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 DentalChief Technology OfficerDIGITAL AND ITDecember 2023 - Today (2 years and 6 months)Toronto, CanadaLead 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.
- Deloitte,DevOps Team LeadDIGITAL AND ITFebruary 2023 - December 2023 (10 months)London, UKLed 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
- DeloitteDevOps EngineerDIGITAL AND ITMarch 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.
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Education
- MSc in ManagementUCL, London, United Kingdom / HEC Paris2018MSc in Management
- BSc in AccountingUniversity of York2017BSc in Accounting