Consultancy

Complex bio and data problems. Turned into systems that work.

I help biotech teams, startups, and research groups architect the software and data infrastructure they need — from automated pipelines to AI-powered lab platforms.

How I work

I don’t just consult — I build. Every engagement starts with understanding the real bottleneck, then delivering working systems, not slide decks.

  1. 01

    Diagnose

    Deep-dive into your current stack, workflows, and pain points. Understand where time and data are being lost.

  2. 02

    Architect

    Design the target system — data models, integrations, automation flows, and compliance requirements.

  3. 03

    Build and ship

    Rapid prototyping and iterative delivery. Working software in weeks, not quarters.

Expertise

Solutions architecture

Designing scalable system architectures — from cloud-native microservices to on-prem lab informatics platforms. I think in data flows, not features.

Data engineering and automation

Building automated data pipelines, ETL processes, and closed-loop optimization systems. From raw instrument output to actionable dashboards.

AI and large language models

Integrating LLMs and machine learning into real workflows — not demos. RAG pipelines, intelligent assistants, and automated analysis.

Bioinformatics and lab informatics

Deep domain knowledge in cell therapy, oncolytic virotherapy, flow cytometry, and biological ontologies. I speak both biology and code.

Case study

BioPilot · In development

Building the operating system for cell therapy research

The problem

Cell therapy labs run on a patchwork of disconnected tools — Benchling for notebook entries, separate LIMS for inventory, FlowJo for FACS analysis, spreadsheets for DOE. File management is clunky, integrations are spotty, and there’s no single source of truth connecting a protocol to its results.

The solution

BioPilot is a single integrated platform with cell-therapy-native ontologies, a day-by-day protocol scheduler, native FACS gating workspace, DOE optimization boards, full inventory management, and audit trails — all designed around how cell therapy researchers actually work.

  • Native gating replaces the FlowJo → CSV → Benchling ingestion pipeline
  • DOE optimization as the default working surface — no more export-to-stats-tool
  • Deep ontology: cell lines ↔ media ↔ compounds ↔ hardware ↔ processes
  • One platform from exploratory R&D through GMP compliance

Services

  • End-to-end system design and architecture review
  • Custom data pipeline development and optimization
  • AI and LLM integration strategy and implementation
  • Proof-of-concept and rapid prototype development
  • Technical project management and advisory
  • Lab informatics and bioinformatics platform design

Let’s build something

Have a complex data or biotech challenge? I’d love to hear about it.