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Schedule Interview NowMy name is Roland L. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Ruby on Rails, Zapier, Database, AI Bot, AI Chatbot, etc.. I hold a degree in Master of Industrial Design. Some of the notable projects I’ve worked on include: Qualify & Reach Out to B2B Leads with Groq AI, Apollo, Gmail & Sheets, Custom Sales Emails with LinkedIn Data & Claude 3.7 via OpenRouter, AI RAG Agent & self hosted vectors install, Podcast creation on autopilot - n8n, n8n - lead classifier to CRM agent, etc.. I am based in Lyon, France. I've successfully completed 8 projects while developing at Softaims.
I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.
My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.
My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.
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Criteo
This workflow captures new lead information from a web form, enriches it with Apollo.io data, qualifies the lead using AI, and—if the lead is strong—automatically sends a personalized outreach email via Gmail and logs the result in Google Sheets.
The automation loads rows from a Google Sheet of leads that you want to contact. It makes a Google search via Apify for LinkedIn links based on the First name / Last name / Company. Another Apify actor fetches the right LinkedIn profile based on the first profile which is retuned The same process is done for the company that the lead works for, giving extra context. If the lead has a current company listed on their LinkedIn, we use that URL to do the lookup, rather than doing a separate Google search. (contact for more details)
Setting up docker and postgreSQL to add RAG to an agent
Creating a flow designed to create podcast on autopilot.
Creating a chatbot that can collect leads, classify them and save them in the CRM
Master of Industrial Design in Applied Mechanical design and math simulations
2017-01-01-2020-01-01