I am an AI and solution engineer with experience in implementation consulting, solution architecture, pre-sales engineering, software quality assurance, and technical support. I translate complex business and operational requirements into scalable technical solutions.
I currently work as an Implementation Consultant at Stripe in Dublin, where I lead technical discovery and guide customers through the implementation and adoption of payment technology. I coordinate business and technical stakeholders to develop effective implementation strategies.
Previously, I worked as a Solution Engineer at Salesforce, designing AI-driven solution architectures, product demonstrations, and agentic workflow prototypes for strategic customers. I enjoy connecting business pain points with practical technical use cases and communicating solution value to stakeholders.
My technical background includes Python, Java, TypeScript, JavaScript, Node.js, machine learning, NLP, APIs, cloud platforms, CI/CD, test automation, and infrastructure support. I have built sentiment-analysis prototypes, automated software testing processes, and supported production SaaS environments.
I am a native French speaker with C1 English proficiency. Beyond my technical work, I have led music teams and volunteer initiatives, developing leadership, communication, active listening, crisis management, and community-building skills.
I lead technical discovery engagements to understand complex customer operational requirements and translate them into scalable implementation strategies and solution designs.
I guide customers through the implementation and adoption of Stripe technology while coordinating business and technical stakeholders across payment, fintech, and professional-services engagements.
I designed and delivered AI-driven solution architectures, product demonstrations, and agentic workflow prototypes for strategic customers.
I translated customer business pain points into technical use cases, presented solutions to stakeholders, and contributed to a multimillion-dollar sales pipeline.
I built a Python-based sentiment-analysis prototype to classify airline customer reviews as positive or negative using natural language processing and machine learning.
I also conducted research on NLP text-classification methods and their applications to sentiment analysis.
I automated smoke testing using Java and Selenium, reducing validation time by 80% and enabling more frequent testing cycles.
I improved Jenkins CI/CD pipeline stability and deployment success rates for production environments.
I resolved more than 100 complex technical issues involving APIs, infrastructure, KYC, and e-signature services.
I partnered with product and engineering teams to maintain high production availability while managing incidents and software bugs.
I managed a 15-person team to organize and produce more than 10 public events, each attended by over 100 people.
I raised more than €2,000 through crowdfunding and marketing efforts and grew an online community to 9.1K Instagram and TikTok followers.
I handled more than 20 confidential helpline calls to support students experiencing distress.
This volunteer work strengthened my active listening, empathetic communication, and crisis-management skills.
Master of Engineering, Computer Science, Minor in Big Data
Master of Engineering in Computer Science with a minor in Big Data.
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