Portrait of Mirza Radoncic
Available for select engagements

Mirza Radoncic / Senior Product Engineer, AI Systems & Automation

AI-propelled engineering for growing teams.

I use AI to accelerate product delivery and build intelligent workflows, guided by sound architecture, secure integrations, testable behavior, and infrastructure that holds up in production.

AI-accelerated deliverySoftware fundamentalsAPIs and integrationsCloud infrastructure

How I build

Faster delivery, grounded in engineering fundamentals.

AI creates leverage. Architecture, product judgment, testing, security, and infrastructure determine whether that leverage survives production.

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01

Product and platform development

AI-accelerated delivery across the product stack, shortening feedback loops without surrendering architecture, code quality, or product judgment.

  • AI-assisted delivery
  • Product architecture
  • Full-stack systems
02

Internal tools and workflows

AI-enabled operational software that combines structured model outputs with clear interfaces, human review, and dependable system behavior.

  • Workflow automation
  • Human-in-the-loop UX
  • Evaluation & safeguards
03

Integrations and modernization

Practical work connecting models, services, and existing platforms without weakening security, observability, or long-term maintainability.

  • Model & API integration
  • Incremental modernization
  • Infrastructure & observability

Selected work

Experience in software that carries real responsibility.

A high-level view of professional environments and product delivery. Client and company details stay intentionally concise.

AllShiftsSeptember 2022 to February 2023

Healthcare staffing products

Built web applications, internal tools, and microservices for healthcare staffing across more than 40 states, including payroll integrations and an AWS Textract workflow that moved application review from days to real time.

HealthcareAWSMicroservices
FJA-USMarch 2020 to February 2022

Enterprise insurance product delivery

Developed enterprise insurance products across Spring, Node.js, and React; led projects, improved release infrastructure, and owned the delivery of tested features to clients.

React / Node / SpringCI/CDTechnical leadership

Technical foundations

AI moves faster with sound boundaries.

Models and coding agents are engineering leverage, not substitutes for it. I ground AI-assisted delivery in typed interfaces, testable behavior, secure data flows, observable services, and infrastructure that can be operated with confidence.

AI systems

  • OpenAI APIs
  • LLM integration
  • Structured outputs
  • Retrieval patterns
  • Evaluation
  • Human review

Product engineering

  • TypeScript
  • React
  • Next.js
  • Node.js
  • Java
  • Spring Boot
  • Salesforce

Data and integration

  • Python
  • SQL
  • API design
  • Kafka
  • Redis
  • Supabase

Infrastructure and quality

  • AWS
  • Docker
  • Kubernetes
  • Terraform
  • CI/CD
  • Jest
  • JUnit
  • Datadog

Experience

A steady progression toward product ownership.

  1. HUB International

    Full-stack software engineer

    Insurance platform development, integrations, automation, and releases.

  2. AllShifts

    Full-stack software engineer

    Healthcare staffing products, internal tools, and microservices.

  3. FJA-US

    Full-stack software engineer

    Enterprise insurance products and client delivery.

  4. Stony Brook University

    B.S. Computer Science / B.S. Applied Mathematics and Statistics

    College of Engineering and Applied Sciences.

Start a conversation

Have a product or AI workflow that needs senior attention?

I take on select engagements with growing teams. Share the outcome, available data, operating constraints, and where the system stands today.