Karišik

Building the layer between data, platforms, simulation, AI, and execution.

Engineering leadership for distributed platforms, real-time systems, AI-assisted engineering workflows, digital twins, and enterprise architectures in mission-critical environments.

Current focus Operational intelligence - the intersection of data platforms, simulation, AI agents, digital twins, and execution systems.
Portrait of Boban Karišik

Boban Karišik

Director of Advanced Technologies
Engineering Leader Software Architect Abu Dhabi · Belgrade

20+ years across engineering leadership, distributed platforms, government digital services, fintech infrastructure, real-time systems, and enterprise integrations.

Currently Director of Advanced Technologies at Space42, leading teams building AI-driven enterprise platforms, data systems, digital twins, and operational intelligence capabilities.

Apr 2026 Operational intelligence at Space42 - digital twins, agent workflows, real-time response.
01

Advanced Technology Platforms

Enterprise systems where AI inference, data infrastructure, and real-time processing share the same operational surface. The hard part is keeping inference latency, data freshness, and integration boundaries coherent under load.

02

Government Digital Services

National-scale digital services. Identity, integration, and continuity across public-sector boundaries - built under audit, regulatory, and operational-resilience requirements.

03

Fintech Infrastructure

Transaction systems and Web3 platforms operating under regulatory regimes and continuous-availability constraints. Real-time APIs, distributed engineering organisations, and security-sensitive integration surfaces.

04

DataHub / Digital Twin

Operational digital twins. Live data, geospatial state, IoT telemetry, and 3D environments unified into a single operator surface. Designed for response, not reporting.

05

Simulation & Response Systems

Event-driven systems for incident simulation, emergency dispatch, perimeter and traffic logic. Simulation engines and live operations sharing infrastructure rather than living in separate worlds.

06

AI-Assisted Engineering

Agent-based workflows inside the engineering function: architecture discovery, review, documentation, and governance. Productionised inside delivery teams, not demoed.

  1. 01

    Production readiness before demos.

    A demo that cannot be operated is not a system. Ship to run, not to show.

  2. 02

    Real-time visibility over status reporting.

    Live signal beats periodic narration. Build the surface that shows the state.

  3. 03

    Explainability before automation.

    Automate only what can be inspected, traced, and reversed.

  4. 04

    Execution discipline over presentation.

    The work is the artifact. Decks, slogans, and brand do not run in production.

For serious architecture, engineering leadership, platform strategy, or advanced technology discussions.

Not the right fit for IC role recruiting, generic consulting RFPs, or vendor sales outreach.