Klysman

FinOps & Data Platform Consultant

• · Leading FinOps initiatives focused on optimizing cloud spend, improving cost visibility, and aligning infrastructure investments with business outcomes across multi-cloud environments.
• · Designing Databricks Lakehouse architectures to ensure scalable, cost-efficient data processing, governance, and analytics for enterprise workloads.
• · Building automated cost-monitoring and alerting workflows including anomaly detection, rightsizing recommendations, and idle resource cleanup.
• · Collaborating with engineering, finance, and product teams to translate technical optimization opportunities into clear financial impact and executive-ready reporting.
• · Advising clients on roadmap, tooling, and operating model for sustainable FinOps practices integrated with their existing data and MLOps/LLMOps stack.

Data Scientist

• · Principal Data Architecture: Architected the end-to-end data infrastructure for ESNA (Europe Startup Nations Alliance), a strategic platform connecting the European Commission, Member State Governments, and National Entrepreneurship bodies.
• · Technical Leadership: Acted as primary authority for all high-level technical decisions, including scalable cloud architectures and Databricks Lakehouse integration.
• · Team Building: Led the technical recruitment process to build a high-performing project team capable of delivering complex big data solutions.
• · System Design: Directed development of Databricks architectures using Spark, Delta, and Unity Catalog for data governance and statistical validation.

Data Scientist

• · Implemented a Big Data Lakehouse architecture to optimize operations at the Port of Sines, deploying a Random Forest Regression model to predict vessel berth duration.
• · Designed and automated ETL pipelines for continuous data integration.
• · Configured CI/CD pipelines using GitHub Actions.
• · Implemented MLflow for managing and monitoring Machine Learning models.

Data Scientist

• · Directed AI efforts toward socio-environmental and economic development, communicating strategic analytical results to stakeholders.
• · Managed pipeline of projects in data science, ETL, EDA, data processing, and web scraping using Scikit-learn, NumPy, Pandas. Integration with cloud services.
• · Developed the company's Design System.

Machine Learning Researcher

• · Spearheaded R&D of AI techniques for automated classification of embryos and oocytes, improving selection accuracy in clinical research.
• · Developed an LED reactor for photodynamic inactivation of E. coli — a data-driven solution for sewage treatment.
• · Directed scientific investigations into Light Activated Disinfection and Antimicrobial Photodynamic Therapy.
• · Engineered customized aesthetic prostheses for oncology patients with complex head and neck lesions.
• · Developed and maintained the laboratory's official website.

Machine Learning Engineer

• · Developed computer vision features for a mask detection project using the CORAL interface with Google's local AI toolkit.
• · Implemented models using TensorFlow 2.0 / Keras — MobileNet and MobileNetV2.
• · Built and segmented image datasets for model training.

Software Engineer

• · Research and troubleshooting in Computer Forensics, Biometrics, and Video Analytics.
• · Developed the laboratory's web application.
• · Monitored AI research for publication in LaTeX.