I am currently based in Prague (Czechia). I’ve been working on websites and delivering online marketing campaigns as a commercially-focused freelancer since 2006 for big prestigious brands, worked in-house for many years as a consultant, manager, or director, and run several own startups. I founded / co-founded several companies with an annual turnaround of around $10+ million. When I am not actually working on my business I try to constantly pass on my broad experience through seminars and online training, I also organize company trainings and workshops.
I define myself as a digital superman for any project, who can create well-performing websites based on customers’ needs and their actual behavior. Prepare catchy content. And take care of all your digital marketing activities – SEO, PPC, social media, and all other online channels. I am a big fan of the GDT (Get Things Done) methodology which I apply directly when working on projects.
I am currently based in Prague (Czechia). I’ve been working on websites and delivering online marketing campaigns as a commercially-focused freelancer since 2006 for big prestigious brands, worked in-house for many years as consultant, manager or director and run several own startups. I founded / co-founded several companies with annual turnaround around $10+ million USD… Show more
for small and big clients all over the world.
in digital business.
from clients.
I’ve cooperated with Michal on numerous projects, related to SEO incl. content creation, web development, UX/UI design, online graphics, and web analysis. Our projects were always delivered on time and with great quality. What I appreciate about working with Michal the most is his business drive, mentor-like approach, flexibility, and honesty. Michal won’t do pointless work for you, he will help you choose and execute the right approach, instead.
We hired Michal as a digital consultant when were creating a new company website. He helped us put together a basic idea of how the new site should work in term of UX, prepared very detailed wireframes, provided the content and coordinated our external teams. I appreciate his professional approach, his great communication skills and proactivity. After the successful website launch, we contacted Michal several times and this resulted in a long-term cooperation.
Michal is extremely hardworking and purposeful. Somehow I suspect that it has not happened yet that he did not achieve what he intended. If you need to realize something, then contact Michal. He is your Man.
Michal is very hardworking manager with an excellent instinct for business. I got to know him as a courageous and decisive person and it does make a lot of fun to work and to develop new ideas and business opportunities with him . Besides that he is a cool guy to have a beer with...
Having worked with Michal for nearly two years, I can say he is an empathetic mentor, an indispensable collaborator, a fluid manager, a supportive colleague, and funny guy. Michal does everything with a smile. It is a great pleasure working with him.
I had an opportunity to cooperate with Michal on several client's projects. Michal is a self organized, target driven and customer oriented individual with huge knowledge and experience with online marketing. I can only recommend Michal for any company.
After our introductory gathering, Michal and I decided to sit down together in person. During the initial months of administrating the joint-cooperation, I truly admired his perspective towards work ethics and aims. He is one of the most competent content marketing specialists. I am truly motivated by the leadership behavior he displays towards his team and his endeavors towards exploring better strategies for corrective measures.
I have worked with Michal since 2012 and have always had great results from him. He is a dependable, hard working individual. He understands the importance of his work and the impact it has on the business and knows what does and does not work. He is specialized in analytics field and extremely knowledgeable about the online space in every aspect. And you do not find many "SEO guys" who try to really care about the content not just about some rubbish magical metrics:)
Jailbreaking is an attempt to bypass a model's safety rules or restrictions. In large language models, it usually means using carefully crafted prompts, context or interaction patterns to make the ...
Jailbreaking is an attempt to bypass a model's safety rules or restrictions. In large language models, it usually means using carefully crafted prompts, context or interaction patterns to make the Read article →
Feature selection is a machine learning technique used to choose the most useful input variables from an original dataset. The goal is not to create new variables, but to keep ...
Feature selection is a machine learning technique used to choose the most useful input variables from an original dataset. The goal is not to create new variables, but to keep Read article →
Data leakage is a situation where a machine learning model receives information during training that would not be available in real use. The model then appears to perform very well ...
Data leakage is a situation where a machine learning model receives information during training that would not be available in real use. The model then appears to perform very well Read article →
Model explainability is the ability to understand why a machine learning model produced a certain output, prediction or recommendation. It helps people see which inputs influenced the result, whether the ...
Model explainability is the ability to understand why a machine learning model produced a certain output, prediction or recommendation. It helps people see which inputs influenced the result, whether the Read article →
Exploitation is the use of the best-known action based on current knowledge. In reinforcement learning, it means that an agent chooses the option that currently seems most rewarding, instead of ...
Exploitation is the use of the best-known action based on current knowledge. In reinforcement learning, it means that an agent chooses the option that currently seems most rewarding, instead of Read article →
Reward hacking is a situation where a model learns to optimise the reward signal while missing the real purpose of the task. The system technically does what it is rewarded ...
Reward hacking is a situation where a model learns to optimise the reward signal while missing the real purpose of the task. The system technically does what it is rewarded Read article →
An outlier is a point that appears unusual compared with the rest of the data. It may be a rare but valid observation, a measurement error, a data quality problem, ...
An outlier is a point that appears unusual compared with the rest of the data. It may be a rare but valid observation, a measurement error, a data quality problem, Read article →
RLHF, short for reinforcement learning from human feedback, is a training approach in which human preferences are used to help shape model behaviour. Instead of telling the model only what ...
RLHF, short for reinforcement learning from human feedback, is a training approach in which human preferences are used to help shape model behaviour. Instead of telling the model only what Read article →
The curse of dimensionality is a problem where high-dimensional spaces become sparse and harder for models to learn from reliably. As the number of features grows, the data space expands ...
The curse of dimensionality is a problem where high-dimensional spaces become sparse and harder for models to learn from reliably. As the number of features grows, the data space expands Read article →
An AI agent is an artificial intelligence system that can pursue a goal, make decisions, use tools and perform actions on behalf of a user or another system. Unlike a ...
An AI agent is an artificial intelligence system that can pursue a goal, make decisions, use tools and perform actions on behalf of a user or another system. Unlike a Read article →
Drift is a change in data distribution or relationships over time. In machine learning and AI systems, drift means that the data, environment, user behaviour or target relationship changes after ...
Drift is a change in data distribution or relationships over time. In machine learning and AI systems, drift means that the data, environment, user behaviour or target relationship changes after Read article →
PCA, short for principal component analysis, is one of the best-known dimensionality reduction methods. It is often used with numerical data to reduce the number of variables while preserving a ...
PCA, short for principal component analysis, is one of the best-known dimensionality reduction methods. It is often used with numerical data to reduce the number of variables while preserving a Read article →
Agentic AI is a broader category of artificial intelligence systems focused on goal-driven action and autonomy. Instead of only responding to a single prompt, agentic AI systems can plan steps, ...
Agentic AI is a broader category of artificial intelligence systems focused on goal-driven action and autonomy. Instead of only responding to a single prompt, agentic AI systems can plan steps, Read article →
Exploration means trying new or uncertain actions to collect more information. In reinforcement learning, it helps an agent discover better strategies instead of only repeating the action that currently looks ...
Exploration means trying new or uncertain actions to collect more information. In reinforcement learning, it helps an agent discover better strategies instead of only repeating the action that currently looks Read article →
An agent is the learning system that acts in an environment and receives feedback. In reinforcement learning, the agent observes the current situation, chooses an action, receives a reward or ...
An agent is the learning system that acts in an environment and receives feedback. In reinforcement learning, the agent observes the current situation, chooses an action, receives a reward or Read article →
Dimensionality reduction is a process in which data with a large number of variables is transformed into a simpler form with fewer dimensions. The goal is not to make the ...
Dimensionality reduction is a process in which data with a large number of variables is transformed into a simpler form with fewer dimensions. The goal is not to make the Read article →
Overfitting is a situation where a machine learning model learns the training data too closely and performs poorly on new data. The model may look very accurate during training, but ...
Overfitting is a situation where a machine learning model learns the training data too closely and performs poorly on new data. The model may look very accurate during training, but Read article →
Hierarchical clustering is a clustering method that creates a tree-like structure of groups. Instead of producing only one fixed set of clusters, it shows how observations can be grouped at ...
Hierarchical clustering is a clustering method that creates a tree-like structure of groups. Instead of producing only one fixed set of clusters, it shows how observations can be grouped at Read article →
An anomaly is an unusual observation or pattern that may indicate something important or abnormal. In machine learning and data analysis, an anomaly is a data point, event, behaviour or ...
An anomaly is an unusual observation or pattern that may indicate something important or abnormal. In machine learning and data analysis, an anomaly is a data point, event, behaviour or Read article →
Reward is one of the core concepts in reinforcement learning. It is a numerical signal that an agent receives after taking an action in a certain situation. This signal tells ...
Reward is one of the core concepts in reinforcement learning. It is a numerical signal that an agent receives after taking an action in a certain situation. This signal tells Read article →
Hi, my name is Michal Krčmář. I am digital entrepreneur currently based in Prague (Czechia). I’ve been working on websites and delivering online marketing campaigns as a commercially-focused freelancer since 2006 for big prestigious brands, worked in-house for many years as consultant, manager or director and run several own startups. I founded/co-founded several companies with annual turnaround around 10+ mio USD. When I am not actually working on my business I try to constantly pass on my broad experience through seminars and online training, I also organize company trainings and workshops.
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