Services

Engineering services focused on outcomes, not just outputs. Each engagement is tailored to solve your specific business challenges.

System Modernization

Deploy Faster Without Breaking Things

The Problem

Your monolithic application has become a bottleneck. Every change requires careful coordination, deployments are risky, and your team can't move as fast as the business needs.

The Outcome

A modern, modular system where teams can deploy independently, scale specific features on demand, and ship new capabilities weekly instead of monthly.

Business Benefits

  • Ship features faster with independent deployments
  • Scale only what needs scaling, reducing infrastructure costs
  • Reduce deployment risk with smaller, isolated changes
  • Enable parallel team development without stepping on each other

Technical Details

Decompose legacy monoliths into scalable microservices without disrupting your business. I've led enterprise-scale migrations for Fortune 500 retailers using proven patterns that minimize risk.

Approach

  • Strangler fig pattern implementation
  • Event-driven architecture design
  • Domain-driven design & bounded contexts
  • Zero-downtime migration strategy

Technologies

Microservices Event-Driven REST GraphQL Message Queues

Performance Engineering

Handle 10x Growth Without 10x Cost

The Problem

Your system slows down under load, or costs are growing faster than revenue. Processing takes too long, users experience timeouts, and you're throwing hardware at problems that need smarter solutions.

The Outcome

High-performance systems that scale efficiently—processing millions of events with predictable latency and optimized resource usage.

Business Benefits

  • Reduce infrastructure costs through optimization
  • Handle traffic spikes without degradation
  • Faster response times improve user experience and conversion
  • Predictable performance under varying loads

Technical Details

High-performance backend services processing millions of events daily. Specialized in Go, Java, and Scala for distributed systems that scale efficiently.

Approach

  • Go microservices & concurrent systems
  • Kafka event streaming pipelines
  • Database optimization (PostgreSQL, MongoDB, Redis)
  • JVM performance tuning & memory optimization

Technologies

Go Java Scala Kafka PostgreSQL MongoDB Redis

Cloud Infrastructure

Reliable Systems That Run Themselves

The Problem

Deployments are manual and error-prone. Infrastructure changes are scary. You lack visibility into system health, and incidents take too long to diagnose.

The Outcome

Automated, observable infrastructure where deployments are routine, changes are safe, and you know about problems before your customers do.

Business Benefits

  • Deploy with confidence through automated pipelines
  • Reduce operational overhead with infrastructure as code
  • Faster incident response with comprehensive monitoring
  • Scale infrastructure on demand without manual intervention

Technical Details

AWS and GCP infrastructure built for reliability and scale. Container orchestration, IaC, and deployment automation using proven patterns.

Approach

  • ECS, Lambda, and Kubernetes deployments
  • Terraform infrastructure as code
  • CI/CD with GitHub Actions
  • Observability & monitoring setup

Technologies

AWS GCP Docker Kubernetes Terraform GitHub Actions

Technical Leadership

Strategic Guidance Without the Full-Time Cost

The Problem

You need senior technical direction but aren't ready for a full-time VP of Engineering. Decisions get delayed, architecture drifts, and your team lacks mentorship from someone who's been there.

The Outcome

Clear technical direction, a growing engineering team, and confidence that you're building on a solid foundation—at a fraction of a full-time executive cost.

Business Benefits

  • Strategic technical decisions without analysis paralysis
  • Engineering team growth through mentorship
  • Architecture that supports your business goals
  • Unbiased technology evaluation and selection

Technical Details

Strategic engineering guidance without the W2 commitment. Architecture reviews, team mentorship, and technical decision-making for growing engineering teams.

Approach

  • Architecture & design reviews
  • Technical roadmap planning
  • Engineering team mentorship
  • Technology evaluation & selection

Technologies

Code Review Training Strategy Process Improvement

IoT & Edge Computing

Turn Device Data Into Business Intelligence

The Problem

You have sensors and devices generating data, but it's siloed, slow to process, or not being used effectively. Getting data from the edge to insights is harder than expected.

The Outcome

An integrated IoT platform where device data flows reliably to your systems, processed at the edge when needed, enabling real-time decisions and analytics.

Business Benefits

  • Real-time visibility into field operations
  • Reduced cloud costs through edge processing
  • Reliable data collection even in challenging environments
  • Actionable insights from previously untapped data

Technical Details

Edge computing and embedded firmware for IoT deployments. Linux Foundation EdgeX Foundry contributor with production LoRaWAN networks and Rust firmware experience.

Approach

  • EdgeX Foundry microservices
  • LoRaWAN network integration
  • Rust & Go firmware development
  • MQTT and edge protocols

Technologies

EdgeX Foundry LoRaWAN Rust Go MQTT Edge Computing

Not Sure What You Need?

Every situation is unique. Let's have a conversation to understand your challenges and find the right approach together.