I bridge scientific rigor and practical execution.
My work sits between bioinformatics, applied AI and startup operations — with a strong focus on making complex work usable.
PhD • COO • Applied AI
Bioinformatics • AI systems • startup execution
I turn complex ideas into clear, working systems.
I work at the intersection of science, applied AI and operations to build products, data workflows and thoughtful teams that can move fast.
AI systems
Research to product
Founder/operator
10+
Years across science and teams
PhD
Bioinformatics foundation
COO
Startup operating experience
AI
RAG, agents and automation
From research questions to real-world systems.
I help teams move from messy context to clear workflows, better data and stronger decisions.
Calm, structured and evidence-led.
I build with clarity, communicate with precision and keep the work grounded in what actually matters.
What I do
A compact view of the work I can bring into a team.
Applied AI
RAG, agents, workflow automation and practical prototypes that are easy to understand and improve.
Data systems
Structured workflows, clean handoffs and reproducible analysis that make complex information easier to use.
Execution support
Communication, planning and thoughtful operations so ideas can become momentum and momentum can become results.
A practical path, shared in public
I document what I learn while building — from scientific thinking to AI systems and the habits that make both durable.
Research depth, builder mindset
A PhD in bioinformatics and startup operations taught me how to move carefully and still ship with speed.
Map the workflow first
Before choosing tools, I clarify users, constraints and success metrics so the solution serves the real problem.
Learn by building in public
My writing and teaching turn experiments into useful reference points for others who are building their own path.
Translate, don't gatekeep
I help people connect scientific complexity with concrete plans, better communication and real momentum.
If you want to understand how I think, read the essays and watch the teaching videos below.
How I work
My operating style is calm, structured and execution-first: understand the system, reduce ambiguity, then build with evidence.
Start with the workflow
I clarify users, data sources, constraints, risks and success measures before choosing tools.
Create a reliable data layer
I structure information for analysis, reporting, automation, review and later scale.
Add AI responsibly
I use retrieval, automation and human review where they improve quality, speed and trust.
Featured projects
A compact view of the work I have built across healthcare data, AI workflows, startup operations and bioinformatics research.
Clinical Data Programming Workshop
SAS, R, SDTM, ADaM and TLF concepts
Built a portfolio-ready clinical data learning project with SDTM mapping, ADaM preparation, table/listing/figure concepts and explicit synthetic/public-data governance.
RAG and AI Agent Learning Systems
Retrieval, automation and human review
Designed practical workflows around document search, prompt engineering, LangChain/LangGraph concepts, local-first tools and reviewable AI outputs.
SentinelMesh AI
Cybersecurity AI group project
Contributed to an agent-style cybersecurity analysis demo with RAG architecture thinking, deployment coordination and structured technical communication.
Lovemeer
Germany-first wellness and product curation
Built the business concept, content direction and operating model for a multilingual wellness platform covering product discovery, supplier outreach and customer communication.
AI Career Automation Workflow
Local-first job scanning and approval queue
Worked with a local automation stack for job evaluation, tracker updates, human approval boundaries, dashboards and low-cost AI-assisted career operations.
PhD Bioinformatics Research
Oomycete promoter regulation and reproducible analysis
Delivered computational biology analysis, scientific writing and reproducible research around transcriptional regulation, sequence analysis and systems biology.
Project pattern
The common thread is practical translation.
These projects connect science, data and AI with usable outputs: structured datasets, workflow maps, demos, documentation, stakeholder communication and decision-ready summaries.
Open resumeSee the person behind the profile
I use short videos to explain my transition from bioinformatics research into applied AI, data automation, healthcare innovation and practical learning.
Capability map
Grouped for how hiring teams actually evaluate senior hybrid profiles.
AI systems
RAG, AI agents, prompt engineering, LangChain, LangGraph concepts, OpenRouter, Hugging Face tools, Gradio, Streamlit, n8n.
Data and analytics
SQL, C#, Python, R, SAS, PostgreSQL, business intelligence, reporting workflows, data cleaning and transformation.
Healthcare and life science
Bioinformatics, systems biology, sequence analysis, omics workflows, SDTM, ADaM, TLF generation concepts.
Executive operations
Startup operations, B2B communication, service positioning, proposals, stakeholder follow-up, documentation and planning.
The stack
Tools I use to move from scientific problem to working system.
Languages
Python, R, SAS, SQL, C#, JavaScript, Markdown.
AI workflow
RAG, agents, LangChain, LangGraph concepts, OpenRouter, Hugging Face, Tavily.
Data systems
PostgreSQL, BI analytics, database management, reporting, quality checks.
Delivery
GitHub, Docker concepts, Streamlit, Gradio, n8n, Google Sheets and Gmail automation.
Clinical data
SDTM, ADaM, TLF generation concepts, SAS/R workflows and reproducible checks.
Communication
Scientific writing, technical documentation, B2B positioning, proposals and stakeholder updates.
Experience
A compact view of the roles behind the portfolio.
Founder, Lovemeer
Wellness-focused platform covering food and beverage concepts, supplier outreach, customer communication, content and operations.
COO, Bioinformatics and AI Operations, Aomics GmbH
Startup operations, B2B communication, service positioning, database workflows, AI thinking and technical documentation.
Doctoral Researcher, Goethe University Frankfurt and Senckenberg BIK-F
PhD research in biology and bioinformatics with computational analysis, reproducible workflows and scientific reporting.
Research Associate, Punjab Agricultural University
NGS and omics pipelines, R/Python workflows, high-memory server execution and cross-functional scientific collaboration.
General resume
Two neutral portfolio CVs for broad AI, data, healthcare innovation, bioinformatics, scientific operations and product operations roles. Not targeted to any single company.
Project inquiry
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For collaboration, speaking, mentoring or hiring conversations. Your details are used only to respond to this inquiry.
30-minute discovery call
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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 CalendlyBased in Frankfurt/Rhein-Main and open to focused work at the intersection of life sciences, AI and product execution.