I started out in Physics, thinking my math skills would be enough to land top AI jobs. Turns out, I was wrong. Knowing the theory is one thing, but what really matters? Getting AI into production.
Once I figured that out, everything changed. Over the past six years, I’ve worked as an ML Engineer across startups and multinationals, building and deploying AI systems that actually make an impact. From MLE and MLOps to Generative AI, I’ve seen firsthand what it takes to move models from research to reality.
Along the way, I realized I love teaching just as much as building. That’s why I created The Neural Maze—a hub where I break down complex ML topics into real, hands-on projects. Through articles, videos, and courses, I help engineers go beyond tutorials and start building for the real world.
I don’t just build models—I make them work in the real world. I design and deploy AI systems that are scalable, efficient, and drive real impact.
I ensure AI models don’t just stay in research. From automating ML pipelines to optimizing deployments, I make production AI seamless and reliable.
I work with LLMs and cutting-edge AI to build real applications—whether it’s recommender systems, AI-powered automation, or innovative tools.
I love teaching as much as building. Through The Neural Maze, I create hands-on content that helps engineers go beyond theory and build real-world AI projects.
