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Igor Blindu

@igorblindu

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Senior Software Engineer at CaseDok Health, building medical-record workflows and AI review with human approval.

Spain

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At CaseDok Health, I co-lead a medical-records product for patients and authorized legal firms. I designed record-acquisition workflows with durable state, retries, and audit trails, and integrated payer and provider data so requests aren’t lost or duplicated.

I’ve also built AI document review with source-page citations, evaluation against labelled datasets, and a required human review step. At N26, I built N26 Spaces and Shared Spaces money-movement services designed to prevent duplicate transfers; at EPAM Systems, I took AI capabilities from proof of concept to production.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer (Co-lead)

Current

CaseDok Health

Oct 2024 - Present (2 years)

Co-lead the product with the founder, turning messy requests into scoped releases and building, launching, supporting, and measuring them. Designed the record-acquisition workflow as an explicit state machine with idempotent transitions, immutable audit events, retries, timeouts, and replay on durable workflow engines.

Temporal AWS Step Functions AWS Kubernetes Terraform HIPAA Python TypeScript React Storybook AI RAG Structured Extraction Human Review CI CD PostgreSQL Kafka RabbitMQ Amazon SQS

Senior Software Engineer / AI Consultant

EPAM Systems

Oct 2021 - Oct 2024 (3 years)

Built core capabilities of EPAM AI DIAL, a platform giving enterprise product teams one API over multiple AI models. Worked embedded with a financial-services client's digital-asset team, delivering ingestion, AML monitoring, and sanctions screening systems.

Software Engineer (Full Stack)

N26

Mar 2018 - Sep 2021 (3 years 6 months)

Built N26 Spaces and Shared Spaces end to end, including sub-accounts, savings goals, balance allocation, shared members, and transfers. Made money movement safe under retries, duplicate delivery, timeouts, and races with database constraints, idempotency keys, event consumers with dead-letter queues, and nightly reconciliation.

Python TypeScript JavaScript Go Java SQL PostgreSQL Redis Kubernetes Kafka RabbitMQ Amazon SQS REST gRPC Event Driven Architecture Idempotency Reconciliations Audit Trails ML Fraud Scoring KYC On Call Incident Response

Software Engineer

Ayesa

Sep 2013 - Mar 2018 (4 years 6 months)

Worked on site with energy and municipal customers, building citizen-request, work-order, asset, and document-management modules integrated with SAP, Oracle, SCADA, and GIS systems. Built document digitization with OCR, reporting and analytics, and an interactive browser-based 3D site configurator.