Efficiency Engineer & Co-Founder
The Metamodern Company 2022–Present
- — AI visual pipeline architecture
- — Custom inference workflows (Python, ComfyUI)
- — Edge-cutting vision model R&D
Innokentiy Vetrov
Efficiency Engineer & AI Systems Architect
Paris, France • inno@vetrov.fr
Profile
AI Research Engineer bridging audiovisual production and industrial automation. Specializes in Computer Vision, Generative Inference, and Neuromorphic Acceleration. Designs invisible engines powering creative experiences with high-throughput efficiency.
Core Competencies
Advanced Computer Vision
CLIP, DiT, video generation pipelines
CLIP, DiT, video generation pipelines
High-Performance DevOps
Multi-cloud (AWS, GCP, OVH) for AI inference
Multi-cloud (AWS, GCP, OVH) for AI inference
Neuromorphic R&D
SNN + generative video research
SNN + generative video research
Full-Stack Automation
OpenAI/Anthropic API integration
OpenAI/Anthropic API integration
Technical Skills
AI Frameworks
PyTorch TF SD Llama RAG ComfyUI CLIP
DevOps
AWS GCP Docker K8s GitLab CI
Code
Python Node.js React PostgreSQL TS
Research
CIFRE PhD candidate: Generative Video Inference & Neuromorphic Computing
Experience
Efficiency Engineer & Co-Founder
The Metamodern Company
• 2022–Present
AI visual pipeline architecture · Custom inference workflows (Python, ComfyUI) · Edge-cutting vision model R&D
Process & Data Manager
Ooshot
• 2022–Present
Multi-cloud AI infrastructure · Enterprise model fine-tuning (Llama, SD) · CRM-to-AI data pipelines
Full-Stack AI Developer
Ooshot (Oosearch)
• 2022
CLIP + Pinecone hybrid search engine · AWS migration for inference workloads
Lead Video Editor & IT Ops
Clapnclip
• 2018–2020
Post-production automation tools
Education
Master's AI & Management
IA School, Paris • 2022
Scientific Baccalaureate (CS)
Lycée Isaac Newton • 2017
Selected Clients
Ooshot • SANOFI • VISA • Ton App • Collège de Paris
Innokentiy Vetrov
Efficiency Engineer & AI Systems Architect
"The Engineer of the "Soulful Machine""
Paris, France • inno@vetrov.fr
Executive Summary
AI Research Engineer bridging audiovisual production and industrial automation. Specializes in Computer Vision, Generative Inference, and Neuromorphic Acceleration. Designs invisible engines powering creative experiences with high-throughput efficiency.
Core Competencies
Advanced Computer Vision
CLIP, DiT, video generation pipelines
High-Performance DevOps
Multi-cloud (AWS, GCP, OVH) for AI inference
Neuromorphic R&D
SNN + generative video research
Full-Stack Automation
OpenAI/Anthropic API integration
Professional Experience
Process & Data Manager
Ooshot 2022–Present
- — Multi-cloud AI infrastructure
- — Enterprise model fine-tuning (Llama, SD)
- — CRM-to-AI data pipelines
Full-Stack AI Developer
Ooshot (Oosearch) 2022
- — CLIP + Pinecone hybrid search engine
- — AWS migration for inference workloads
Lead Video Editor & IT Ops
Clapnclip 2018–2020
- — Post-production automation tools
Technical Arsenal
ai
PyTorch TF SD Llama RAG ComfyUI CLIP
devops
AWS GCP Docker K8s GitLab CI
code
Python Node.js React PostgreSQL TS
Education
2022
Master's AI & Management
IA School, Paris
2017
Scientific Baccalaureate (CS)
Lycée Isaac Newton
Current Research
CIFRE PhD candidate: Generative Video Inference & Neuromorphic Computing
Notable Clients
Ooshot SANOFI VISA Ton App Collège de Paris