Building scalable software
& high performing teams
I believe the best technology comes from teams that are seen, heard, valued, respected, and challenged. Over 11 years, I've maintained a 90% retention rate by treating 1:1s as sacred, celebrating wins loudly, and creating psychological safety where innovation happens naturally. Crafted software as a service products with €1M+ ARR, reduced infrastructure costs by 80%, and improved gross margins by 20%, all while maintaining 99.99% uptime. Honoured in the CTO Craft 100, I’ve learned that sustainable success comes from balancing aggressive and methodical technical ambition with authentic care for the humans crafting it.
My Professional Journey
With over 11 years of experience, I have built and scaled reliable infrastructure and managed high-performing teams.
CTO
2019 - 2025
Built the production infrastructure and distributed systems for an AI/ML computer vision retail analytics SaaS platform serving enterprise clients around the world. Led the technical architecture from 0 to 1 while maintaining individual contributor hands on responsibilities. Managed complete AWS/GCP infrastructure supporting 25+ microservices processing millions of video analytics events daily across thousands of retail locations. The company raised €3M+ in seed funding.
Firefighter
2024 - Present
Serving the community as a retained firefighter responding to emergency calls. Demonstrating commitment to community service involves crisis and risk management, making rapid decisions under pressure, and coordinating teams in high stakes environments.
- Respond to fire, search, rescue, and emergency medical incidents across County Cavan in Ireland as part of a highly trained on-call retained firefighter
- Completed intensive firefighter training including breathing apparatus, compartment fire behaviour, casualty rescue techniques, hazardous materials response, and emergency medical care
- Maintain emergency response readiness with regular training drills, equipment maintenance, and physical fitness
Career Transition
2017 - 2019
Strategically pivoted from web consulting to formal software engineering through intensive formal education and hands-on project work, recognising the shift toward cloud-native infrastructure and enterprise systems. I used this period for intensive technical upskilling, emergency services training, and volunteer leadership.
Founder & CEO
2012 - 2017
Founded and operated a profitable full-service technical consultancy company delivering custom software, cloud solutions, DevOps, and IT infrastructure to international enterprise clients. Kept profit margins between 50% and 60% for five years in a row.
- Architected and deployed cloud-hosted web applications and SaaS platforms using AWS EC2, RDS (MySQL/PostgreSQL), S3, CloudFront CDN with automated backup strategies and monitoring via CloudWatch
- Implemented CI/CD pipelines for client deployments using Git-based workflows, automated testing, and blue-green deployment patterns, minimising downtime
- Provided 24/7 infrastructure support and incident response with a 3-hour SLA for critical issues, maintaining 99% uptime for critical business systems
- Designed scalable backend systems (PHP, MySQL, JavaScript) with payment gateway integrations (Stripe, PayPal), third-party API connections, and responsive frontend
- Delivered 50+ technical projects including e-commerce platforms, booking systems, custom CRM/CMS solutions, and corporate intranets with 80% client retention and 60% referral-based revenue
My Featured Projects
Production systems built at scale to serve clients and deliver measurable business impact
AWS Infrastructure Scheduler
An intelligent, time zone aware infrastructure orchestration system that automatically manages AWS cloud resources based on business operating hours. Built with Python and leveraging AWS Auto Scaling Groups, ECS, SQS, and Redis, this system reduces cloud compute costs by 50-70% while maintaining 99.9% uptime through sophisticated state preservation and dependency-aware shutdown/startup sequences. 3 years with 20+ semantic versioning releases.
Key Impact & Achievements
- 50-70% reduction in AWS costs
- Zero-downtime operations
- 20+ production releases with backward compatibility
- Multi-timezone awareness and support
- Queue-aware shutdown logic
- 99.9% uptime
- AWS
- Python
- Docker
- Bash
- Kubernetes
- Terraform
- MySQL
- Redis
- CI/CD
- Linux
- State Machine
- Event-Driven
- Microservices
- Idempotency
AWS Infrastructure Library
Python infrastructure library that standardises AWS service interactions across a multi-tenant SaaS platform. Built over 5 years, this internal toolkit abstracts 11 AWS services behind clean, typed interfaces, reducing infrastructure integration complexity by 80% while enabling hybrid cloud deployments. The library serves as the foundational infrastructure layer for a computer vision analytics platform processing millions of video frames daily across hundreds of retail locations.
Key Impact & Achievements
- 15-20% improvement in feature delivery velocity
- Hybrid cloud supporting AWS and Kubernetes
- 11 production-grade service handlers
- 37 production releases over 5 years
- 5-year backward compatibility
- Multi-tenant infrastructure
- AWS
- Python
- CI/CD
- Docker
- Kubernetes
- boto3
- Linux
- Private PyPI
- API Design
- Factory Pattern
- Handler Pattern
- Intelligent Pagination
- Microservices
Intelligent Message Broker
Intelligent message broker for a distributed CV analytics platform. Built with Python, this system autonomously coordinates real-time processing of retail surveillance data across multiple AI engines, handling millions of video frames daily. The platform shows an advanced distributed systems architecture, implementing exactly-once semantics through Redis based state management while maintaining 24/7 autonomous operations.
Key Impact & Achievements
- Cloud-agnostic design
- Multi-tenant scalability
- 24/7 autonomous operation
- Real-time configuration updates
- Thread-safe singleton pattern
- Exactly-once delivery semantics
- Idempotent processing architecture
- GCP
- AWS
- Python
- Kubernetes
- Redis
- MySQL
- Docker
- CI/CD
- Linux
- Singleton Pattern
- 12-Factor App
- Thread Safety
- Idempotency
Synthetic Data Generator
An emergency Python microservice that generates statistically representative synthetic foot traffic data for computer vision analytics systems. Built with exceptional code quality standards (95% test coverage, 115+ automated quality rules), the system maintains data continuity during sensor outages while preserving complex multi-dimensional demographic distributions across temporal patterns.
Key Impact & Achievements
- Sophisticated statistical algorithms with temporal awareness
- Removed need for backup sensor hardware
- Enabled continuous dashboard reporting
- Retroactive backfill capabilities
- Historical pattern analysis
- 99.99%+ Uptime
- Distributed architecture
- Python
- Redis
- MySQL
- Docker
- CI/CD
- Linux
- Data Pipeline
- Microservices
- Test-Driven Development
- State Management
- Algorithm Design
Footfall API
A dual-microservice system that bridges physical retail analytics with cloud-based business intelligence platforms. Built with Python and modern DevSecOps practices, this solution processes customer footfall data from in-store cameras and delivers actionable hourly metrics to external Point of Sale (POS) systems, enabling data-driven operational decisions for multi-location retail chains.
Key Impact & Achievements
- Automated data collection and reporting
- Real-time operational intelligence
- Seamless third-party integration
- Asynchronous architecture
- Batch processing architecture
- 3-month rapid development cycle
- Zero-downtime deployment strategy
- Python
- REST API
- Docker
- CI/CD
- Redis
- MySQL
- Linux
- Flask
- Batch Processing
- Producer-Consumer
- Test-Driven Development
- Stateless Design
Data Persistance Software
An event-driven microservice that serves as the critical data persistence layer for a multi-application computer vision analytics platform. Built with Python, the system processes real-time event streams from AI-powered video analytics and persists structured data into relational databases. Deployed across multiple global regions with 89% test coverage and 4+ years of continuous production operation.
Key Impact & Achievements
- Reduced maintenance overhead by 80%
- Enabled multi-cloud deployment
- Led architectural refactor
- Established code quality culture
- Pioneered modern Python adoption
- 89% test coverage
- Zero-downtime deployments
- AWS
- GCP
- Python
- MySQL
- Docker
- Kubernetes
- CI/CD
- Microservices
- Event-Driven Architecture
- Factory Pattern
- Event Streams
- Real-Time
- Linux
Kubernetes Infrastructure Platform
Architected, built and deployed a cloud-native infrastructure platform that reduced deployment time by 90% (from days to hours). Built using Kubernetes, Helm, and 3,500+ lines of automation, the platform orchestrates 23 infrastructure services and 7 production applications, featuring complete observability (ELK + Prometheus/Grafana), ML inference serving (NVIDIA Triton), and hybrid cloud connectivity. Delivered €XXXK annual savings through infrastructure automation and operational excellence.
Key Impact & Achievements
- 90% deployment time reduction
- €XXXK annual savings
- 99%+ deployment success rate
- Zero to production in hours
- 23 infrastructure services orchestrated
- Hybrid cloud architecture
- Complete observability and monitoring
- Kubernetes
- GCP
- AWS
- Helm
- CI/CD
- Terraform
- Docker
- Linux
- Elasticsearch
- Kibana
- Grafana
- Prometheus
- MinIO
- ElasticMQ
- Bash
Digital Preservation Software
A cloud-native surveillance archival platform that automates continuous video recording from commercial security camera systems, reducing storage costs by 60-80% while ensuring compliance with long-term retention requirements. Built with Python, containerised deployment, and multi-cloud architecture (AWS, GCP, on-premises), this system processes video streams 24/7 with microsecond-precision timing, intelligent frame integrity monitoring, and automated credential management.
Key Impact & Achievements
- Continuous 24/7 recording
- Delivered 60-80% reduction in video archival costs
- Self-healing infrastructure maintaining 99.99% uptime
- Agnostic storage supporting AWS, GCP, and MinIO
- 70%+ test coverage with 190+ automated code quality rules
- Created extensible platform supporting 500,000+ cameras
- Containerized deployment using Xvfb (virtual X11 framebuffer) and x11vnc
- Python
- Docker
- AWS
- GCP
- Selenium
- CI/CD
- Microservices
- Compliance
- Linux
- Browser Automation
- Image Processing
- Video Processing
Point of Sale API
Architected and delivered a multi-cloud data integration platform that bridges modern Point of Sale systems with enterprise analytics infrastructure. Built using FastAPI and Python, this webhook-based microservice processes real-time retail transactions across 20+ countries, transforming vendor-specific data formats into standardised analytics schemas. The solution shows expertise in cloud-native architecture, security-first design, and scalable system engineering, delivering sub-second transaction visibility for international retail operations.
Key Impact & Achievements
- Reduced data latency from hours to sub-second processing
- Achieved production deployment in 30 days
- Deployed across 20+ countries with full GDPR compliance
- Automated data pipelines serving 5 business teams
- Engineered vendor-agnostic infrastructure
- Implemented Factory pattern enabling rapid onboarding
- Select-or-insert idempotency patterns
- Comprehensive CI/CD pipeline with pre-commit hooks
- Python
- FastAPI
- Docker
- AWS
- GCP
- REST API
- ETL Pipeline
- CI/CD
- MySQL
- Webhooks
- SOLID Principles
- GDPR
- Real-Time
- Microservices
Multi-Tenant SaaS Cloud Infrastructure
Led the design, implementation, and 5+ year evolution of an Infrastructure as Code platform powering a multi-tenant SaaS application in the retail analytics space. Built using Terraform and AWS, the infrastructure orchestrates 25+ microservices, including ML inference servers, event-driven processing pipelines, and multi-layered data systems. Achieved a 90% reduction in deployment time and 60-70% cost optimisation through intelligent resource management and auto-scaling strategies.
Key Impact & Achievements
- Infrastructure provisioning from 2 days to 2 hours
- 60-70% Total cost optimisation
- 99.99% Production uptime
- Unlimited enterprise scalability
- Modular, reusable architecture
- 30+ production releases with backward compatibility
- 7-Layer Architecture with clear separation of concerns
- GPU-Accelerated ML Infrastructure
- AWS
- Terraform
- Well Architected Framework
- Docker
- ARM
- Linux
- MySQL
- MongoDB
- Microservices
- Event-Driven
- CI/CD
- Blue-Green Deployment
My Techical Expertise
Deep hands-on experience in building distributed systems with modern cloud-native technologies and ML/AI components
Back-End Engineering
- Python
- FastAPI
- Flask
- Django
- Bottle
- Celery
- sched
- asyncio
Distributed Systems
- Microservices
- Event-Driven Architecture
- REST APIs
- GraphQL
- gRPC
- Message Queues
- Pub/Sub Patterns
- Circuit Breakers
Database and Caching
- MySQL
- MariaDB
- PostgreSQL
- SQLite
- Redis
- Valkey
- Schema Design
- Query Optimisation
Cloud and Infrastructure
- AWS
- GCP
- Docker
- Terraform
- Kubernetes
- Helm
- Linux
- Podman
Data Processing
- ETL/ELT
- Batch Processing
- Stream Processing
- Data Warehousing
- Data Lakes
- Data Modeling
- Processing Patterns
- Data Quality
AI/ML Integration
- OpenCV
- PyTorch
- TensorFlow
- ONNX
- Triton Inference Server
- NumPy
- Pandas
- SciPy
DevOps
- Git
- Bash
- Prometheus
- Elasticsearch
- CI/CD
- Filebeat
- Kibana
- Grafana
Code Quality
- pytest
- mypy
- black
- ruff
- isort
- pre-commit
- mkdocs
- Hypothesis
About Me
I'm an entrepreneurial and hands-on technology leader with 11+ years of building profitable, reliable systems from concept to scale. CTO Craft 100 recognised me, alongside CTOs from Netflix, Slack, LinkedIn, and Twitch, for my technical leadership and business impact.
At EVERYANGLE, I led 10+ engineers from founding through €3M+ fundraising to €1M+ ARR with 60%+ profit margins. I excel in building secure and scalable systems that drive measurable business outcomes while maintaining operational excellence, aggressive cost discipline and psychological safety.
My unique combination of deep technical expertise (cloud-native architecture, distributed systems, AI/ML integration, DevSecOps) and executive business acumen (fundraising, P&L management, strategic partnerships) enables me to bridge the gap between technology and business value.
Currently seeking my next challenge where I can combine technical expertise with business leadership to build exceptional teams and companies. Interested to learn more about me and what can I bring to the table? Let's talk
11+ years of professional experience
Software Development, DevOps, Cloud Engineering, and Technical Leadership
6+ years of zero security incidents
Intentional security in depth and system reliability by design
90% infrastructure cost reduction
Strategic, step-wise and agressive infrastructure optimisation
CTO Craft 100 honouree
One of 100 influential technology leaders recognised globally for impact
Remote team leadership
Built and scaled remote teams with across multiple time zones
Let's Connect
I'm actively seeking new challenges. Whether you're scaling infrastructure or team, optimising costs, or building AI/ML platforms.
My Email Address
My LinkedIn Profile
- Remote-first and EU/UK teams
- 0-1 product building opportunities
- Equity focused compensation packages
- Real world and challenging problems at scale
- Senior engineering role at startup or scale-up
- Culture that values psychological safety and trust