Freelancer profile translated to English.

Description

With a PhD in Artificial Intelligence and extensive programming experience, I work on high-value technical projects, both in corporate settings and training. My background combines software development, advanced AI modeling, and educational supervision.

I possess deep expertise in computer vision, natural language processing, deep learning, and data engineering. I have designed and deployed complex systems in demanding environments, from public research to deep-tech startups. I code daily, optimize models, build robust APIs, and structure data pipelines to address concrete needs.

In parallel, I train students and professionals in these tools and methodologies. My goal is twofold: to impart solid skills and to develop profiles capable of producing in real-world conditions. I manage projects, lead hackathons, design custom modules, and serve on certification juries.

I offer specialized knowledge, strong adaptability, and a rigorous, results-oriented approach. If you are looking for a profile that can produce, teach, and support, I am ready to discuss it.

Languages

French
Native or bilingual
English
Fluent
Spanish
Basic
Tamil
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Noolya
Senior AI & GenAI Consultant
BANKING AND INSURANCE
January 2024 - Today (2 years and 5 months)
Paris, France
I support organizations throughout the entire lifecycle of AI and Generative AI projects: use case identification, business scoping, PoC realization, LLM/agent architecture, industrialization, production deployment, governance, and business adoption.

▸ AI Scoping & Strategy: maturity assessment, use case prioritization, business workshop facilitation, AI roadmaps, and recommendations to CIOs, business leaders, CEOs, and executive committees.

▸ GenAI & AI Agent Architecture: design of LLM, RAG, AI agent, and multimodal pipelines; model benchmarking, technology selection, security, performance, cost, sovereignty, and scalability scoping.

▸ PoC & Industrialization: AI prototype development, data/AI pipeline structuring, PoC to production transition, API integration, MLOps, monitoring, usage governance, and deployment support.

▸ Sectoral Missions: automation of medical certificate analysis in insurance, multi-source customer review analysis in banking, multimodal AI agent for advertising compliance for legal teams, Computer Vision and forecasting in the automotive industry, marketing AI agents for retail.

▸ Measured Impacts: up to 2,000 documents processed/day, 90% reduction in support workload, 300 advertisements analyzed/day, 40% workload reduction for legal teams, 40% observed reduction in accidents, and anticipation of 90% of activity peaks.

▸ Due Diligence & Adoption: AI/deep learning technology audits, maturity assessment, model robustness, technical debt, scaling risks, risk scoring, change management, training, AI champions network, and usage governance.
LLM BI Strategy AI and Advanced Analytics
ŌBERON SCIENCES
Research Engineer in Artificial Intelligence
September 2021 - April 2026 (4 years and 7 months)
Grenoble, France
▸ Conducted a CIFRE thesis in AI applied to the automatic recognition of 17 allergenic pollen species by Deep Learning: segmentation, classification, real-time detection, and microscopic image analysis.

▸ Designed and developed an end-to-end AI pipeline combining Computer Vision, Deep Learning, and Data Engineering, transitioning from a traditional 14-day analysis period to automated real-time processing.

▸ Developed segmentation and classification models for automatic pollen identification: dataset creation, annotation, training, evaluation, optimization, and deployment of models in an application environment.

▸ Industrialized a real-time processing chain integrated into an environmental monitoring solution: image ingestion, preprocessing, AI inference, quality control, and result delivery via API/application.

▸ Contributed to the creation of France Pollens, a national pollen data dissemination platform, in partnership with RNSA, including an API, application, and operational use of environmental data.

▸ Scientific and technical valorization of work: publications, outreach to institutional partners, and contribution to the winning project of the Convergence Challenges — France AI Summit 2025 / France 2030.
Unlock Formation
Referent AI Consultant
TECH
August 2023 - Today (2 years and 10 months)
Paris, France
▸ Trained over 500 professionals and delivered over 1,200 hours of training in Generative AI, Data, Machine Learning, Deep Learning, automation, no-code, LLMs, and AI agents — 95% satisfaction rate.
▸ Deployed AI adoption strategies for business units, general management, and executive committees: use case identification, internal champions network, coaching, usage governance, RACI, and adoption piloting.
▸ Referent AI/Data Professor and pedagogical manager for RNCP Level 5 and 7 titles, notably at HETIC: program design, pedagogical engineering, coordination of trainer teams, and executive training delivery.
▸ Designed and delivered 20+ modules in Data & Development: Machine Learning, Deep Learning, Data Analysis, APIs, Big Data, Data Engineering, automation, Generative AI, and application development.
▸ Supervised 30+ student and professional projects on business challenges: AI hackathons, training models on medical images, customer satisfaction dashboards, instant translation application in a medical context, API crash simulation.
▸ Author and trainer for the Green AI MOOCs with Aivancity × France 2030 and Enterprising with AI with QVEMA Amplify / Who Wants to Be a Millionaire? — AI acculturation content produced and widely distributed.
▸ Participated in RNCP validation juries in Artificial Intelligence, Data, and technical project development.
Python Deep Learning LLM