Franck Binard
Senior Consultant - Ai Division (Omnia) @Deloitte
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WORK HISTORY
Senior Consultant - Ai Division (Omnia) @Deloitte
2024–2026: Designed and implemented 4 GenAI + RAG solutions (Python, Streamlit, LangChain, Azure AI, typescript, express) to- recommend incident response strategies, based on ingested playbooks - analyse cyber-events in real time, using crawled web information as source- analyse enterprise systems for vulnerabilities, and provide recommendation based on ingested (RAG) security litterature using models such as OpenAI, Grok, Cohere and Gemini. Design and implementation of agentic AI system, orchestration agent, and tools implementation and leveraging, in the cybersecurity space.Designed and implemented citation system to augment chunks to contain hallucinationsDeveloped a RAG pipeline (Flask API, Node.js scraper, Azure AI Search) integrating LLMs, Bing API, and Puppeteer to contextualize global cyber events. Enabled internal systems to query enriched threat intelligence.Financial Document Processing (2024): Built full-stack Node.js/Express system on GCP to parse CSV, ISO20022 XML, and invoices (Azure Document Intelligence). Integrated GPT for address normalization with SQL back-end validation workflows.Enterprise Conversational AI (2023–2024): Delivered voice stack for genAI-powered chatbot solutions for clients including Manulife and 1-800-Got-Junk using Azure Bot Framework, Node.js/TypeScript, and Python. Integrated telephony services (AudioCodes) to RAG solutionsInsurance Conversational AI (2023): Architected containerized microservices (Docker, Kubernetes, GCP) supporting Dialogflow customer service. Built SQL back-end with Node.js middleware and secure authentication.Government Asset Management (2023): Implemented SharePoint document system with Power Automate ingestion and Power Apps approval workflows.Salesforce–Dialogflow Integration (2023): Built customer support bot (Node.js, GCP) enabling bi-directional updates between Salesforce and Dialogflow.Desjardins Bank Conversational AI (2022)- Dialogflow - typescript webooks, database work
EDUCATION
University of Ottawa
PhD, Machine Learning, Genetic Programming
University of Ottawa
Masters, Computer Science
University of Ottawa
B. Sc., Mathematics
University of Ottawa
Bsc, Computer Science
ABOUT FRANCK BINARD
Senior Software Engineer at Deloitte AI, Franck Binard designs and implements multi-component, cloud-based AI systems—often centered around RAG (Retrieval-Augmented Generation) architectures. His work bridges large-scale data ingestion, vector search, LLM integration, and user-facing interaction, typically deployed on Azure or GCP.Franck specializes in GenAI solutions that scrape, analyze, and augment web data. Many projects involve OCR (e.g, with Tesseract), Puppeteer-based crawlers, Cosmos DB, and Azure AI Search. He has also delivered systems that integrate telephony components (including audiocodes), document intelligence, and conversational AI using Dialogflow and custom webhooks.Outside of AI, Franck has led or contributed to:Power Platform & SharePoint-based automation systems for provincial and municipal governmentsVBA/Windows-based automation projectsBilingual conversation agents with DevOps pipelines on GCPOver 15 client-facing projects in sectors like banking, FinTech, and cybersecurityHe’s a full-stack developer at heart, with strong roots in TypeScript, Python, and functional programming—and a growing passion for finance, taxation, and investing.Franck holds a PhD in Computer Science with a focus on genetic programming, and a Master’s in theoretical CS (proof-carrying code). He has taught over 10 courses at the university level, is ranked “Legendary” in JavaScript on CodinGame, and has a deep love for mathematical logic, the game of Go, and licorice.
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