Open to opportunities

Samuel Johnson

@samueljohnson1

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Senior AI and full-stack engineer building production web and data systems that ship measurable impact.

United States

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What I'm looking for

I’m looking to build AI-driven, cloud-native products end-to-end—microservices, ML deployment, REST APIs, observability, and CI/CD—while mentoring engineers. I want teams that value performance, reliability, and shipping measurable impact fast.

I’m a Senior AI and Full Stack Software Engineer with 10+ years building production web and data systems, with a focus on AI-driven features, performance, and reliability. I combine Java and Spring on the backend with React/Angular on the frontend, delivering cloud-native solutions on AWS.

In my recent role, I spearheaded AI-driven campaign optimization microservices, deploying 4 production models to AWS Lambda and ECS and improving click-through prediction accuracy by 23%. I also built RESTful, PostgreSQL-backed services and reduced average API latency by 35% across multiple endpoints, while integrating MongoDB to boost event ingest throughput by 4x.

I’ve led end-to-end delivery through CI/CD automation (GitHub Actions, Jenkins), JUnit-driven test practices, and observability tooling. At scale, I tuned PostgreSQL/MySQL schemas and queries, cutting critical query runtimes by 70% and improving incident recovery time by 62% through better diagnostics on Linux with logs and traces.

I enjoy collaborating in Agile teams and mentoring engineers—teaching Spring Boot, REST API design, and cloud-native best practices to increase delivery velocity and software quality. I bring a product-minded approach to experiments-to-production work, shipping A/B tests with measurable ROI while keeping documentation and runbooks practical for real operations.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Conversion Logix

Feb 2025 - Present (1 year 3 months)

Developed AI-driven campaign optimization microservices with Java/Spring Boot, deploying 4 production models to AWS Lambda and ECS and improving click-through prediction accuracy by 23%. Built PostgreSQL-backed REST APIs and optimized queries to cut average API latency by 35% across 12 endpoints.

Java Spring Boot AWS Lambda ECS REST APIs PostgreSQL MongoDB Jenkins React TypeScript

Software Engineer

Cboe Global Markets

Jul 2022 - Nov 2024 (2 years 4 months)

Built low-latency Java/Spring Boot microservices, reducing average trade processing time by 28% across 6 critical services. Designed event-driven pipelines with Kafka and Redis to support real-time market analytics, increasing throughput by 3x.

Java Spring Boot Kafka Redis PostgreSQL MySQL REST APIs Linux AWS

Senior Software Engineer

WhyLabs

Mar 2020 - Apr 2022 (2 years 1 month)

Implemented ML observability features (data-drift and schema-change detectors) using Java/Python, catching 95% of production anomalies within 24 hours. Refactored React dashboards to improve time-to-insight by 37% and built Docker/Kubernetes onboarding that reduced setup time from days to 2 hours.

Java Python Observability Spring REST APIs React Docker Kubernetes MongoDB PostgreSQL

Full Stack Engineer

Zocdoc

Feb 2019 - Jan 2020 (11 months)

Built patient and provider features using Angular and Java/Spring, increasing bookings per provider by 16% month-over-month. Integrated MySQL and Redis to cut average checkout time by 48% for 200k monthly users and improved scheduling uptime to 99.96%.

Angular Java Spring MySQL Redis REST APIs Reactivity Front End Optimization Selenium Junit AWS EC2 RDS

Junior Back End Developer

Palantir Technologies

Oct 2018 - Jan 2019 (3 months)

Developed Java/Spring backend services for data pipelines processing 10TB+ per month and improved data freshness by 3x by optimizing PostgreSQL ETL scripts. Added monitoring with Prometheus/Grafana and reduced unnoticed failures by 84% through alert tuning.