Helping companies and startups design and ship POCs, MVPs and full-scale products.

I combine startup speed with production-grade engineering, so what you build today doesn’t need to be rewritten tomorrow.

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24+years experience
300+projects delivered
From ideato production
End-to-endsystem design & build

About me

Systems built for real production

I design and build backend and platform systems that are meant to run in production - under load, across failures, and through continuous product evolution.

Hands-on from concept to production

I work directly on systems, from early prototypes and MVPs to full production platforms. Architecture decisions are validated through implementation and real production behavior.

Pragmatic engineering decisions

Technologies and architectures are chosen based on real constraints: team size, delivery timeline, scale expectations and operational complexity.

Services & experience

Distributed backend systems

Microservices, event driven architectures, high throughput APIs and data pipelines.

Cloud infrastructure

Infrastructure as code, CI/CD, container orchestration and production reliability engineering.

Performance optimization

Profiling, scaling strategies, caching layers and latency reduction across the stack.

Technical leadership

Architecture reviews, mentoring, roadmap planning and engineering culture building.

Mobile apps

Design and development of high-quality mobile applications with smooth user experience.

Desktop software

Cross-platform applications that combine performance with intuitive interfaces.

Backend software

Robust systems and scalable architectures that power modern businesses.

Integrations & APIs

Seamless connections between platforms, workflows and data systems.

Consulting & strategy

Technical strategy, architecture guidance, mentoring and roadmap planning.

AI systems

RAG solutions, intelligent assistants, automation pipelines and advanced analytics.

Infrastructure & deployment

Infrastructure setup, deployment pipelines, scalability planning and reliable system operations.

Modern software engineering

Best practices in scalability, maintainability, workflows and quality assurance.

Projects

Real projects. Client details anonymized.

Mobile + backend platform replacement

iOS Objective-C C C++ Android Java Node.js Firebase functions Firestore PostgreSQL Load balancer Multi-node HA Backups Data Recovery

Client needed

A full replacement of an existing mobile product: redesigned and rebuilt from zero, with a scalable backend and a clean foundation for long-term evolution.

Developed

  • iOS app in Objective-C, with performance-critical modules in C/C++ (low-level + high-level layers).
  • Android app in Java aligned with stable API contracts and versioning strategy.
  • Backend architecture with Node.js + Firebase Cloud Functions + Firestore for realtime/event flows, plus PostgreSQL for relational/transactional data.
  • Scalability + high availability design: load balancer, multiple application nodes, horizontal scaling strategy.
  • Backup routines and disaster recovery plan (restore validation + data integrity checks).
Outcome Platform relaunched with improved performance and reliability, enabling broader customer reach and product roadmap validation.

SaaS core platform

Node.js Javascript PostgreSQL Redis REST Containers CI/CD Observability

Client needed

A production-grade SaaS backend that could evolve fast without constant rewrites, with predictable performance and an architecture ready for scale.

Developed

  • Node.js backend with REST APIs and clean service boundaries.
  • PostgreSQL as the primary data store, with schema/versioning strategy to support product evolution.
  • Redis for caching and workload smoothing where needed (latency + throughput).
  • Containerized deployment architecture with safe rollout strategy and operational visibility.
  • Production observability foundations (logs/metrics/tracing approach) to support ongoing iteration.
Outcome Faster product validation and feature delivery with stable performance, enabling confident scaling as adoption grew.

Internal productivity platform

Node.js MongoDB AI integration Proprietary algorithms Workflow automation

Client needed

Reduce a critical internal process that required hours of manual work into a fast, repeatable workflow with traceability and consistent results.

Developed

  • Node.js internal platform with MongoDB for operational state and workflow history.
  • AI integration to assist classification/extraction steps inside the pipeline.
  • Custom proprietary algorithms for decisioning, routing and automation logic.
  • Workflow visibility and audit trail for repeatability and accountability.
Outcome Process time reduced from ~4 hours to ~20 minutes, saving significant team time and improving consistency.

Engineering tradeoffs

Every system optimizes something. Choose where to push.

30
30
20
20
Delivery speed Balanced
Stability risk Medium
Technical debt trajectory Controlled
Refactor probability (12 months) Medium
Long-term cost Moderate

Contact

If you need an engineer that can design, build and ship production systems, send a message.

Or if you prefer, send an email directly to pemk.engineering@gmail.com