Michail Berjaoui

Lead AI Engineer | LLM & MLOps

5 years deploying AI models to production at scale. Enterprise RAG specialist, fine-tuning (LoRA/QLoRA), OCR/NER. Based in Tokyo, actively seeking opportunities in Japan.

Enterprise RAG Fine-tuning LoRA vLLM / TensorRT Qdrant Kubernetes FastAPI GCP / AWS / Azure OCR / NER
Ask the AI about me Technical Choices
michail.berjaoui@gmail.com LinkedIn 07 83 00 00 84 Tokyo, Japan

Technical Skills

Generative AI
Enterprise RAG LoRA / QLoRA ReAct Agents Text-to-SQL LlamaIndex LangChain
Inference & Scaling
vLLM TGI Ollama TensorRT-LLM AWQ / GPTQ Continuous Batching Paged Attention
Vector Stores
Qdrant (self-hosted) PGVector Hybrid Search Reranking Metadata Filtering
MLOps & GPU
Kubernetes Docker Terraform Helm Prometheus Grafana Scaleway H100 RunPod
Backend & Data
FastAPI Python BigQuery Spark Airflow MinIO OCR / NER PDF Parsing
Cloud
GCP (Vertex AI, GKE) AWS (Lambda) Azure OVH Scaleway Cloud Run

Experience

Freelance — Lead LLM Engineer
Remote
June 2025 — Present
  • Fine-tuning 70B model + dynamic LoRA adapters — assistant with live personality switching in production on 2×H100 at Scaleway
  • E-commerce semantic search engine — RAG auto-activated at 100+ products (FastAPI + Qdrant + vLLM + auto-scaling)
SOMA — Lead Data Scientist & AI Architect
Paris / Remote · Team Lead (4-8 people)
Jul 2023 — June 2025
  • Rapid Visa — Automated identity document validation: OCR + NER + biometric matching + FastAPI + Kubernetes + MinIO
  • Jenius — Sovereign LLM (Scaleway) + multi-tenant enterprise RAG (Qdrant) + Text-to-SQL + K8s + load testing 100 concurrent users
  • StoneLake — Automated SCPI report parsing (PDF → financial ratios), strategic clustering & recommendation
Orange — Data/AI Division
France
Jan 2022 — June 2023
  • Industrialization of geospatial algorithms on Vertex AI — 40% reduction in uncertainty on the national fiber network
  • BigQuery pipelines + Cloud Functions + Looker dashboards
Amadeus — Data Engineer
Nice / Sophia Antipolis
Sept 2020 — Oct 2021
  • Central Spark/Hadoop data lake + strategic KPIs for cloud costs & tool availability
Education
Université Paul Valéry — Montpellier
Master MIASHS — Applied Mathematics & Computer Science
2019 — 2021

Université Nice Sophia Antipolis
Licence Mathématiques Appliquées (avec mention)
2015 — 2018
Languages
French — Native
English — B2, full professional proficiency
Japanese — Learning
Certifications
How Google does Machine Learning
Coursera | Google — Jul 2022

Modernizing Data Lakes & Data Warehouses with GCP
Coursera | Google — Jul 2022
Loading model...
RAM --%
APP --
CPU --%