I am an applied AI and data professional with a PhD background in biology and bioinformatics, founder experience, and hands-on work across AI automation, RAG systems, business intelligence, database workflows, and scientific data analysis.
My work sits at the intersection of practical AI implementation and real-world operations: translating fuzzy business or research problems into structured workflows, prototypes, documentation, dashboards, and decision-ready outputs.
- Based in Frankfurt am Main / Konigstein im Taunus, Germany
- Open to AI automation, data, bioinformatics, scientific operations, product operations, and solutions roles
- Fluent in English; German B1 certified and progressing toward B2
- Interested in AI systems that are useful, auditable, safe, and understandable
- Building AI agents, RAG applications, and automation workflows for business and knowledge work
- Applying SQL, C#, Python, R, SAS, and BI analytics to data workflows
- Expanding clinical data programming knowledge: SDTM, ADaM, TLF generation, SAS, and R
- Creating beginner-friendly GitHub workshops for reproducible programming and version control
- Connecting bioinformatics, product thinking, client communication, and applied AI delivery
Full-stack restaurant intelligence platform using Vue 3, TypeScript, Node.js, PostgreSQL, Prisma, and LLM integration through OpenRouter.
Highlights: structured outputs, schema validation, deterministic fallbacks, prompt-injection checks, rate limiting, security headers, Docker Compose, tests, and GitHub Actions.
n8n workflow connecting Gmail, OpenRouter, and Google Sheets to classify messages, apply labels, draft reviewed replies, and log decisions.
Highlights: structured JSON, audit trail, human review gates, safety overrides, and reusable business inbox automation patterns.
Document Q&A and retrieval workflow with authentication, uploads, re-indexing, memory, monitoring, source logs, A/B configuration tests, and deployment paths.
Highlights: practical RAG system design for knowledge management, technical support, and document-heavy business workflows.
Group cybersecurity AI project: a multi-agent analyzer built with LangGraph, Hugging Face embeddings, LlamaIndex, ChromaDB, and Gradio.
Contribution signal: collaborated on practical AI/security workflow design, agent-style analysis, RAG-oriented architecture, app structure, documentation, and deployment-ready demo delivery.
Pilot workflow covering SDTM mapping, ADaM dataset preparation, TLF generation, SAS, R, quality checks, and reporting concepts.
Highlights: bridges scientific data handling, reproducible programming, and clinical research data standards.
- Founder of Lovemeer, a wellness-focused business platform
- COO / Bioinformatics and AI Operations at Aomics GmbH
- PhD research in biology and bioinformatics at Goethe University Frankfurt and Senckenberg BIK-F
- Research Associate experience in NGS and omics pipelines for Brassica species
- Experience translating technical capabilities into B2B service positioning, proposals, and client communication
I am happy to connect around applied AI, data automation, bioinformatics, clinical data workflows, scientific operations, product operations, and practical digital transformation.
- LinkedIn: linkedin.com/in/sakshibsharma
- GitHub: github.com/sakshianil
- Email: [email protected]