domains.

M.S. Computer Science — Computing Systems

Georgia Institute of Technology

OMSCS · specialization in machine learning and distributed computing

M.S. Computational Climate Modeling

University of Illinois Urbana-Champaign

Coursework in atmospheric dynamics, numerical methods, and climate data analysis

M.S. Spatial Data Science

Pennsylvania State University

Geospatial analysis, remote sensing, and spatial statistics

M.S. Geosciences — Applied Meteorology

Pennsylvania State University

Synoptic meteorology, tropical cyclone dynamics, risk modeling

B.S. Computer Science

University of Wisconsin