Seraphnet

Chief Technology Officer

Non Sense Vision

At Non Sense Vision, we believe in the transformative power of AI and machine learning. As the CEO & Founder, my commitment is to lead our company with a visionary approach that not only propels us forward but also ensures we remain grounded in our core values and principles. Here's a snapshot of my responsibilities:

🚀 Strategic Leadership 
  💡 Crafting the roadmap: I am dedicated to setting both immediate and future-oriented goals that resonate with our mission to redefine the AI and machine learning landscape across DataOps, MLOps, and AIOps.
  💡 Building bridges: I prioritize forging and sustaining relationships with industry stalwarts, academic institutions, and our esteemed clientele, solidifying Non Sense Vision's reputation as a reliable leader in the AI realm.
  💡 Igniting passion: I believe in the potential of every team member and strive to create an environment where creativity knows no bounds, and every achievement, big or small, is celebrated.
⚙️ Team Building & Culture 
Assembling the dream team: I am passionate about bringing together a diverse group of experts, from data scientists to engineers, and creating a workspace that values innovation, teamwork, and perpetual growth.
🤖 Market Expansion 
Seizing opportunities: My role involves a keen eye for potential market gaps and devising strategies to fill them, ensuring our company's consistent and sustainable growth.
🛠 Innovation & Research 
Staying updated: I am committed to staying abreast of the latest in AI, machine learning, and data science, ensuring our solutions are always a step ahead and top-notch.
👨🏼‍⚖️ Ethical AI Advocacy 
Doing right by AI: I champion the cause of responsible AI, emphasizing the importance of ethical considerations and transparency in all our endeavors.

👨🏼‍💻 Project:
🔜 Polska Press Grupa
🔛 Saventic Health
🔛 Atlasus 
🔛 Bidlogic 
🔛 Digital First AI
🔛 Altimetrik Poland
🔛 Displate
🔛 Plenti

Ceo & Founder

BEST Grupa Kapitałowa

At BEST Grupa Kapitałowa, as a Senior Machine Learning Engineer, my key responsibilities include:
💡Rebuilding Business Models: Utilize Python, mlflow, and H2O to reconstruct and optimize classification models, specifically targeting the debt collection repayment process.
💡Integration of CI/CD: Implement continuous integration and continuous deployment within scikit-learn machine learning pipelines to ensure streamlined updates and deployments.
💡Advanced NLP Algorithms: Spearhead the development and optimization of cutting-edge machine learning and deep learning algorithms within the Natural Language Processing domain.
💡Deep Learning-Powered Search Engine: Design and implement a search engine based on deep learning, leveraging siamese networks to enhance search accuracy and relevance.
💡Multilabel Text Classification: Develop and refine algorithms for multilabel text classification, enabling more nuanced categorization and analysis of textual data.

Senior Machine Learning Engineer

Raiffeisen Bank International AG

At Raiffeisen Bank International AG, as a Data Science Specialist in Credit Risk, my key responsibilities include:
💡Business Process Analysis: Thoroughly evaluate and understand the intricacies of business processes to identify areas of improvement and optimization, especially in relation to credit risk.
💡Data Mart Integration: Spearhead the integration of data marts between various systems, ensuring seamless data flow and consistency for effective credit risk analysis.
💡Database Modeling for LGD Models: Collaborate with relevant teams to gather requirements and design new database models tailored for Loss Given Default (LGD) predictions and analysis.
💡Cross-departmental Cooperation: Work closely with substantive departments to define and understand their specific reporting requirements, ensuring alignment with credit risk objectives.
💡Reporting Requirements Definition: Actively participate in discussions and workshops to define precise reporting requirements, ensuring that all credit risk-related insights are captured accurately and effectively.

Data Science Specialist in Credit Risk

Bank Pekao S.A.

At Bank Pekao S.A., as a Chief Risk Management Specialist, my key responsibilities include:
💡Cyclical Reporting: Utilize Oracle Database, SAS, and Python to generate regular and timely reports, ensuring accurate representation of credit risk data and insights.
💡Supporting Capital Requirement Automation: Play a pivotal role in advancing automation processes, particularly in the domain of capital requirement calculations, to enhance efficiency and accuracy.
💡System Implementation for Capital Requirement: Lead and oversee projects aimed at introducing a new system tailored for precise and efficient capital requirement calculations.
💡Scrum Methodology Integration: Champion the adoption and implementation of the Scrum methodology within the team, fostering an agile and collaborative work environment.
💡Jira and Confluence Management: Design and establish schemes in Jira and Confluence, and subsequently manage and administer data processes, ensuring streamlined project management and documentation.

Chief Risk Management Specialist

PKO Bank Polski

At PKO Bank Polski, as a Data Science Specialist in Credit Risk, my key responsibilities include:
💡Big Data Management: Handle and analyze some of the largest data sets in the Polish banking sector, leveraging advanced tools and techniques to extract meaningful insights from vast amounts of data.
💡Model Quality Monitoring: Utilize SAS and R to continuously monitor the performance and quality of deployed models, ensuring they remain accurate and effective in real-world scenarios.
💡Anomaly Analysis: Investigate and analyze any anomalies or discrepancies related to the model monitoring application, ensuring the integrity and reliability of the models in production.
💡Automated Reporting: Develop and implement automated reporting mechanisms for monitored portfolios using SAS and Python, ensuring stakeholders receive timely and accurate updates.
💡Portfolio Oversight: Maintain a comprehensive understanding of the portfolios under surveillance, ensuring that any shifts or trends are promptly identified and addressed.

Freelance, self-employed

Work for research and commercial teams focused on R&D sectors. Implementation of models
statistical, machine learning and deep learning related to streaming data
time series, survey data, and panel data in R and Python. Construction and management
backend and frontend of applications built in Shiny with support for previously built models. Projects: 
✈️ Property valuation based on spatial hedonic models. 
✈️ Trading bot for cryptocurrency based on scalping strategy. 
✈️ Application for deployment forex strategy based on streaming data. 
✈️ Dashboard for impact of climate change on ceny property.
✈️ Analytics system for optimisation portfolio on forex.  
✈️ Analyzes of fetal carcinomas. 
✈️ Others: mini aplications, dashboards and analyzes for the financial industry, pharmacy and real estate market.

Freelancer 

Publicis Media

At Publicis Media, as a Data Science Assistant, my key responsibilities include:
💡Data Automation: Streamline and automate the process of data preparation, scraping, and API data retrieval using R and Python, ensuring efficient and error-free data collection.
💡File Management & Automation: Design and manage new working files tailored for data analysis and processing, and automate related processes to enhance workflow efficiency.
💡Dashboard Maintenance: Provide consistent support for existing visualization dashboards, ensuring they remain updated, accurate, and user-friendly.
💡Dashboard Creation: Design and develop new interactive dashboards using tools like Tableau and Power BI, translating complex data into visually intuitive insights.
💡Collaborative Support: Work closely with the data science team and other stakeholders, offering assistance in data-related tasks and ensuring the smooth execution of projects.

Data Science Assistant

Hi there! I'm Piotr Malicki, your go-to guy for all things AI and machine learning.  My passion for AI and ML knows no bounds, and I love exploring topics like AIOps, MLOps, DataOps, and ML architecture. With years of experience across various exciting industries such as finance, risk management, and digital marketing, I've unlocked the true potential of AI and ML solutions. 

As the creative force behind NonSenseVision, I bring innovation to life with cutting-edge machine learning, deep learning, and natural language processing techniques.  My academic background is equally impressive, boasting multiple degrees and certifications in data science, analytics, and econometrics.

So, let's chat! I'm all about making AI and ML fun, engaging, and accessible for everyone.  Let's explore the fascinating world of AI together, and unleash the power of technology to create a brighter future.

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