AI that fits real workflows.
Knowledge retrieval, automation, human review and practical systems for teams handling complex information.
Scientific AI | Bioinformatics | Data Operations
I turn life-science complexity into AI workflows, data systems, and business-ready execution.
Knowledge retrieval, automation, human review and practical systems for teams handling complex information.
Bioinformatics depth with the ability to explain value, risk, roadmap and implementation to business stakeholders.
SQL, C#, Python, R, SAS, BI analytics, quality checks, clinical data concepts and reproducible workflows.
My operating style is calm, structured and execution-first: understand the system, reduce ambiguity, then build with evidence.
I clarify users, data sources, constraints, risks and success measures before choosing tools.
I structure information for analysis, reporting, automation, review and later scale.
I use retrieval, automation and human review where they improve quality, speed and trust.
Proof points chosen for senior reviewers: measurable thinking, technical range and operational maturity.
My current focus is responsible AI for healthcare and life-science workflows: secure data handling, RAG-based knowledge systems, human-in-the-loop review, documentation and evaluation.
Open resumeStartup operations, B2B sales support, service positioning, database workflows and AI/bioinformatics execution.
SDTM mapping, ADaM preparation, TLF generation concepts, SAS/R workflows and quality checks.
Cybersecurity AI group project with agent-style analysis, RAG architecture and deployed demo delivery.
Oomycete promoter regulation, computational biological analysis, scientific writing and reproducible research.
I use short videos to explain my transition from bioinformatics research into applied AI, data automation, healthcare innovation and practical learning.
Grouped for how hiring teams actually evaluate senior hybrid profiles.
RAG, AI agents, prompt engineering, LangChain, LangGraph concepts, OpenRouter, Hugging Face tools, Gradio, Streamlit, n8n.
SQL, C#, Python, R, SAS, PostgreSQL, business intelligence, reporting workflows, data cleaning and transformation.
Bioinformatics, systems biology, sequence analysis, omics workflows, SDTM, ADaM, TLF generation concepts.
Startup operations, B2B communication, service positioning, proposals, stakeholder follow-up, documentation and planning.
Tools I use to move from scientific problem to working system.
Python, R, SAS, SQL, C#, JavaScript, Markdown.
RAG, agents, LangChain, LangGraph concepts, OpenRouter, Hugging Face, Tavily.
PostgreSQL, BI analytics, database management, reporting, quality checks.
GitHub, Docker concepts, Streamlit, Gradio, n8n, Google Sheets and Gmail automation.
SDTM, ADaM, TLF generation concepts, SAS/R workflows and reproducible checks.
Scientific writing, technical documentation, B2B positioning, proposals and stakeholder updates.
A compact view of the roles behind the portfolio.
Wellness-focused platform covering food and beverage concepts, supplier outreach, customer communication, content and operations.
Startup operations, B2B communication, service positioning, database workflows, AI thinking and technical documentation.
PhD research in biology and bioinformatics with computational analysis, reproducible workflows and scientific reporting.
NGS and omics pipelines, R/Python workflows, high-memory server execution and cross-functional scientific collaboration.
Two neutral portfolio CVs for broad AI, data, healthcare innovation, bioinformatics, scientific operations and product operations roles. Not targeted to any single company.
30-minute discovery call
For recruiters, founders and hiring teams: use this option for a focused 1:1 discussion about AI, data, healthcare innovation, scientific technology or collaboration opportunities.
Open CalendlyI am based in the Frankfurt/Rhein-Main area and open to roles connecting life science, AI, data operations, healthcare innovation, product execution and customer-facing scientific technology.