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M. L. FilippML

M. L. Filipp

Backend Engineer - Web Performance & AI rescue

€359/day
London, GB
3-7 years

Average response time: 1 hour

About M. L.

Hi, I’m Maya, a Backend Software Engineer with infrastructure and cloud experience, and an active open source developer.

What I do for clients:

Backend Engineering for the Web - Optimizing platforms with service workers, caching, and native web APIs for speed, performance and resilience.

AI Project Rescue - Fixing broken AI generated or low-code/no-code projects, replacing hacks with solid engineering. I remove vendor lock in, cut token costs, and make your app production and scale ready.

Cloud + CI/CD - Building stable backends (Node.js, FastAPI, etc.), scaling them in multi-cloud environments, and streamlining deployments with CI/CD.

Why work with me? I bridge fast moving AI and solid software engineering, so you don’t have to choose between quick experiments and long term stability. My goal is to leave you with code that lasts, scales, and saves you money.
  • English

    Native or bilingual

  • French

    Conversational

Can work on-site
London (up to 50km)

Experience

  • mordax.io
    Backend Software Engineer
    TECH
    January 2024 - Today (2 years and 5 months)
    London, United Kingdom
    Recently focused on upskilling with full stack web development projects, including AI (Claude Code, Cursor, Replit, Pythagora, Elevenlabs). Tools used: FastAPI, Python, Drizzle ORM, TypeScript, React, PostgreSQL.
    • Built end to end web platform for handling large amounts of image media (100+ per post, in a few seconds) using Node.js, Express, React, TypeScript, Supabase and Drizzle ORM.
    • Built end to end web platform for developers to share small bug logs to build a knowledge base to refer back to, using FastAPI, Python, TypeScript, React, Firebase (Firestore and Auth).
    • Regular at AI Tinkerers in London as well as other major technical events. Involved deeply with the Indie hacker and tech community in the UK.
    • Consulted with clients on challenges with scaling and making AI developed platforms production ready.
    Prior to 2024, I spent 2023 travelling.
    FastAPI Typescript Node.js artificial intelligence Firebase
  • Platform.sh
    Backend Engineer (Infrastructure Focus)
    TECH
    June 2021 - March 2023 (1 year and 9 months)
    Paris, France
    Platform.sh is a PaaS competitor to DigitalOcean supporting enterprise cloud for more than 7,000+ customers and 17,000+ active developers worldwide, powering infrastructure for Adobe, Nestle, The British Council, University of Oxford, and more.
    • Reduced infrastructure OS upgrade time from 40 mins to 5 mins for downstream engineers by connecting them to upstream Golang workflow
    • Built easy to customize Python code that reduced deployment upgrades from 50 mins to 10 mins
    • Maintained, scaled and decommissioned cloud infra across AWS, Azure, GCP, & French Cloud Companies (OVH, Orange).
    • Led static and runtime audits of an internal organization-wide Golang CI tool, pinpointed the root of persistent mid-deployment failures in downstream teams risking major outages, prompted formal review and process rescoping to align tool usage with intended scope
    • On-call support, automation workflows, container orchestration (LXC), internal tooling similar to Kubernetes
    Python multi-cloud GO Amazon Web Services OVH
  • OCADU
    Backend and Full Stack Engineer, Lead
    TECH
    September 2019 - March 2021 (1 year and 7 months)
    Toronto, ON, Canada
    Led software development for an innovative digital museum platform - as a result, the platform had a publication.
    • Led technical direction and engineered using MySQL, Express, React, Node.js as well as leveraging unusual PWA/Web API strategies for supporting Indigenous remote users
    • Managed tech team, liaised with museum curators/designers and led Agile sprints
    • Release cycle went from 1-month manual production deployments to 1 day by introducing CI/CD (AWS CodeDeploy, EC2, Travis CI)
    • Set a precedent at the institute to bring in AWS services after months of back and forth and oversaw $10,000 for migration which led to the above improvements in release cycle as well as more storage and stability for the platform
    • Platform attracted partnerships with museums in the UK, Germany and Canada
    Node.js Amazon Web Services React.js Web APIs MySQL

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Education

  • Computer Programming & Analysis
    Seneca Polytechnic
    2019
    Computer Programming & Analysis

Skill set

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