06/15/2026 updated
verified
Premium member
100 % availableAI Engineer & Solution Architect
London, United Kingdom
Only remote
M.Sc. Distributed SystemsAbout me
Senior AI Solution Architect with 10+ years of experience taking AI systems from unstable prototypes to reliable production platforms. I combine deep cloud-native expertise (Kubernetes, GitOps, IaC, multi-cloud) with hands-on AI architecture — agentic systems, RAG, LLM orchestration, and MLOps.
TimescaleDBAI AgentsArgo CDAzure Kubernetes ServiceFlux CDAzure DevOpsJava (Programming Language)Application Programming Interfaces (APIs)Cloud ComputingCloud EngineeringData ArchitectureEnterprise Architecture FrameworkIntegrated Architecture FrameworkPython (Programming Language)PostgreSQL
LLM Integration & RAG Architectures
Deep hands-on expertise in designing and implementing RAG architectures and LLM integration, including end-to-end LLM solutions processing 100K+ documents daily with optimised vector search and reduced AI inference latency by 75%.
Cloud Infrastructure & Multi-Cloud Deployments
Extensive experience with AWS, Azure, and GCP, including Terraform-based IaC for multi-cloud deployments, Kubernetes cluster management, GitOps with ArgoCD, and CI/CD pipelines with full observability and autoscaling.
Python Backend Development
Strong Python backend development skills applied to AI/ML systems, including building production AI chatbots, ML model serving infrastructure, Python SDKs, and microservices using FastAPI, Celery, and Kafka.
Vector Databases
Practical experience with vector databases including pgvector, TimescaleDB, and Qdrant for vector similarity search, custom chunking, and retrieval strategies in production AI systems.
OpenAI & Anthropic API Integration
Integration of OpenAI and Anthropic APIs for production AI services, including monitoring, scaling, and LLM fine-tuning for domain-specific tasks.
Observability & Monitoring
Implementation of full observability stacks using Prometheus, Grafana, Loki, CloudWatch, and Thanos for production AI and cloud-native platforms.
Node.js & Java Backend Development
Backend development experience with Node.js and Java, including microservices for real-time chat (Spring Boot), WebSocket communication, and Java/Hibernate backends for trading platforms.
GraphQL & REST API Design
Design and implementation of comprehensive API strategies using REST and GraphQL for large-scale cloud and AI platforms.
LangChain & LLM Fine-tuning
Use of LangChain for building LLM-powered applications and fine-tuning open-source LLMs for domain-specific tasks with evaluation and benchmarking.
Kafka & Asynchronous Processing
Implementation of asynchronous background processing with Kafka to handle high-volume messaging reliably in production environments.
Experience
Professional experience10+ years
Freelancer since2020
Languages
EnglishFluentFrenchBasic knowledgeRomanianNative speakerSpanishBasic knowledge
Project history
AI Platform Engineer responsible for architecting and operating a highly available Azure platform on AKS, with GitOps (ArgoCD), Terraform IaC, Python automation, Java (Spring Boot) and Node.js microservices for real-time data processing, and a Prometheus/Grafana/Loki observability stack. Extended the platform with a production agentic AI system on Azure AI Foundry — multi-model routing (GPT-5, o4-mini), RAG on Azure AI Search + Cosmos DB, and MCP tool servers deployed on AKS with Workload Identity. Built an LLM-as-Judge evaluation framework with trajectory testing, gating model deployments on quality metrics — applying the same CI/CD discipline to AI as to infrastructure.
Led AI strategy for an internal Platform-as-a-Service team; helped 20+ application teams integrate LLM and ML capabilities. Built Python-based ML model serving infrastructure and Python SDKs for standardised AI/ML integration across the organisation. Conducted technical workshops on LLM integration and ML deployment for engineering teams.
Led solution architecture for highly available AKS clusters serving 1000+ microservices; achieved 99.99% uptime across a 200+ application cloud migration. Designed a comprehensive API strategy using REST and GraphQL; implemented GitOps with ArgoCD and GitLab. Built Python-based automation tools for infrastructure management and monitoring. Mentored 15+ engineers on cloud-native development; managed technical scope and stakeholder expectations.