Nicolas Gripont

- Promoted manager of the Montreal AI team, overseeing 9 developers. - Contribute to quarterly AI roadmap definition and lead sprint planning, while remaining hands-on with development. - Designed the hiring process and recruited 4 new AI developers (Intermediate and Senior levels). - Lead initiatives to integrate agentic AI across Hootsuite, promoting AI adoption across the CTO organization and product lines. - Developed internal AI infrastructure, including LLM Proxy and Prompt Execution Service, enabling seamless access to large language models and LLM providers (OpenAI, Azure and Google Vertex AI). - Developed an SSE streaming API to connect Hootsuite Copilot/Assistant with our Luxembourg-based agentic engine, enabling access to analytics data via an MCP server, including an evaluation framework using MLflow. - Led the development of Smart Replies for Inbox and enhanced the Generative AI Agent, improving client self-service through social network integrations. - Delivered Post Analysis and Insights features including media (images and video) analysis to enhance data-driven engagement. - Lead the AI Guild, fostering collaboration across teams on AI feature development, knowledge sharing and AI tooling usage (Cursor, CLI tool like Codex, gemini CLI, Claude Code CLI) - Continue to drive innovation and operational excellence in applied AI initiatives.

Continuity of my previous responsibilities until March 2024. Since March I have a double role: Team Lead AI & AI and Back-End Manager (Interim Manager, Software Developer) - Leading AI and Back-End teams, overseeing sprint planning, coaching, and providing continuous feedback. - Participating in the hiring process and assisting the product team with roadmap definition. Developing integrations with Hootsuite using Golang, Python, Terraform, Docker, and Kubernetes. - Developed a Generative FAQ Chatbot using LLM (OpenAI/Azure), integrated into Hootsuite inbox as a self-serve product. - Created AI Insight and recommandations using LLM (OpenAI/Azure) Maintaining Heyday products (scripted retail chatbot and inbox) until deprecation

Continuity of my previous experience as Lead, Software developper at Heyday by Hootsuite

Promoted from a Developer to Team Lead, Back-End Developer, growing the from 4 to 11developers. Heyday was acquired by Hootsuite in July 2021, becoming Heyday by Hootsuite. - Led sprint planning, coaching, and provided continuous feedback to team members. - Participating in the hiring process and assisting the product team with roadmap definition. Developed backend solutions using NodeJS and AWS services (Lambda, API Gateway, DynamoDB, S3, CloudWatch, SQS, IAM, Secret Manager) - Focused on retail chatbot backend development, supporting platforms like Facebook, Instagram, WhatsApp, and Google Business Messaging. - Integrated with external APIs (Shopify, Magento, Prestashop, Aftership, Algolia, Google My Business) to design and develop various scripted and generic flows inside the chatbot (product search and recommandation, order/shipment tracking, store locator, etc.) - Integrating with AI features developed by the Heyday AI team - Transitioned from an enterprise setup to a self-serve SaaS product, refactoring services to an API-first/micro-services approach. Conducted code reviews, API design, and developed internal admin dashboards. Devops: - Transitioned from Gitflow to trunk-based development with auto-tagging and feature flags to enhance continuous deployment. - Implemented CI/CD pipelines using GitLab CI, streamlining and improving the development process. - Migrated deployment stack from Claudia framework to Serverless with CloudFormation, optimizing deployment efficiency.

Transitioned from intern to full-time developer: internship from January to May and then full-time developer. Developing custom scripted chatbot back-end for retail clients using NodeJS, AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch). - Integrated APIs like Shopify to enhance chatbot functionality with product search features. - Implemented a notification system for product restock and price drop alerts. - Developed a generic training module using WIT.ai to detect user intents.

Professional master's degree in computer science (and software) at Polytechnique Montréal. Courses: Software architecture and advanced design, IT security, Fixed and mobile network security, Design of dynamic and transactional websites, Mobile computing, Software quality engineering, Parallel computing systems, Patterns for program understanding, Artificial intelligence: methods and algorithms Côte : 3.83/4.0

Computer engineering degree from INSA Lyon, equivalent to the baccalaureate diploma from Polytechnique Montréal.

Provision of service as a micro-entrepreneur for the Lyon startup Eyesnap alongside classes. Developed software for massive photo recovery on social networks with object detection. Created backend solutions using NodeJS and Python (Scrapy). Built a frontend interface in AngularJS2 to automate data collection and visualize results.

Developed a mobile application for IOS and Android using C#/Xamarin to aid notaries.

Developed backend and frontend for a project management/monitoring portal and an iOS application within an Agile framework.

Developed HMI/GUI for communication with systems embedded on electronic cards. Created configurable software for monitoring various electronic cards and sensors, allowing customization of designations and recorded metrics.

Professional master's degree in computer science (and software) at Polytechnique Montréal. Courses: Software architecture and advanced design, IT security, Fixed and mobile network security, Design of dynamic and transactional websites, Mobile computing, Software quality engineering, Parallel computing systems, Patterns for program understanding, Artificial intelligence: methods and algorithms

Computer engineering degree from INSA Lyon, equivalent to the baccalaureate diploma from Polytechnique Montréal.