The 21st century has ushered in the era of Generative AI, redefining what it means to be an engineer. Today, engineering is no longer just about writing code, not anymore. It’s about creating systems that work seamlessly, delivering tangible results. Leaders who can transform chaos into structured, scalable solutions are rare. One such individual is Daniel Kravets, a technical leader and architect of groundbreaking AI products. His work on the Vendict platform, which secured a $10 million Series A round, exemplifies how technical expertise and leadership can reshape an industry. In this interview, Daniel shares his journey, his approach to technical leadership, and his vision for the engineer’s role in the near future.
Daniel, what does it mean to be a leader in technology?
Daniel Kravets: For me, leadership in technology is about creating an environment where people and processes function as a cohesive system. In my opinion, true leaders build the system where every team member aligns with the company’s core goals, values, and priorities, and where decisions are made consciously, with accountability at every level.
How has your understanding of technical leadership evolved over time?
Daniel Kravets: From my university days, I always gravitated toward the hardest problems – the ones marked with an asterisk. That mindset set me on the path of innovation. One of the last turning points came when I joined Vendict. It was a challenge: a new country, a new company, and everything starting from scratch. For the first time, I had the opportunity to combine the knowledge I gained from working in large corporations, with their processes, documentation, and formalized workflows, with the freedom to build something entirely my own way. Before Vendict, I was learning and absorbing best practices in structured environments, but here, I had to create those processes myself. No one was there to tell me how to do it – it was all on me.
This aligns closely with the concept of “Skin in the Game” by Nassim Taleb. The core idea is simple yet profound: you have the right to give advice, make decisions, or reap rewards only if you bear real risks for your actions. What you put on the line, your reputation, money, time, or safety, is your “skin in the game.” It’s an ethic of responsibility. If you want to influence, earn, lead, or advise, you must be ready to share the consequences. This principle makes systems fair and also makes people reliable.
For me, this philosophy became a cornerstone of my journey at Vendict. Taking responsibility for building something from scratch was a personal commitment, and only after a professional challenge.
What lessons from your early projects have shaped your approach to leading more complex initiatives?
Daniel Kravets: My journey in software development began in 2011, giving me over a decade of experience in top-tier companies and exposure to numerous impactful projects. Even when I’m saying “Vendict from scratch”, I understand I already had a wealth of expertise behind me. Many of these projects were not only significant for the market but also personally transformative.
For example, in 2022, I launched the AT Player audio segmentation system. At the time, users could only listen to podcasts in full, manually skipping speech segments to enjoy the music. I identified the problem and took full responsibility for the solution. I sourced the data, designed the neural network architecture, and trained it from scratch. The result? Thousands of podcasts were processed daily, increasing user engagement and app ratings. This project was my first experience of how engineering can be a form of leadership, shaping the product through technical responsibility.
It taught me the importance of understanding user needs, balancing quality with speed, and taking ownership of the entire process from idea to implementation.
When I moved on to Vendict, I applied these lessons to much larger challenges. For example, during the development of the TPRM and AI GRC Mentor projects, I faced decisions that directly impacted the product’s reliability and scalability. These initiatives required me to design infrastructure capable of handling large volumes of data while balancing real-time operations with batch processing. It was a step up in complexity, but the principles I learned before were invaluable in navigating these challenges and building reliable processes. Even in early stage startups. Especially in early stage startups.
How do you establish processes when there’s lack of documentation, and everything relies on trust?
Daniel Kravets: In a startup environment, I’ve learned that documentation alone doesn’t create sustainable systems. While it’s tempting to rely on detailed processes, startups thrive on adaptability and speed. At the same time, operating without any documentation at all is unsustainable in the long run. The key is to strike a balance by fostering a culture of meta-level thinking within the team.
This means creating an environment where every team member understands the goals, priorities, and the direction we’re heading. When people are aligned on the bigger picture, they can make informed decisions and adapt to changing circumstances without needing rigid instructions.
For example, during the early stages of Vendict’s Third-Party Risk Management and Mentor projects, I focused on building scalable frameworks and aligning teams around shared priorities.
Managing engineers, I focus on bringing in people I can trust to make sound decisions. Rather than burdening the team with excessive documentation, I prioritize fostering open communication and a clear sense of purpose. This approach enables us to break down complex goals into actionable short-term steps and leverage cutting-edge technologies.
In the end, minimal documentation succeeds when teams are empowered to think independently, set the right priorities, and collaborate with trust. It’s less about detailing every step and more about cultivating a shared vision of our goals and the path to achieve them.
What qualities do you value in an engineer?
Daniel Kravets: I value curiosity and sense of ownership. These traits drive innovation and push engineers to go beyond routine tasks. I also believe in “technical trust”, the confidence that when someone takes on a task, it will be executed thoughtfully and responsibly. This mutual reliability reduces friction and accelerates progress without sacrificing quality.
What inspires you to keep learning and experimenting?
Daniel Kravets: I’m motivated by the desire to solve real problems. When I see a new challenge, it energizes me. I also believe that AI is the key to our future. It’s already transforming how we work, and I’m inspired by the idea of creating systems that extend human thinking while maintaining accountability and transparency.
What are your current goals, and if you were to start your own venture, what would it focus on?
Daniel Kravets: My current goal is straightforward: to build innovative, reliable, and ethical AI-native development solutions. If I were to start my own venture, it would focus on creating AI-driven tools that empower developers, solve real-world problems. Something to combine human judgment with machine thinking, providing actionable insights while respecting user autonomy.
Can you tell us more about that?
Daniel Kravets: Absolutely. I believe that the next frontier in technology lies in understanding how humans and AI can work together more effectively. This is about creating systems where human judgment and machine intelligence complement each other. Right now, I’m actively working on open-source projects, educational materials, and even organizing competitions for talented engineers and students who want to approach problem-solving in new ways.
What advice would you give to young engineers who want to become leaders in innovation?
Daniel Kravets: Be proactive. Take on more responsibility than expected, and you’ll be noticed. Develop systems thinking, understand the product and its users, and focus on the broader impact of your work. Combine technical skills with curiosity and a willingness to learn from both successes and failures. Every project is an opportunity to grow as a thinker and a leader.
In today’s world, mastering AI systems is essential. Understanding how to design, implement, and leverage AI equips you to drive innovation in any field.
Thank you Daniel for sharing your experience and your thoughts on technical leadership!
Daniel Kravets’ journey illustrates that true leadership in technology is built on vision, accountability, and the courage to take risks. By embracing the uncertainty of a startup and putting his own “skin in the game,” Daniel has driven Vendict’s growth and strengthened Vendict’s technical foundation in ways that supported the company’s successful funding rounds. His story is a testament to the idea that innovation thrives when leaders are willing to bear the consequences of their choices. It’s a reminder that the future of technology belongs to those who lead with both responsibility and conviction, even when the path ahead is uncharted.