About

Astrophysicist turned AI leader, still driven by first principles.

Darsh Kodwani works across machine learning, scientific thinking, and business execution. The through-line is a conviction that rigorous, data-driven technology can help solve the world’s biggest problems.

Current role

Director of Data Science and Forward Deployed Engineering at Kyndryl in London, leading AI transformation for large financial-services institutions.

Background

Born in Ahmedabad, raised largely in Adipur, moved to the UK at 12, with formative academic years in Toronto and Oxford.

3Degrees from Royal Holloway, Toronto, and Oxford
9Peer-reviewed publications across cosmology, gravity, and ML
10+Years spanning research, startups, consulting, and enterprise AI
Narrative

What shapes the work

Darsh was born in Ahmedabad, Gujarat, and spent most of his childhood in Adipur in western India, with a brief early period in Manchester. He moved to the UK when he was 12 and has lived there since, except for two years in Toronto during his master’s degree.

His day-to-day work blends machine learning, software engineering, and strategic problem-solving. Alongside that, he continues to write and think about research questions in physics, statistics, and machine learning.

Statistics, mathematics, and programming are the common languages behind most of his work. Many of those tools were sharpened outside the classroom through self-learning, industry projects, and teaching.

Learning and teaching remain central themes. That same curiosity drives his broader view that rigorous technical work should ultimately create useful real-world outcomes.

Education

Academic foundations

Royal Holloway, University of London

MSci Astrophysics, 2011-2015

Graduated with First Class Honours and received the University of London Driver Prize for the highest grades in the graduating year.

University of Toronto

MSc Physics, 2015-2017

Graduated with a GPA of 3.92/4.0 under the supervision of Ue-Li Pen, strengthening the bridge between theory and computation.

Royal Holloway logo
Royal Holloway
Toronto logo
Toronto
Oxford logo
Oxford
Experience

Work across science, startups, consulting, and enterprise AI

Kyndryl

Director, Data Science & Forward Deployed Engineering · 2025 – present

Leads AI transformation for large financial-services institutions, owning architecture and delivery of enterprise AI programs from strategy through production. Defines reusable patterns and ways of working adopted by Forward Deployed Engineering teams globally.

Microsoft

Senior Data Science Manager & Forward Deployed Engineering Lead · 2023 – 2025

Led AI transformation for global financial-services and industrial clients, delivering enterprise AI programs on Azure end-to-end. Owned architecture and delivery on large strategic engagements while supporting and growing the data-science and engineering team.

Accenture

Data Science Manager

Led teams of data scientists and ML engineers building analytics and AI tools for asset-industry clients, while also contributing to internal ML operations capabilities inside the Institute of AI.

Oxford Nanoimaging

Data Scientist

Worked on analysis and automation for biological microscopy data at a biotech company built around super-resolution imaging technology from Oxford Physics.

EcoSync

Head of Data Science

Built supervised learning and reinforcement learning systems to optimize energy usage in buildings, combining practical product thinking with climate-tech impact.

Outsmart Insight

Lead Technical Consultant

Delivered scientific and technical R&D consulting projects ranging from neuromorphic computing forecasts to deep-tech due diligence and expert-led market analysis.

Oxford Strategy Consulting

Team Lead Consultant

Led Oxford student and researcher teams on client work in logistics and clean energy, translating ambiguous client goals into structured project execution.

Earlier roles

Internships and early research work

Pythia Sports

Quantitative Analyst

Worked on supervised machine learning models for football analytics using large-scale match datasets and feature engineering.

National Physical Laboratory

Research Assistant

Developed novel alloy-based temperature calibration approaches for thermocouples inside experimental apparatus.

Open University

Research Assistant

Automated the opening and closing of the PIRATE telescope in Mallorca based on weather analysis, earning a Gold Crest award from the British Science Association.

Contact

Continue the conversation

For research collaborations, AI consulting, speaking, or hiring conversations, the fastest routes are LinkedIn, GitHub, Google Scholar, or direct email.