Subodh Ramugade

Email
subodh.ramugade@gmail.com
Phone
+1 (604) 369-3883
LinkedIn Id
subodhramugade
Location

Vancouver, B.C., Canada.

About me

SUBODH RAMUGADE

Vice President, AI in Healthcare

Over 20 years of global leadership experience building enterprise technology across healthcare AI, fintech, payments, and investment banking. A career defined by one consistent principle: translating strategic vision into scalable, production-grade solutions that deliver measurable business outcomes.

Currently serving as Vice President at CloudXLab, leading AI teams in partnership with McKesson to advance cancer research through production NLP and machine learning platforms. The mission involves converting hundreds of thousands of unstructured oncology documents into structured clinical data at scale. The technical approach combines neural network classifiers, advanced NLP with PubMedBERT embeddings, and large language models with Chain of Thought prompting, achieving clinical-grade accuracy with F1 scores exceeding 85% while reducing processing costs by over 70%. This represents the intersection of technical innovation and meaningful impact: AI that advances how we understand and treat cancer.

Prior to healthcare, founded and led Vedang.AI, a fintech venture focused on democratizing sophisticated financial intelligence. Built the platform end-to-end: predictive analytics and reinforcement learning models for portfolio optimization and asset allocation using PyTorch and TensorFlow, NLP pipelines for extracting insights from complex financial documents, automated data infrastructure for real-time risk calculation, and a production-ready application with FastAPI services and React/TypeScript visualization. The startup experience reinforced a core belief: the most effective technology leaders remain architecturally hands-on while scaling strategy and teams.

At Amazon, led engineering organizations responsible for digital payment platforms serving over 30 businesses globally, including regional payment integration processing 23% of Brazil's transaction volume. Simultaneously drove marketing and advertising technology initiatives, including loyalty program transformation and influencer platform development, contributing to more than $500 million in incremental revenue. Amazon provided the playbook for operating at scale: high-volume distributed systems, cross-functional alignment, and the discipline required to deliver products that millions depend on.

The foundation was established across nearly a decade in investment banking at Morgan Stanley, JP Morgan Chase, and Merrill Lynch. Rising to Vice President at Morgan Stanley's Private Wealth Management division involved leading teams that built real-time trading systems, enterprise risk platforms, and client suitability workflows across multiple asset classes. Financial services instilled the rigor of building systems that are not only performant but compliant, auditable, and trustworthy.

Leadership philosophy centers on building high-performing teams that combine engineering excellence with strategic thinking. Staying close to the technical work while empowering teams to own outcomes. The focus remains constant: transforming complex technical capabilities into sustainable business value.

Resume

Experience

Vice President, Artificial Intelligence in Healthcare
CloudXLab May 2024 to Present
Leading AI teams in partnership with McKesson to advance cancer research through production NLP and machine learning platforms. The mission involves converting hundreds of thousands of unstructured oncology documents into structured clinical data at scale.

The technical approach combines neural network classifiers, advanced NLP with PubMedBERT embeddings, and large language models with Chain of Thought prompting, achieving clinical-grade accuracy with F1 scores exceeding 85% while reducing processing costs by over 70%. This represents the intersection of technical innovation and meaningful impact: AI that advances how we understand and treat cancer.

Responsible for setting technical strategy, leading cross-functional teams, and ensuring delivery of production-grade AI solutions that meet clinical standards and regulatory requirements. Working closely with McKesson's oncology research teams to deliver solutions that transform how clinical data is processed and analyzed.
Founder & CEO
Vedang.AI June 2023 to May 2024
Founded and led a fintech venture focused on democratizing sophisticated financial intelligence through AI-powered solutions. Built the platform end-to-end from concept to production.

Developed predictive analytics and reinforcement learning models for portfolio optimization and asset allocation using PyTorch and TensorFlow. Created NLP pipelines for extracting insights from complex financial documents, automated data infrastructure for real-time risk calculation, and a production-ready application with FastAPI services and React/TypeScript visualization.

The startup experience reinforced a core belief: the most effective technology leaders remain architecturally hands-on while scaling strategy and teams. Led product development, technical architecture, and go-to-market strategy.
Head of Developer Experience in Advertisement Campaign Management
Amazon February 2022 to June 2023
Led a team in developing forward-looking products and services poised to drive Amazon's ad solutions' future growth across various mediums on a massive scale. The role included managing the creation of automated touch points, reducing the need for extensive inter-team collaboration, thus boosting productivity and expediting new product launches for our customers.

Provided operational and technical leadership in the development of the next generation of advertising products and services by decreasing the number of touch points and complexity in our existing systems. Oversee the team’s structure, software and strategic decisions by liaising and taking into account the objectives, requirements and priorities of internal customers and stakeholders.

Communicated and collaborated with Program Managers, business stakeholders and Senior Management to roll out features related to campaign management across different systems and services. Facilitated a rapid delivery of concepts and led Software Development Engineers (SDEs) in design reviews that included design, integration, performance and scalability issues.
Head of Marketing Technology
Amazon November 2019 to February 2022
Built and managed multiple mission-critical products and tier-1 tech services for Marketing Tech, Amazon. Managing agile teams of SDEs, TPMs, Product Managers, QAEs and SDMs through role-model leadership, open-door communication, and technical strategy.

Owned the aspects of the Software Architecture, Design, Development and Release Management lifecycle of 4 charters - Loyalty, Outbound, Influencer Marketing and Brand Partnership within the Zappos Marketing Technology Org of Amazon. Led marketing and advertising technology initiatives, including loyalty program transformation and influencer platform development, contributing to more than $500 million in incremental revenue.

As a Software Development Manager, responsible for overseeing the team's structure, software, and strategic direction. Led the Marketing Tech team in developing applications and tools to meet marketing requirements and initiatives, including Search Engine Optimization technology, outbound communications such as emails, SMS, and push notifications, the Influencer Program, customer satisfaction surveys and rewards programs such as enrolment and points management.
Software Development Manager, Digital Payment Experience
Amazon November 2017 to November 2019
Led engineering organizations responsible for digital payment platforms serving over 30 businesses globally. Managed the Digital Payments Experience team and worked on setting the vision to make it easy for digital businesses at Amazon to innovate on delivering purchase and local payments experience for a variety of users.

Led and rolled out products to enable Faster, Simpler and Customizable Payment Experiences across multiple Digital Businesses at Amazon. Worked with multiple business owners to onboard and adopt products across 34 different Amazon businesses including Audible (multiple market places – US, IN, CA and JP), ComiXology, AppStore and Cloud Drive.

Collaborated with business users, product managers and other tech teams to roll out multiple payment instruments including regional payment integration processing 23% of Brazil's transaction volume through Boletos for BR.
Head of Rapid Application Development
J.P. Morgan May 2017 to November 2017
Build and manage a global team (across 3 geographical regions) and was responsible for defining the product roadmap along with managing execution and delivery of the Rapid Application Development (RAD) model. RAD is a solution that helps bring Fund Manager, Clients and Operations together. This role was responsible for end-to-end program delivery including tracking, requirements, testing, implementation and scaling across institutional clients for all enterprise initiatives.
Vice President, Private Wealth Management Technology
Morgan Stanley September 2016 to May 2017
Managed a team as technical and domain lead for the Morgan Stanley PWM trading ecosystem. As a lead, was responsible for project acceptance, execution and delivery for various assets in trading platform. Responsibilities included (but are not limited to) regular business interaction, requirement gathering, creating & managing BRDs, System and Technical designs including hands on development. Global lead for tier one applications like Fixed income primary / secondary trading platform and Financial Adviser's - Sales Dashboard.

Earlier was a development lead for the Client Suitability & Eligibility 2.0 project that leveraged integration with Client Reference Data to evaluate real time changes as per client's risk profile. Designed and built end to end integration with downstream systems to ensure straight through processing.

Education

PG Certificate Course in Artificial Intelligence and Data Science
Indian Institute of Technology, Roorkee April 2024 to April 2025
Postgraduate certificate program focusing on advanced AI and data science concepts, machine learning, and practical applications.
Bachelor of Engineering (Computer Engineering)
University of Mumbai 2000 to 2004
Bachelor's degree in Computer Engineering with focus on software development, systems architecture, and computer science fundamentals.

Certifications

AI in Healthcare
Stanford University Issued May 2025
Certification in AI applications for healthcare, covering machine learning models, clinical data analysis, and healthcare AI systems.
The Complete Python Bootcamp
Udemy Issued August 2024
Comprehensive Python programming course covering fundamentals, advanced concepts, and practical applications.