Transformation Manager at M42 | Technology Leader | Full-Stack Product Builder | Data & AI Engineer | Quantitative Developer
I am a technology and transformation leader with 9+ years of experience across two regulated, data-intensive industries: healthcare and financial services. I work across strategy, operations, product, data, AI, cloud, and software engineering — connecting executive priorities with hands-on technical delivery.
Across my career, I have contributed to more than 48 projects and products, including 30+ healthcare initiatives, with a focus on building scalable systems and turning complex transformation goals into measurable outcomes.
- Healthcare transformation: patient-care delivery at scale, hospital and laboratory operations, new laboratory activation, genomics, biotechnology, longevity, precision medicine, advanced diagnostics, healthcare AI, LLM solutions, and FHIR interoperability.
- Full-stack product engineering: product architecture, front-end and back-end development, APIs, integrations, cloud deployment, DevOps, observability, and secure production operations.
- Data engineering at scale: batch and streaming pipelines, ETL/ELT, orchestration, data quality, analytics platforms, machine learning workflows, and cloud-native data infrastructure.
- Quantitative development: software for quantitative modelling, financial analytics, market research, risk systems, and evidence-driven investment workflows.
- Agentic AI: multi-agent architectures, retrieval and research workflows, evaluation, transparency, model risk, and human-in-the-loop decision support.
- Product and growth: product strategy, lifecycle management, user discovery, rapid experimentation, analytics, distribution, and growth hacking.
At M42, and previously G42 Healthcare, I have led or contributed to 30+ initiatives focused on patient-care delivery at scale, hospital and laboratory operational improvement, PMO and governance, and the use of data and AI to improve quality, capacity, efficiency, and patient experience.
My work spans operating models and transformation roadmaps, programme and portfolio governance, laboratory establishment and activation, advanced diagnostics, genomics, precision medicine, healthcare AI, and interoperable digital-health solutions.
My financial-services background spans J.P. Morgan, Societe Generale Corporate & Investment Banking, PwC, and Accenture. It includes strategic programme management, digital transformation, AI strategy, data science, cloud architecture, and software development for quantitative modelling and trading-risk systems.
That experience shaped how I build: rigorous about evidence and controls, pragmatic about delivery, and comfortable moving between business strategy, data platforms, system architecture, and code.
Alongside my full-time role, I am the Founder of Future Edge Group, the company behind iPulse AI — an Open Agentic Investment Research Platform.
I am building iPulse AI across the full product and technology stack: scalable data ingestion and processing, cloud infrastructure, APIs, quantitative research workflows, multi-agent orchestration, evaluation and observability, user-facing research experiences, product analytics, and growth experiments.
Specialized AI agents examine market evidence from different perspectives, surface disagreement, assess risks and drivers, and produce transparent research that investors and analysts can inspect rather than accept as a black-box answer.
Open means making research, experiments, architecture, configurations, methodology, evidence, past forecasts, evaluations, limitations, and lessons inspectable — including what did not work. It does not automatically mean that all source code, proprietary data, or production infrastructure is open source.
| Domain | Focus |
|---|---|
| Transformation | Healthcare and financial-services strategy, operating models, PMO, governance, and execution |
| Software engineering | Full-stack applications, APIs, integrations, cloud-native systems, DevOps, and production operations |
| Data and AI | Data platforms, pipelines, analytics, machine learning, LLMs, agentic AI, and evaluation |
| Quantitative technology | Modelling, trading-risk systems, financial analytics, and investment-research tooling |
| Product and growth | Product strategy, lifecycle management, discovery, experimentation, analytics, and growth hacking |
| Cloud architecture | GCP, AWS, and Azure |
I am PMP-certified, a Professional Scrum Master, a P3GP governance professional, and a Google Cloud Professional Data Engineer, with postgraduate education in Artificial Intelligence at Tsinghua University and Engineering Management at INSA Lyon.
I wrote Hymn Of Modernity: Machine Learning, Augmented Reality, Big Data, Qubit, Neuralink and All Other Important Vocabulary It's Time to Know — an accessible guide to the technologies and ideas shaping the modern world.
Future Edge Group and iPulse AI are independent initiatives and are not affiliated with M42.