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Vlad MiftodiVM

Vlad Miftodi

Fractional CTO & AI Engineer | From RAG to Product

€602/day
London, GB
8-15 years

Average response time: 1 hour

About Vlad

Fractional CTO and hands-on AI engineer. I help SMBs and scale-ups ship AI-augmented products - from LLM integration and RAG to autonomous AI agents - without the overhead of building a full in-house team.
As CTO at RevUp Dental, I built and operate a production AI system that analyses thousands of patient calls per month using OpenAI, Twilio and AWS, on a Node.js/TypeScript + Angular stack. Before that, I led DevOps at Deloitte, where I cut project costs 20% and reduced time-to-market 25%.
Typical engagements: technical leadership for early-stage teams, AI/LLM strategy and implementation, cloud and FinOps optimisation, DevOps and SRE foundations, and AI governance for regulated industries (healthcare, financial services).
  • English

    Native or bilingual

  • French

    Conversational

  • Romanian

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • RevUp Dental
    Chief Technology Officer
    DIGITAL AND IT
    December 2023 - Today (2 years and 6 months)
    Toronto, Canada
    Lead a full-stack product team building an AI-powered dental practice management platform serving 100+ clinics across North America.

    AI in production: Designed and shipped an OpenAI-based call analysis pipeline (transcription, classification, lead scoring) processing thousands of Twilio calls per month — moving the company from rules-based scoring to LLM-driven insight.
    Architecture: Node.js / TypeScript / Express backend with Sequelize on MySQL; Angular 16 frontend; AWS (S3, SQS, Lambda); Twilio for telephony; SendGrid; Google APIs. ~50k LoC, strict type-checking, CI/CD via Docker.
    Team scaling: Doubled the technology team (engineering, UX/UI, analytics); introduced a six-agent specialised review workflow (architect, backend, frontend, QA, business analyst, PM) that cut review cycles ~40%.
    Reliability & FinOps: Migrated infrastructure to Terraform-managed AWS, built a multi-environment pipeline (dev / qa / prod / twilio), and instrumented cost monitoring across GPU/LLM workloads.
    Governance: Drove HIPAA compliance audit and remediation plan for PHI data flow across vendors; documented the call-processing pipeline end-to-end.
    Product management IT Strategy artificial intelligence Node.js SQL
  • Deloitte,
    DevOps Team Lead
    DIGITAL AND IT
    February 2023 - December 2023 (10 months)
    London, UK
    Led a 6-engineer DevOps team on enterprise migrations. -20% project cost, -25% time-to-market. Stack: Kubernetes, Terraform, Jenkins, AWS.
    Skills: DevOps, Kubernetes, Terraform, AWS, FinOps, Cost Optimisation, Team Leadership
    DevOps Team management Data Engineer IT Strategy Kubernetes
  • Deloitte
    DevOps Engineer
    DIGITAL AND IT
    March 2022 - January 2023 (10 months)
    London, United Kingdom
    • Addressed and resolved product reliability issues, improving system uptime by 99.9%.
    • Enhanced automation and monitoring processes, leading to a 15% improvement in deployment e/iciencies and system stability.
    Site Reliability Engineering Jenkins Python Bash DevOps

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Education

  • MSc in Management
    UCL, London, United Kingdom / HEC Paris
    2018
    MSc in Management
  • BSc in Accounting
    University of York
    2017
    BSc in Accounting

Skill set

Categories