At GitGuardian, I specialize in sales operations and automation, creating tools that make our GTM teams more efficient and data-driven.
My work involves identifying operational bottlenecks and building practical, AI-enhanced solutions to solve them. I bridge the gap between technical implementation and business strategy.
Currently completing a Master in Management at NEOMA Business School.
GitGuardian: A Hybrid Role in Operations, Strategy & Product
While my official role is in business development, my function has evolved to cover several critical areas:
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Sales Automation & Operations: My core focus. I develop internal tools and AI agents that streamline workflows. Key achievement: Built an automation that reduced a critical data processing task for the sales team from several hours to under five minutes. Developed a suite of AI agents to score deal health (MEDDPICC framework) and identify at-risk renewals for CSMs.
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Data Analysis & GTM Strategy: I handle strategic data projects to guide our go-to-market efforts. Most notably, I led the data analysis for a major industry event processing and enriching the 879-attendee list to create a prioritized targeting strategy that saved the team dozens of hours of manual work.
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Team Enablement: Providing hands-on coaching for finding valuable data, using our internal tools, and understanding the technical nuances of our product.
A collection of personal work where I build practical solutions to real-world problems.
Manual creation of complex LinkedIn search queries is slow and error-prone. I built LinkForge as a full-stack web application to solve this.
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Functionality: The tool uses a React/Vite front-end and Netlify Functions on the back-end. Users can input a list of company names, and the application instantly generates validated, bulk Sales Navigator URLs, dramatically speeding up prospecting and account mapping workflows.
A custom-built chat application designed to experiment with how specialized AI agents can interact within a single interface. The project explores multi-agent collaboration, testing how different AI personas with unique toolsets can work together to assist a user.
An AI-powered web application that acts as a personal fitness coach. This project was a deep dive into building a system that can analyze user input to generate personalized, structured plans and provide data-driven feedback.
- AI & Automation: Gemini API, Deepseek, LangChain, Prompt Engineering, Multi-Agent System Design, n8n.io, Dust.tt
- Full-Stack Development: React, Node.js, Vite, Tailwind CSS, Framer Motion
- Backend & Cloud Architecture: Serverless Functions (Netlify), Supabase (PostgreSQL, Auth, Storage), REST APIs, CI/CD
- Data & Business Ops: Snowflake (SQL), HubSpot, Gong, Apollo
- Web Performance & SEO: Edge Functions, Static Site Generation (SSG), Custom Caching Layers, Core Web Vitals Optimization
- Security: Application Security Concepts, Secrets Detection & Management
My approach is hands-on and problem-focused. I believe the best way to understand a technology's value is to build with it. My goal is to create practical, efficient tools that solve a specific challenge, whether it's streamlining a sales workflow or creating a more effective user experience.