Available for B2B projects

Senior DevOps Engineer at LSEG, PhD candidate in AIOps & MLOps, teaching Artificial Intelligence & Machine Learning at ACS-UNSTPB

Senior DevOps Engineer at LSEG

I keep production reliable at the London Stock Exchange Group, teach Artificial Intelligence & Machine Learning at ACS-UNSTPB, and research AIOps & MLOps as a PhD candidate.

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Years of experience
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Projects
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Learning hours
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Certifications
Denis-Andrei Marinică, stylised cut-out portrait
Employers & institutions

Industry, academia and B2B

01

Senior DevOps Engineer at the London Stock Exchange Group

Senior DevOps Engineer at LSEG since 2025: CI/CD, infrastructure as code and Kubernetes across AWS, Azure and GCP, OIDC-based identity, observability, and the escalation call when production needs it.

Experience
02

Teaching AI & ML, researching AIOps & MLOps

University teaching assistant at ACS-UNSTPB for Artificial Intelligence & Machine Learning (Intelligent Image Processing, MSc) and Software Engineering (BSc); PhD candidate researching AIOps & MLOps, AI-driven operations and production machine-learning platforms; AI research engineer in the Romanian AI Hub.

Research & Teaching
03

Independent DevOps & MLOps consulting

Consulting and audits, scoped projects and monthly retainers through my own practice, delivered as code in your repositories.

Work with me

Projects that shipped

ResearchActive

HRIA: Romanian Artificial Intelligence Hub

AI Research Engineer, National University of Science and Technology POLITEHNICA Bucharest

From research prototype to production: training and evaluating ML/DL models, then building the CI/CD, infrastructure and MLOps workflows that run them reliably within Romania's national AI hub.

  • Design, train and evaluate machine-learning and deep-learning models; run experiments and iterate on architectures against research objectives.
  • Profile and optimise algorithms for accuracy, speed and resource efficiency, turning prototypes into clean, production-quality code.
  • Build CI/CD pipelines for ML workloads: automated tests, model validation, versioning and release workflows.
PythonMachine learningTensorFlowPyTorchMLOps+5
Apr 2026 - Present
ResearchActive

GLOBE-CoP: Data Space Online Learning Platform

Full Stack Developer with DevOps, GLOBE-STEAMSS, ACS-UPB

A cloud-native, Udemy-style learning marketplace (instructors publish HD courses and live webinars, learners get recommendations, forums and progress dashboards) deployed on Kubernetes (EKS/GKE) with full CI/CD and observability.

  • Built the responsive frontend (ES6+, SASS, Flexbox/Grid) with search, enrolment, playlists and in-browser HLS video playback.
  • Designed the backend: Node/Express REST APIs plus Flask micro-services for auth, Stripe/PayPal payments and recommendations, secured with JWT; RBAC for Admin/Instructor/Student.
  • Dockerised every service and deployed with Helm to EKS/GKE; GitHub Actions and Jenkins pipelines build, scan and test (Jest, pytest, Selenium) and push signed images.
Node.jsExpressPythonFlaskJavaScript+31
Jun 2025 - Present
ResearchActive

TRAVEE: VR neuro-rehabilitation platform

Software Developer with DevOps, ACS-UPB

Unity serious games fused with EEG, FES and haptic feedback, plus AI analytics, to accelerate post-stroke recovery in clinics and at home, with a full CI/CD and cloud backbone on AKS.

  • Built Unity (C#) mini-games for reach, balance, gait and coordination with OpenXR, Quest and Windows MR support.
  • Engineered data handlers synchronising EEG, FES and haptic streams into a state machine that auto-tunes difficulty from real-time performance metrics.
  • Modularised the Unity codebase into packages/ScriptableObjects; exposed REST and WebSocket APIs (ASP.NET Core) for profiles, session logs and remote progress; OAuth2/SAML auth and AES-256 encryption.
UnityC#.NETOpenXRPython+19
Jun 2025 - Present

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Three ways to work together

Three engagement models. Prices on request.

Consulting / Audit

Consulting & audit

On request

A second pair of senior eyes on your platform.

  • Architecture and pipeline review with a written findings report
  • Security, reliability and cost quick-wins list
  • Prioritised roadmap and effort estimates
  • Optional hands-on pairing session with your team
  • Half-day to one-week engagements
  • Written report you keep
  • Follow-up call included
Get in touch
Retainer

Retainer / monthly support

On request

An on-call DevOps engineer without the hire.

  • Reserved monthly hours with a guaranteed response time
  • Kubernetes, cloud and pipeline maintenance and upgrades
  • Incident support and post-incident reviews
  • Monthly report of work done and recommendations
  • Flexible hour blocks, rolled over one month
  • Priority scheduling
  • Cancel with one month's notice
Get in touch

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PhD candidate in AIOps & MLOps, teaching AI & ML

Research on AI-driven operations and production ML platforms, 6 research projects (HRIA, Sound of Vision, TRAVEE, GLOBE-CoP, GREENUS, ROSPIN/ESA), and 2 university courses as teaching assistant.

  • Intelligent Image Processing, MSc
  • Software Engineering, BSc

See research & teaching

2,011 hours of courses, 53 certificates

Courses completed
18
Certificates
53
Top categories
DevOps & CloudAI/ML & Computer VisionProgramming Languages

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Tools I work with

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Questions clients ask most

A short discovery call, then a written scope with milestones. Everything I build lands in your repositories as code (infrastructure, pipelines, docs) with weekly demos and a recorded handover at the end.

Remote by default, from Bucharest (EET/EEST, UTC+2/+3), with overlap for European and UK hours. On-site days in Bucharest can be arranged for workshops and kick-offs.

I take on B2B engagements alongside my roles at LSEG and the university, so capacity is limited and planned in advance. Consulting and audits can usually start within two weeks; larger projects are scheduled a month or more ahead. TODO: confirm availability wording.

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