Résumé

Deriv

AI Engineer, Jun 2026 - now

  1. Shipped a full-stack customer-support system that proactively resolves user issues.

    ~80% lower CX costProduction

  2. Average customer satisfaction after the support system shipped.

    CSAT 5/10 → 8/10Production

  3. Built and operate Kafka- and API-based ingestion pipelines for reliable downstream analysis.

    ~20,000 complex events/dayProduction

  4. Built evaluation and debugging harnesses that reproduce failures and capture environment signals.

    ~50% faster time-to-fixProduction

  5. Updated the team's Terraform configurations while scaling existing infrastructure and provisioning new services.

    ~10-30% lower AWS costProduction

  6. Built a Go microservice that unifies data from 4-6 internal services into a single response for the support system, now running in staging.

    4-6 services → one responseCapability

Start

Tal vs Larsen, Bled 1965

Next tableMonash UniversityBachelor of Engineering (Honours), Software Engineering, graduated Apr 2026Back to all roles