I’m Alex Carr, a senior back-end and AI engineer with 10+ years of experience building secure, high-availability systems using Java and Kotlin, along with cloud-native platforms and distributed systems. I’ve developed and owned services that support large-scale healthcare and fintech ecosystems, focusing on reliability, performance, and maintainable architectures. Most recently, I built backend services and agentic AI capabilities for Amazon One Medical’s 1Life and Health AI platforms using Java, Spring Boot, Python, Amazon Bedrock, LLMs with RAG, and healthcare data standards such as FHIR/GraphQL. I’m especially excited by turning complex clinical workflows into well-governed, audit-friendly AI experiences, with strong observability and compliance in mind.

Alex Carr

I’m Alex Carr, a senior back-end and AI engineer with 10+ years of experience building secure, high-availability systems using Java and Kotlin, along with cloud-native platforms and distributed systems. I’ve developed and owned services that support large-scale healthcare and fintech ecosystems, focusing on reliability, performance, and maintainable architectures. Most recently, I built backend services and agentic AI capabilities for Amazon One Medical’s 1Life and Health AI platforms using Java, Spring Boot, Python, Amazon Bedrock, LLMs with RAG, and healthcare data standards such as FHIR/GraphQL. I’m especially excited by turning complex clinical workflows into well-governed, audit-friendly AI experiences, with strong observability and compliance in mind.

Available to hire

I’m Alex Carr, a senior back-end and AI engineer with 10+ years of experience building secure, high-availability systems using Java and Kotlin, along with cloud-native platforms and distributed systems. I’ve developed and owned services that support large-scale healthcare and fintech ecosystems, focusing on reliability, performance, and maintainable architectures.

Most recently, I built backend services and agentic AI capabilities for Amazon One Medical’s 1Life and Health AI platforms using Java, Spring Boot, Python, Amazon Bedrock, LLMs with RAG, and healthcare data standards such as FHIR/GraphQL. I’m especially excited by turning complex clinical workflows into well-governed, audit-friendly AI experiences, with strong observability and compliance in mind.

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Experience Level

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Language

Javanese
Fluent
Aragonese
Intermediate

Work Experience

Senior Software Development Engineer at Amazon
July 1, 2022 - Present
Owned Java and Spring Boot services across One Medical’s 1Life platform, supporting EHR workflows, appointment scheduling, clinical tasking, secure messaging, lab results, and prescription renewals for hundreds of thousands of healthcare members. Designed FHIR and GraphQL interoperability APIs that unified clinical notes, medications, lab results, and care encounters into consistent records for patients, clinicians, and AI applications. Built Kotlin/Spring Boot services for AI-assisted documentation, medical record summarization, patient messaging, and clinical task routing, contributing to a reported 40% reduction in administrative work. Owned Health AI orchestration APIs that integrated Python graph logic for routing, clinical retrieval, model calls, tool execution, and provider escalation. Implemented a Health AI RAG pipeline using Amazon Bedrock, LangChain, and OpenSearch vector search, and standardized AI tool integrations via MCP servers and REST APIs with schema validation whi
Senior Software Engineer at Current Core
August 1, 2019 - July 1, 2022
Developed Java services for Current Core’s event-driven banking platform on GCP/GKE, processing ACH deposits, peer-to-peer transfers, ATM withdrawals, and debit-card purchases as the platform scaled from ~500K accounts to nearly 4M members. Designed event-sourced ledger workflows that published auditable debit-and-credit events via Google Cloud Pub/Sub while maintaining consistent balances across asynchronous payment trails. Built Dataflow pipelines transforming transaction events into BigQuery datasets for reconciliation, risk monitoring, and operational reporting. Integrated a Kotlin Android application using gRPC and Protobuf with Kotlin Coroutines, Flow, MVVM, and modular Gradle builds for secure, real-time account updates. Implemented distributed ACID transactions, field-level encryption, idempotency controls, and automated reconciliation to prevent duplicate postings and protect sensitive financial data. Scaled the platform on GKE to handle significant week-over-week demand gro
Software Engineer at Dremio
February 1, 2016 - August 1, 2019
Contributed Java components to Dremio’s Apache Arrow-based distributed SQL engine, enabling direct analytics across S3, HDFS, Elasticsearch, MongoDB, HBase, Parquet, and relational databases without traditional ETL pipelines. Developed vectorized query execution operators that minimized serialization, memory copying, and JVM overhead between Dremio and clients such as Python, Spark, Tableau, and JDBC applications. Implemented cost-based optimizer rules and native pushdown for filters, projections, and aggregations to reduce data movement and unnecessary processing in operational data sources. Enhanced Elasticsearch connectors by translating SQL expressions into native queries while handling unsupported joins and window functions within Dremio’s distributed engine.

Education

B.S. in Computer Science at Indiana University of Pennsylvania
January 1, 2012 - January 1, 2015
B.S. in Computer Science at Indiana University of Pennsylvania
January 1, 2012 - January 1, 2015
B.S. in Computer Science at Indiana University of Pennsylvania
January 1, 2012 - January 1, 2015

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Financial Services, Software & Internet, Computers & Electronics, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Beginner
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