Professional Overview
Chemical Engineer and MSc Big Data & AI student with hands-on GitHub projects in Python, SQL/PostgreSQL, ML pipelines, bioinformatics, molecular modelling, knowledge graphs and data engineering. Interested in remote AI/Data roles where I can turn complex scientific and business data into useful models and tools.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Analyzed water and energy use in industrial networks.
- Supported resource-efficiency assessment workflows.
- Evaluated sustainability and cost-performance metrics.
- Prepared structured technical reports and deliverables.
- Worked on EU Horizon 2020 industrial research project.
Key Achievements / KPIs
- Supported energy-efficiency analysis in food industries.
- Worked on sustainable industrial process systems
- Contributed to Horizon 2020 technical deliverables.
- Built experience in process-level decision support.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built ML workflows for scientific and environmental data.
- Processed structured datasets using Python and pandas.
- Applied feature engineering and model evaluation methods.
- Developed classification and regression modelling pipelines.
- Documented reproducible research workflows on GitHub.
Key Achievements / KPIs
- Built end-to-end ML pipeline for ecotoxicity prediction.
- Used molecular descriptors for predictive modelling
- Combined classification and regression workflows.
- Applied data cleaning, feature selection, and evaluation.
Education
Field of Study: Big Data and Artificial Intelligence
Field of Study: Machine Learning & AI in Process Systems
Field of Study: Chemical Engineering
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
