Why did you decide to become a mentor?
Throughout my career, I realized that technical knowledge alone is rarely what determines success. Many talented people struggle not because they lack intelligence or skills, but because they lack clarity, confidence, direction, or access to the right guidance at the right moment. Mentoring became a natural extension of what I was already doing in my daily work: helping people navigate complexity. Whether someone is trying to break into AI, transition careers, prepare for interviews, build a portfolio, or understand advanced technical concepts, I enjoy helping them identify the shortest path between where they are and where they want to be. What I enjoy most is seeing transformation happen in real time. A single conversation can sometimes remove months of uncertainty. Mentoring allows me to multiply my impact beyond my own projects and contribute directly to someone else's growth and success.
How did you get your career start?
My career started with a strong interest in mathematics, engineering, and problem-solving. I pursued an engineering degree and gradually specialized in data science and artificial intelligence. What attracted me to AI was the combination of theory, technology, and real-world impact. Over time, I worked on increasingly complex projects involving machine learning, data analysis, and research. This eventually led me to a doctoral research position focused on geometric deep learning and cryo-electron microscopy, where I work at the intersection of artificial intelligence and scientific discovery. Looking back, my journey was not perfectly linear. I learned that curiosity, persistence, and continuous learning matter more than having a predefined plan. Every project, challenge, and opportunity contributed to building the expertise and perspective I now bring to mentoring.
What do mentees usually come to you for?
Most mentees come to me for one of three reasons: breaking into AI and data science, accelerating their professional growth, or gaining clarity on major career decisions. My mentoring style is highly personalized. Rather than following a generic curriculum, I start by understanding each person's goals, strengths, constraints, and current situation. Together, we create a practical roadmap with measurable milestones. Depending on the mentee, our work may involve technical coaching, project reviews, interview preparation, portfolio building, research guidance, networking strategies, or career positioning. I also spend time helping people develop confidence and learn how to communicate their expertise effectively. My objective is not simply to answer questions but to help mentees become more autonomous, strategic, and confident in navigating their own careers.
What's been your favourite mentorship success story so far?
One of my favorite mentoring experiences involved helping a mentee who felt overwhelmed by the transition into data and AI. They had strong motivation but struggled to organize their learning journey and translate theoretical knowledge into practical results. Together, we broke the process into smaller, achievable steps. We focused on strengthening technical foundations, building meaningful projects, improving communication skills, and creating a clear professional narrative. Over time, their confidence grew significantly. What was most rewarding was not a specific job offer or achievement, but seeing the shift in mindset. They moved from constantly questioning whether they were capable to actively solving problems and taking ownership of their development. Moments like that remind me why mentoring matters. The biggest transformation is often not technical; it is helping someone recognize their own potential and act on it.
What are you getting out of being a mentor?
Mentoring continuously improves my own skills as a researcher, consultant, and communicator. Every mentee brings a different background, challenge, and perspective, which pushes me to think more clearly and explain complex ideas more effectively. It has also strengthened my leadership abilities. Mentoring requires active listening, empathy, adaptability, and the ability to guide without imposing solutions. These are valuable skills in research, consulting, and any collaborative environment. Perhaps most importantly, mentoring keeps me connected to what matters most: helping people grow. Watching someone gain confidence, achieve a goal, or unlock a new opportunity is incredibly rewarding. It reminds me that expertise has its greatest value when it is shared. For me, mentoring is not only about teaching. It is an ongoing process of learning, growth, and meaningful human connection.
