Freelancer profile translated to English.

Description

Founder of AkorBIT — Enterprise AI Platform for Data Valorization and Exploitation

I design and develop AkorBIT, a comprehensive AI platform that allows companies to centralize, query, and automate the exploitation of their business data through conversational interfaces and advanced AI services.

AkorBIT enables organizations to:

• Centralize and govern their internal data (documents, business databases, CRM, ERP)

• Deploy secure AI assistant spaces based on internal knowledge (RAG)

• Offer a ChatGPT-like experience tailored to professional constraints and uses

• Automate business processes through AI workflows and intelligent services

Target Audience:

• SMEs & Mid-sized companies undergoing digital transformation

• Business teams (sales, finance, HR, support)

• B2B Data & AI-oriented startups

• Organizations seeking to industrialize AI concretely and profitably

Mission: Transform internal data into a lever for productivity, decision-making, and sustainable growth.

Email:

Web:

Languages

French
Native or bilingual
English
Fluent
Spanish
Native or bilingual

Workplace preferences

Can work on-site

Nantes (up to 50km), Nantes (up to 80km), Angers (up to 100km), Paris (up to 100km), Le Mans (up to 100km)

Akora pro
Lead Developer — AKORBIT
TECH
January 2023 - Today (3 years and 7 months)
Nantes, France
Design and development of AKORBIT, an artificial intelligence platform for businesses, enabling the exploitation of their internal data, facilitating access through AI search, and orchestrating intelligent agents and automated workflows to improve operational and decision-making performance.

The platform is aimed at organizations wishing to centralize knowledge, streamline access to information, and automate high-value actions, while maintaining control over their data.

Key Expertise Areas and Contributions:

•Internal AI Research & Semantic Search: Design of intelligent search engines for querying business data, documentary databases, and unstructured content in natural language.

•Data Exploitation and Valorization: Ingestion, structuring, indexing, and enrichment of corporate data to ensure the relevance, reliability, and traceability of responses.

•AI Agents & Generative AI: Development of intelligent agents capable of analyzing data, producing summaries, recommendations, and decision support tailored to business needs.

•Automation & Intelligent Workflows: Implementation of automated scenarios triggered by events, queries, or AI results to optimize internal processes.

•Data & AI Architecture: Design of architectures combining relational databases, search engines, and vector databases, focused on performance, security, and scalability.

•Governance, Security, and Confidentiality: Integration of data access issues, rights segmentation, and result reliability in a B2B context.

•Product Vision & B2B SaaS: Definition of use cases (internal search, knowledge management, support, CRM, marketing, reporting), product roadmap, and alignment with business needs.
Big Data Data Architect AI LLM Expert RAG Design
Systeme U ugieiris
Expert Data Engineer (CLOUD Google GCP)
RETAIL (SMALL BUSINESS)
June 2022 - Today (4 years and 1 month)
Nantes, France
- Management and centralization of analysis data on BigQuery in Google Cloud.
- Implementation of data transfer from SID to warehouse
- Execution of various SQL scripts
- Scheduling of scripts for data updates
BigQuery Google Cloud SQL REST API
Banque populaire BPCE
Senior Data Engineer
BANKING AND INSURANCE
September 2021 - June 2022 (10 months)
Nantes, France
Data engineer for customer data integration and transformation. Agile methodology, 2-week sprints. Use of Scala for JSON file integration. Responsible for product evolution and orchestration with VTOM. Use of Groovy, Jenkins pipelines, tuning with Spark.
Technologies used: Devops (Scala, Python, Bash, Shell), Databases (Neo4j, HiveSql, MongoDB), Log management with ELK and Kafka.
Spark Python