# [name]

[Email] | [Phone Number] | [Location], UK
Dual UK and U.S citizenship with full right to work in both countries
Open to relocation and remote collaboration across any UK/US time zone(s)

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## Summary

Platform and backend engineer with 6+ years building scalable cloud infrastructure, Kubernetes platforms, and data-intensive software systems. Experienced designing distributed pipelines and optimising production workloads for performance and cost efficiency.

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## Professional Experience

### Software Engineer - [Company A] (02/2023 - 12/2025)

- Owned and architected production-grade Kubernetes clusters from scratch using Terraform on GKE, establishing documented processes, secure networking, and CI/CD pipelines for application deployment.
- Re-architected the observability stack, migrating from Datadog to GCP and reducing monitoring costs by 95%.
- Engineered scraping and media ingestion pipelines in Python using yt-dlp and custom scrapers to reliably capture YouTube, radio, and social media content at scale; handling rate limits, format changes, and platform-specific edge cases daily.
- Architected distributed ETL pipelines using Python services for cost-effective, AI-powered audio transcription and multimedia storage, processing tens of thousands of hours of content weekly into Postgres and Elasticsearch.
- Profiled and overhauled memory-intensive ML data pipelines, introducing instrumentation and caching strategies that reduced CPU and memory usage up to 15x.
- Deployed and managed PostgreSQL (incl. pgvector) supporting both production APIs and AI-driven semantic search across large volumes of multimedia content.
- Mentored data scientists on software engineering best practices and led an organisation-wide initiative to improve documentation standards across services and applications.

### Platform Engineer - [Company B] (04/2022 - 10/2022)

- Designed and implemented a highly available distributed ETL pipeline for a customer-facing ClickHouse OLAP platform, ingesting and processing thousands of metrics per second.
- Engineered zero-downtime API deployment strategies using Nginx, iptables, and blue-green principles, fully automated with Ansible and Terraform.
- Streamlined developer workflows by introducing Docker and Compose for local testing and implementing robust CI/CD and GitFlow processes for all new projects.

### DevOps Engineer (Contract) - [Company C] (07/2021 - 01/2022)

- Re-architected the core OpenSIPS configuration, refactoring and templating the codebase to improve execution speed and long-term maintainability.
- Enabled geo-redundancy and high availability by integrating the service with AWS Global Accelerator.
- Initiated the transition from manual deployments to an immutable infrastructure model using Packer and Terraform.

### Software Engineer - [Company D] (10/2020 - 07/2021)

- Developed backend services and tooling for VoIP infrastructure and telephony systems, including bespoke internal Python tooling to speed up development, testing and support processes across departments.

### Software Engineer - [Company E] (02/2019 - 07/2020)

- Worked on SIP/VoIP infrastructure and backend systems supporting hosted telephony platforms.

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## Education

**BEng, Robotics - [University A] (2019)**
- Final-year project: Implemented a stack machine virtual machine and a parser-compiler for a Turing-complete, Forth-like programming language in C.
- Projects included embedded systems development in C/C++, robotics with MicroPython, and PCB design.

**BTEC Level 3 Extended Diploma in Electronic Engineering - [College A] (2015)**

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## Skills

- **Languages:** Python, Bash, Shell, C, SQL
- **Frameworks & Tools:** Flask, Redis, FFmpeg
- **Cloud:** GCP (GKE, Cloud SQL), AWS (EC2, S3, Global Accelerator)
- **Containers & Orchestration:** Kubernetes, Docker
- **IaC & Config:** Terraform, Ansible, Nix
- **Databases:** PostgreSQL, Elasticsearch, ClickHouse, SQLite
- **Monitoring:** Prometheus, Datadog
- **CI/CD:** GitHub Actions, GitLab CI
- **OS:** Linux and BSD systems