De-Risking Cloud Scale &
Production AI for High-Stakes Platforms.
Eliminating technical debt, unblocking platform throughput, and vetting architecture for enterprise scale and private equity acquisitions. Staff-level engineering authority designed for engineering leaders and institutional investors.
Cloud Scale & K8s Mesh
Active-active multi-cloud topologies across GCP & AWS with automated zero-loss failover.
Production AI & LLMOps
Sub-second multimodal RAG systems, semantic caching layers, and enterprise validation guardrails.
Event-Driven Streaming
High-throughput Kafka & Pub/Sub backbones with backpressure isolation and strict partition ordering.
PE/VC Technical Diligence
Deep-dive codebase audits, scalability bottlenecks, security posture, and IP defensibility for M&A deals.
Zero-downtime distributed multi-region architectures with partition-tolerant persistence.
Distributed event streams, cloud platforms, microservice migrations, and production RAG & AI architectures.
Rigorous buy-side & sell-side technical due diligence conducted for institutional VC/PE transactions.
Engineered for Scale, Speed, and Boardroom Certainty.
We do not sell junior staffing hours or generic buzzwords. We deliver staff-level technical architecture, hard invariants, and deterministic operational velocity.
Applied AI, Retrieval-Augmented Generation & LLMOps
Moving beyond fragile proof-of-concepts into resilient production-grade cognitive architectures. We design high-throughput vector retrieval pipelines (pgvector, Qdrant), autonomous multi-agent state machines (LangGraph), semantic caching layers (Redis), and automated LLMOps evaluation loops.
Zero unvalidated LLM output enters persistent storage. All agent state transitions are strictly governed by Pydantic schema validation contracts, circuit breakers, and bounded token budgets.
Distributed Systems & Cloud Scale
Designing and scaling mission-critical event-driven architectures across AWS and Google Cloud. Eliminating database concurrency locks, managing Kubernetes clusters, and codifying infrastructure with Terraform and CDK.
Partition-tolerant stream ingestion with transactional outbox patterns, schema registries, and automated DLQ replay workers.
Technical Due Diligence & M&A Risk Auditing
Uncompromising, evidence-based code and systems forensics for institutional investors (VC, Private Equity) and acquiring executives. We quantify technical debt, evaluate architecture scalability, test failure modes, and uncover hidden operational liabilities before capital is wired.
Zero vendor kickbacks. Objective scoring across architecture velocity, cloud infrastructure reliability, key-person risk, and post-deal remediation costs.
Full-Stack Platform Engineering & Observability
Golden paths for engineering organizations. Establishing automated CI/CD deployment pipelines, policy-as-code security guardrails, and enterprise OpenTelemetry observability grids with distributed trace spans across microservices.
If a service hop cannot be traced with W3C trace context, it cannot enter production. Millisecond-level accountability across the entire request lifecycle.
Enterprise Cloud Architecture & Scale Topology (AWS & GCP)
Proven multi-cloud engineering spanning Google Cloud and AWS. From global Anycast load-balancing and full web & mobile Firebase architectures to low-latency vector search, high-throughput event streaming, and cloud governance.
Global Ingress & Multi-Cloud Load Balancing
[00:00.012] Cloud Armor: WAF inspection 0 threat signals; routed to multi-cloud origin pool
Production Case Studies & Systems Track Record
Battle-tested architectural leadership and hands-on execution across flagship AI applications, high-scale Nordic marketplaces, institutional M&A due diligence, and global ad networks.
KnowU: Multi-Framework AI Psychological Analysis & Full-Stack Firebase Platform
KnowU is an advanced personality-insights platform designed for individuals and teams. Rather than relying on single questionnaires, KnowU triangulates data from self-assessments, moral decision-making, peer observations, and AI-powered conversations across MBTI, DISC, and Big Five frameworks to generate actionable GROW coaching plans and conflict-free workplace dynamics.
Architected a responsive, cross-platform ecosystem spanning Web, iOS, and Android. Built on full-stack serverless Google Cloud & Firebase architecture: real-time Cloud Firestore document synchronization with offline-first client replication, Cloud Functions for asynchronous AI inference, Firebase Auth & App Check attestation, and rigorously audited Firebase Security Rules guaranteeing zero authorization bypasses.
Tori.fi & Vend (Schibsted): High-Traffic Marketplace Scale & Cloud Modernization
Tori.fi is Finland's largest digital marketplace, serving millions of monthly active users as part of the Nordic media and classifieds conglomerate Schibsted. Unprecedented concurrent listing searches, seasonal traffic surges, and legacy database bottlenecks demanded a modernized distributed cloud architecture.
Served as Area Tech Lead & Architect across Google Cloud Platform (GCP) and Amazon Web Services (AWS). Re-architected core platforms into containerized microservices, established resilient Anycast edge load-balancing, optimized event streaming pipelines, and elevated engineering standards across multiple cross-functional teams.
Institutional M&A Technical Due Diligence & Enterprise SaaS Monolith Decoupling
Private equity and enterprise acquirers face hidden multi-million euro liabilities: unscalable cloud topologies, undocumented proprietary code risk, and monolithic technical debt. For Midaxo (global M&A pipeline and due diligence platform) and Munich financial clients, architecture required rapid de-risking and modernization.
Performed comprehensive cloud-based Technical Due Diligence (TDD), evaluating AWS infrastructure robustness, security posture, and code maintainability. For Midaxo, decoupled monolithic systems into high-velocity microservices, instituted automated QA pipelines, and accelerated release cycles for global corporate clients.
Tier-1 Banking Institution: Big Data Architecture & Transaction Analytics
A major banking institution generated immense volumes of transactional data daily across retail and commercial operations. Legacy reporting silos prevented real-time operational visibility, while complex data models were inaccessible to non-technical business decision-makers.
Architected and implemented end-to-end analytical data pipelines. Ingested massive high-velocity transaction streams, structured multi-terabyte data lakes, and designed intuitive visualization layers that converted complex financial flows into real-time operational metrics and executive decision tooling.
Kiosked: 1B+ Monthly Hits Ad Automation Engine & SAP Billing Integration
Maintaining an advertising automation platform running on thousands of publisher websites with over 1 Billion monthly hits demanded extreme client-side lightness and resilient cloud backends. Rapid customer growth simultaneously created manual financial billing bottlenecks.
Led consumer-side engineering developing a pure vanilla JavaScript client library with zero dependencies for universal cross-browser reliability. Coordinated complex integrations with SAP payment and CRM systems on AWS to automate billing workflows, and implemented data-driven UX A/B testing frameworks that maximized merchant conversion rates.
The MXM Technical Manifesto
We reject tech-fad tourism and vendor-sponsored hype. Long-term velocity is earned by respecting invariants, bounding complexity, and building systems that thrive under adversity.
Boring technology where it counts; bleeding-edge where it differentiates.
Run your core business on battle-tested primitives: PostgreSQL, Linux, proven container runtimes, and Kafka. Reserve complexity and bleeding-edge models exclusively for components that create proprietary enterprise moat.
Deterministic verification over probabilistic hope.
Large language models are probabilistic reasoning engines, not trustworthy databases. Every cognitive output must pass through deterministic schema validation, policy guardrails, and cryptographic invariants before entering production storage.
Zero-trust latency budgets & observable invariants.
Every microsecond has an owner. If a system component cannot justify its latency contribution under OpenTelemetry distributed tracing, it does not belong in the critical path. If you cannot measure it in real-time, you do not control it.
Architecture is an asset; technical debt is a compounding liability.
Hacks and shortcuts do not save time; they borrow against future engineering velocity at credit-card interest rates. Clean interfaces, decoupling, and disciplined domain boundaries are the only sustainable path to hyper-scale.
Initiate an Architecture Review or Inquiry
Direct engagement with Staff Architect Maksim Luzik. Choose an engagement pathway below or send a general technical inquiry.
CTO Architecture Review & Systems Audit
An intensive architectural diagnostic for engineering leaders facing platform bottlenecks, rising cloud costs, or scaling challenges.
- Complete distributed codebase & cloud infrastructure stress test
- P99 latency budget analysis & performance bottleneck triage
- Cloud spend & compute architecture right-sizing roadmap
- 12-month engineering velocity & modernization blueprint
Direct Engagement & Inquiry
Guaranteed response within 24 hours directly from Principal Architect Maksim Luzik.