Andrei Kudriashov

Co-Founder

Belgrade, Serbia0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved 5x company valuation growth.
Developed world's first scalable Robot Cashier.
Led AI strategy for top retail clients in Europe.

Stackforce AI infers this person is a leader in AI-driven retail technology with expertise in Computer Vision and MLOps.

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Skills

Core Skills

Ai StrategyMlopsComputer VisionMachine Learning

Other Skills

Team ManagementScrumAI Product LeadershipAdvanced AI ArchitecturesCV Product DevelopmentPyTorchArtificial Intelligence (AI)Generative AIInvestor RelationsOrganizational DesignStrategic PlanningProduct DevelopmentStartupsEngineering ManagementLarge Language Model Operations (LLMOps)

About

I am a Product-driven Head of AI, ex-Co-founder and Station F Alumni, who bridges the gap between complex R&D and commercial success. With a strong background in Applied Mathematics and 6+ years in AI, I focus on building scalable Computer Vision and GenAI products that drive company value. Currently, I lead AI at Retail Robotics Solutions (Station F alumni), where I’ve helped achieve a 5x increase in company valuation. I built the engineering team from scratch and led the development of the world’s first scalable Robot Cashier. My solutions have already served over 1,000,000 customers across Europe. What I bring to the table: 1) Strategic Growth: Secured roll-outs with major clients like Pingo Doce and Elior, contributing to our recognition as the Top 1 AI Retail Solution in Europe. 2) Technical Efficiency: Reduced product deployment costs by 50% by implementing robust MLOps practices and automating data labeling. 3) Innovation: Designed Agentic Systems using VLM, RAG, and Vector DBs to solve real-world retail friction. I’m always open to discussing AI strategy, AI-based products, or advanced AI algorithms. 📩 Contact: andreikudrds@gmail.com Top Skills: AI Strategy, Computer Vision, GenAI, MLOps, Azure/GCP, Team Leadership, LLM, AI agents.

Experience

Rrs - retail robotics solutions

Head of AI / Co-founder

Dec 2022 – Jan 2026 · 3 yrs 1 mo · Paris, Île-de-France, France · Hybrid

Spearheaded AI products, including the Robot Cashier Agentic System, serving transactions with >96% accuracy, and drove 5x company valuation growth through international rollouts (Pingo Doce, Elior).
AI Product Leadership & International Rollouts: Led end-to-end AI product lifecycle for Robot Cashier Agentic System, serving transactions with >96% accuracy; delivered international rollouts for Pingo Doce (Portugal) and Elior (Italy), contributing to 5× company valuation growth.
MLOps & Production ML Pipelines: Built production-grade pipelines on Azure & GCP, including automated data labeling, CI/CD, monitoring, reducing deployment costs by 50%.
Advanced AI Architectures: Designed and deployed RAG + VLM + agents, integrating vector DBs (PostgreSQL + pgvector) and fraud detection agents; implemented PyTorch CV & GenAI models with LoRA fine-tuning (QWEN2.5), transformers, PEFT, TRL, LangChain, OpenAI api, n8n.
Team & Governance: Managed and scaled a team of 6 ML engineers & data scientists, establishing AI governance, org design, and cross-functional delivery processes.
Recognition: Station F resident, named Top AI-Powered Retail Solutions Company in Europe 2023

Team ManagementScrumAI Product LeadershipMLOpsAdvanced AI ArchitecturesAI Strategy

Smart meal service

Deep Learning Team Lead / Co-founder

Jun 2020 – Jun 2023 · 3 yrs · Moscow City, Russia · Hybrid

Led the development and scaling of CV/ML products from prototype to production, including a robot cashier (0.94 accuracy) and smart vending machine (0.98 accuracy) serving over 1M users.
CV Product Development: Led development of robot cashier (0.94 accuracy) and smart vending machine (0.98 accuracy) serving 1M+ users, scaling CV/ML products from prototype to production.
Advanced Model Engineering: Built CNN-based architectures (YOLO, EfficientNet, U-Net++) for real-time food recognition; delivered meat quality assessment CV system (mIoU 0.98).
MLOps & Deployment: Implemented end-to-end MLOps workflows to accelerate deployment, ensure reliability, and reduce errors.
Team Leadership & Stakeholder Communication: Led a cross–functional team of 6-8 members, coordinated field tests, demos, and board-level reporting.
Recognition: Resident at Skolkovo Innovation Center; Eurasian Development Bank award the best anti-COVID technology

Team ManagementAI StrategyCV Product DevelopmentMLOpsComputer Vision

Publicis groupe

Machine Learning Engineer

Dec 2019 – Jun 2020 · 6 mos · Moscow, Russia · Hybrid

Machine Learning Engineer in the advanced analytics department. Developed a recommendation system for an online marketplace and an eye-tracking system based on webcam data and deep learning algorithms.

PyTorchComputer VisionMachine Learning