KsCode
Decision latency killer

Data systems that reduce cost, increase speed, and de-risk decisions

I design and build production-grade data and software systems that replace manual processes, surface decision-critical insights, and scale without rewrites. Businesses hire KsCode when experimentation is over and execution matters.

Production AICloud-native dataMicroservicesSecurity first

Health

Recommendation engines and decision support that ship to production.

Energy

P2P energy platforms, forecasting, and resilience for critical workloads.

LLM systems

Retrieval, evaluation, guardrails, and MLOps for dependable AI.

Decision cockpit

Live

Decision latency

-68%

Data freshness

Real-time

Reliability

99.9%

Delivery

Architecture to prod

Ops

MLOps + DevOps

Security and complianceBuilt-in
Cloud and on-prem readyHybrid
MaintainabilityFirst-class
AWSAzureLLMsTerraformFastAPIKubernetes
Decision acceleration

I build systems that move decisions closer to reality

This work sits at the intersection of data science, software engineering, and systems architecture - implemented, not theorized.

I help companies

  • Eliminate manual workflows through automation
  • Turn raw data into deployable decision systems
  • Ship scalable software without architectural debt
  • Secure infrastructure before it becomes a liability

Why KsCode

  • Systems that stay alive after delivery
  • Operate across data, backend, infrastructure, security
  • Design for production constraints, not demos
  • Optimize for maintainability, not novelty
  • You do not get slides. You get working systems.

Operating principles

  • Decision systems over dashboards
  • Production-first engineering
  • Bias to automate recurring ops
  • Guardrails for reliability and security
Services

Outcome-first build tracks

Engineering for production constraints, not demos. Each track is designed to reduce decision latency and keep systems alive after delivery.

Data & Machine Learning Systems
Production ML pipelines, forecasting models, recommendation engines, analytics layers - designed to integrate with real infrastructure and real users.
Software Engineering
Backend systems, APIs, microservices, and internal tools built for reliability, observability, and scale.
Security & Reliability
Threat modeling, vulnerability assessment, and system hardening to prevent avoidable incidents.
Architecture & DevOps
Cloud and hybrid architectures, CI/CD pipelines, infrastructure as code - engineered to reduce failure modes and operational overhead.
Core outcomes
  • Reduced decision latency
  • Reliable releases
  • Operational clarity
  • Security from day one
How I work
  • Architecture to implementation
  • MLOps + DevOps integrated
  • Cloud + hybrid ready
  • Documentation and handover
Delivery proof
  • Health platforms in production
  • LLM assistants with guardrails
  • Energy and IoT systems
  • Funding unlocked through prototypes
Proof of Competence

Defensible signals, not fluff

Outcome-oriented work and competitive results that translate into working systems.

Top-10 national algorithmic placement (Belgium)

Scored top-10 in the Vlaamse programmeerwedstrijd national contest.

Top 10% finalist in national cybersecurity CTF

Competed against 282 teams and reached the finals.

Prototypes that unlocked funding

Built prototypes that enabled early-stage startups to secure funding.

Production work across domains

Delivered systems used in health, energy, and data-intensive environments. Not academic. Applied.

Selected Work

Outcome-oriented delivery

Built for production constraints with measurable business impact. (Full technical details available on request.)

Health Management Platform
Health Management Platform
Built a production recommendation engine integrating cloud and on-prem systems to support data-driven patient care decisions.
Production ML
Hybrid cloud
Healthcare
LLM Knowledge Assistant
LLM Knowledge Assistant
Designed and deployed an internal AI assistant using LLMs and microservices to reduce information retrieval time across teams.
LLMs
Microservices
Internal tooling
Water Leakage Detection
Water Leakage Detection
End-to-end ML pipeline detecting infrastructure leaks to reduce waste and operational cost.
IoT
MLOps
Cost reduction
Energy Sharing Platform
Energy Sharing Platform
Peer-to-peer energy system enabling automated matching and settlement across distributed users.
Distributed systems
Automation
Energy

Who This Is For

Companies with data that isn't informing decisions. Teams stuck between prototype and production. Founders who need systems that survive scale. Organizations that value correctness over hype.

  • If you want experimentation, hire a lab.
  • If you want results, hire KsCode.
Contact

KsCode - Data systems engineered to hold under pressure

If you want results, hire KsCode. Drop a note with context and the outcomes you need.

Belgium

KsCode serves teams where experimentation is over and execution matters.

Location

Belgium

KsCode

BTW 0802.423.986

Data systems engineered to hold under pressure. No slides. Working systems only.