Piotr Niedźwiedź is the visionary Founder and CEO of Neptune AI, a Polish MLOps company transforming how ML teams track, compare, and manage experiments. Driven by a lifelong passion for math, coding, and problem-solving, he progressed from top tech internships to co-founding successful engineering ventures. His dedication to streamlining chaotic ML workflows led him to create Neptune, now a globally trusted MLOps powerhouse.
Piotr’s tech journey started at the age of seven, when writing code was considered to be more fun than work. His thirst for knowledge and the competitive spirit that he developed during algorithm competitions in high school granted him a spot in Poland's top Mathematics and Computer Science programs at the University of Warsaw. He was surrounded by logic, numbers, and technology, and slowly but surely he built the foundations that would eventually support his foray into machine learning innovation.
Piotr’s early career took him to Google and Facebook, where his engineering work shipped to real production systems was an empowering milestone. Instead of joining Silicon Valley full-time, he followed his entrepreneurial instinct and co-founded CodiLime, then deepsense.ai. As CTO, he led cutting-edge ML projects. Discovering the chaos of ML experimentation, he set out to fix it, ultimately creating Neptune Labs.
Neptune streamlines foundation model training with real-time experiment tracking, fast debugging, and collaborative tools, enabling teams to build transparent, scalable, and high-performance machine learning workflows efficiently.
Neptune. ai Walkthrough: Simplifies foundation model training at scale with seamless experiment tracking, real-time monitoring, fast debugging, and team collaboration, empowering researchers to build reliable, transparent, high-performing ML workflows efficiently.
Model Training: Offers real-time visibility into activations, gradients, and weight norms, streamlining experiment evaluation, instant debugging, and report sharing, enabling fast, transparent, and reliable foundation model training workflows.
Model Deployments: Allows company-wide or research adoption of cloud SaaS or self-hosted model training for foundation models with real-time monitoring, easy debugging, and secure, scalable ML workflows which are flexible for enterprise or research use.
Experiment Tracking: Transforms foundation model development with active dashboards, tailor-made visualizations, and smooth run tracking thereby permitting organizations to oversee experiments, thwart comparison results, and resolve problems quickly for workflow that is productive, transparent, and flexible.
GPT-scale Training Workflow: Maximizes the AI training process of GPT-scale by monitoring metrics, debugging neural layers, and comparing runs, accompanied by secure self-hosting leading to quicker troubleshooting, improved visibility, and dependable large-scale workflows for ML teams.
Intelligent ML Tracking: Nurtures the development of AI with uninterrupted experiment tracking, clever model versioning, and up-to-the-minute visibility in training, putting the whole process in one center, improving teamwork, and speeding up the research cycle for AI systems that are scalable, reproducible, and ready-to-deploy.
Piotr turned Neptune Labs into a globally recognized leader in MLOps, helping ML teams work with the same clarity and confidence as top software engineers. He previously scaled CodiLime into a respected IT powerhouse and grew deepsense.ai into a high-impact ML consultancy. His achievements blend deep technical insight with bold entrepreneurship, making him a key influencer in the evolution of ML tooling worldwide.
There have been no reported instances of personal controversies concerning Piotr Niedźwiedź, who is the Founder and CEO of Neptune.ai. The public information available highlights his professional achievements, the prominent role he took in MLOps, and the innovation and collaboration aspect of his work in the development of Neptune.ai, plus his influence on the global change of machine learning workflow.