Dec 2020 – Aug 2024 · 3 yrs 8 mos · Worldwide

• Providing a helping hand to early and mid-stage start-ups in the health-tech and deep-tech spaces.

Sep 2020 – Aug 2024 · 3 yrs 11 mos

• Was involved in building AI solutions at a planet-scale to transform interactive experiences across Microsoft's devices for current and future generations. Worked as a part of Project Turing (https://www.microsoft.com/en-us/research/project/project-turing/), Microsoft's deep learning initiative that develops best-in-class AI models powering applications across the Microsoft product family (Word, PowerPoint, Office, Dynamics, etc.).

Nov 2015 – Jan 2018 · 2 yrs 2 mos

• Led the entire data science and applied research group. Was responsible for building algorithms to automate manual review of microscopic images captured using indigenously built smart optical scanner.
• Led the development of Machine Learning and Deep Learning models for object localisation, morphological classification, 3D parameter estimation using 2D information, object tracking and edge computing.
• Co-authored several research papers which were published at several computer vision and medical
• imaging conferences and journals. Co-invented several core intellectual property assets for the organisation.

Oct 2015 – Sep 2020 · 4 yrs 11 mos

• (TL;DR: At SigTuple, as a founding member I did a lot of things that mattered for the organisation. Made billions of mistakes, un-learnt a lot of things and learnt some of the best lessons of building products, scaling teams and leading an organisation)
• SigTuple's vision is to revolutionise the healthcare of tomorrow and make it accessible, affordable and accurate by leveraging the power of robotics, data and AI. SigTuple is funded by some of the marquee institutional and individual investors with over $43 Million in capital infusion.
• SigTuple's indigenously build Robotics and AI platform is created by some of the brightest minds in the industry. The robotic device is capable of digitising laboratory workflows that require microscopy and each day our AI platform instantly analyses over a billion data points using complex deep learning, image processing and statistical models to finally suggest and summarise the inferences from visual medical data to a medical expert.
• Contributions:
• Anchored SigTuple vision is to revolutionise the world of healthcare using AI and Robotics. Led org. wide software + hardware product and technology verticals for automating healthcare diagnostic tests which require manual visual analysis by medical experts.
• Contributed to the core strategy and vision of the products. Led the team to build a suite of Regulatory Approved AI powered diagnostic solutions in pathology and ophthalmology.
• Led product management, data science, engineering, medical research, innovation management, regulatory and strategic decisions.

Jun 2012 – Oct 2015 · 3 yrs 4 mos · Bangalore

• Worked on designing and developing large scale distributed system platforms for a gamut of things encompassing hues of complex engineering, massive data processing, big & fast data analytics, web crawling, machine learning and visualization. Was involved in building an eclectic mix of data-driven products and foundational capabilities that span across the catalogue of prospect acquisition, hyper-personalisation, fraud & risk modelling, predictive analytics, realtime decisioning, big data visualisation and peta-scale enterprise-wide data processing framework.
• Across my tenure at American Express, I have been fortuitous enough to help build systems that impact major facets of financial organisation including enterprise information management, customer marketing & targeting, fraud & credit risk platforms and data governance-security-privacy.