Hello, I'm Anubrata Bhowmick. I'm a |
Building AI products, leading teams, and advising organizations on AI strategy.

Head of Technology

Olympus EMEA — Wieringerwerf, Netherlands

• Leading technology strategy for the next-generation Quest Insight system, defining roadmap and architecture in alignment with Olympus’ global innovation vision.
• Driving adoption of AI and MiFI (Multispectral Fluorescence Imaging) across Olympus product lines, ensuring scalability, compliance, and clinical value.
• Partnering with research hospitals, universities, and Olympus labs to shape cutting-edge R&D programs leveraging Quest Insight as the platform for innovation.
• Aligning product, engineering, and regulatory stakeholders to ensure successful system rollout and enterprise-wide adoption.
• Championing digital transformation by integrating Quest Insight into Olympus’ AI/MedTech portfolio, accelerating time-to-market and commercial success.
• Defined adoption targets: 10+ global hospitals onboarded by Year 1, expected to generate €3M+ incremental ARR.

Group Leader, AI & Data Analytics

Quest Medical Imaging (Olympus EMEA) — Wieringerwerf, Netherlands

• Delivered cloud/edge GenAI & SaaS platform (RAG services, copilots, FHIR/DICOM gateways, federated clusters) with 99.9% uptime and 2-week releases.
• Converted internal units to subscribers and re-licensed AI algorithms, driving €1.5M ARR.
• Closed multi-year MoUs with 3 university hospitals; secured 20 TB/month imaging data for federated learning.
• Owned P&L and budget; cut cloud unit cost via right-sizing, reserved capacity, and vendor consolidation.
• Reported quarterly to C-suite and board on technology strategy, SaaS scaling, and GTM influence.
• Led hiring across 4 countries (NL, DE, IN, JP); developed managers-of-managers and built succession pipelines.

AI Engineer

Philips — Eindhoven, Netherlands

• BuiltRAG-driven intraoperative copilots, improving classification accuracy by+22%.
• Architected cloud-agnostic MLOps backbone (Azure, AWS, OpenStack) cutting model promotion from 6 weeks to 2.
• Developed hyperspectral tissue classifier: 95% recall / 93% precision at approx. 50 ms latency.
• Launched GAN/diffusion synthetic-data factory, saving €250 k/year.
• Partnered with surgeons, sales, and KOLs to co-create features; supported pilots and lighthouse deals.
• Wrote design documentation for SaMD within QMS; aligned with MDR and EU AI Act requirements.

Data Scientist

Tata Consultancy Services — Kolkata, India

• LedGenerative AI scenario simulatorfor hospital operations; achieved 20% cost reduction.
• Deployed edge-AI pipelines for infant monitoring; reduced latency by 30%.
• Authored secure, scalable AI practices; partnered with QMS/regulatory to unblock deployments.
• Collaborated with clinical stakeholders, IT, and executives to alignAI roadmap with digital transformation.
• Mentored junior data scientists; introduced reproducibility standards (MLflow, GitOps).

Systems Engineer

• Built AI-powered fraud detection and risk engines for banking; improved prevention accuracy and reduced false positives.
• Developed a cloud-native payments platform with elastic scalability, high availability, and robust security.
• Contributed to enterprise-wide digital banking transformation projects across multiple markets. Leadership & Governance
• Board reporting: presented quarterly strategy, investment cases, and technology roadmaps.
• Executive leadership: managed managers-of-managers and scaled teams across 4 geographies.
• Innovation strategy: balanced research prototypes with productized SaaS/GenAI deployments.