Engineering leader with 20+ years of experience building and running large, product-focused engineering organizations in fast-moving, data-driven businesses. Proven ability to translate strategy into execution and operate engineering with discipline—planning, metrics, incident management, and predictable delivery. Deep experience modernizing platforms, operationalizing ML/GenAI in production, and partnering closely with Product, Design, and Business leaders to improve customer outcomes and revenue performance. Former startup co-founder with strong delivery instincts and ownership mindset.
Overview
2026
2026
years of professional experience
Work History
SVP, Head of Technology
WOOD MACKENZIE (Verisk)
2024 - Current
Recruited to lead enterprise-wide technology execution and AI transformation across energy and commodity analytics.
Led a global organization of 500+ software engineers, data scientists, and MLOps professionals across product engineering, platforms, data, and AI
Established and scaled a 200+ engineer Technology Center in India to improve delivery velocity, operating leverage, and global coverage
Defined AI-first strategy, governance, and operating model; moved GenAI from experimentation to production-grade capability across the enterprise
Designed and launched a secure GenAI agentic framework in under 9 months (orchestration, governance, evaluation, tooling) to power enterprise initiatives
Introduced AI-assisted development (e.g., Amazon Q) improving impact per engineer ~15% on legacy apps and 30%+ on greenfield delivery
Built production-grade ML framework supporting short-, medium-, and long-term forecasting and pricing across energy and commodity markets
Defined and operationalized engineering velocity metrics (flow, cycle time, predictability), reducing cycle time from ~15 weeks to ~4 weeks
Delivered >$9M in first-year business value through AI-driven cost reduction, productivity gains, and cost avoidance
Partnered closely with Product, Research, Commercial, and Finance to align roadmaps to measurable customer and economic outcomes
SVP & Chief Technology Officer
PEARSON – Higher Education
2023 - 2024
Led end-to-end engineering execution for global learning platforms (16M+ MAU; $1B+ revenue), with strong focus on reliability, speed, and AI-driven product differentiation.
Directed 1,000+ global engineers across software engineering, data science, ML, QA, DevOps, and technical customer success.
Planned and executed product roadmap; increased delivery velocity 30% within two quarters through operating-model changes and execution discipline.
Created a stability platform manifesto and phased strategy; executed first phase in one quarter and increased uptime from 95% to 99.5%
Reorganized teams to reduce communication barriers and clarify ownership; reduced release cycle by 50% and removed $13M+ of excess cost
Led GenAI efficiency initiatives, including AI-powered performance testing tooling that reduced cost by $1.3M
Developed flagship AI products with OpenAI and Amazon Bedrock for students and instructors from inception through POC to production under 6 months to combat the AI threat to the business; enhanced learning outcomes by ~20%, increased engagement, reduced drop-out rates by 20%, and raised NPS scores by 25%
Launched GenAI tutor capability (Azure + ChatGPT), reaching 50,000+ unique active users in the first month of beta
VP Engineering / CTO
NASDAQ
01.2019 - 01.2022
Led product engineering and platform transformation for governance/board SaaS serving public-company clients.
Led an international 300-person engineering organization across development, QA, DevOps, and technical customer success
Set multi-year technical strategy (Azure migration, cloud-ready architecture, microservices roadmap) aligned to business goals
Transformed waterfall delivery to predictable scrum; reduced deploy frequency from 12 weeks to 4 weeks
Stabilized product and improved customer retention from
Boosted competitive win rate by 25% and increased NPS to 63% (from 36%) through reliability and product quality improvements
Integrated product/QA/release/tech support into cross-functional teams; reduced post-release defects by 50% and increased release quality score from 32% to 71%
Launched ESG solution (OneReport) and delivered greenfield cloud-native mobile app rewrite (SwiftUI/Combine) with 9/10+ UX ratings from sampled directors
Implemented automated CI/CD using GitLab, Kubernetes, and Terraform; improved DORA metrics, reducing change failure rate from ~20% to 0
Chief Technology Officer
VECNA TECHNOLOGIES
01.2017 - 01.2019
Owned engineering execution, customer implementations, and cloud operations for healthcare SaaS products.
Led full-stack development, QA, DevOps, infrastructure (AWS), product support, and professional services for customer implementations
Reorganized teams to distribute product knowledge and improve delivery focus; reduced turnaround time on critical blocking issues by 75%
Introduced container-based deployments cutting deployment time by ~66% and reducing deployment error rates by 90%
Deployed self-service patient app integrated with leading EHR systems via HL7 and REST APIs; reduced integration implementation time by 50%+
Vice President of Software Engineering
MPAY, INC.
01.2015 - 01.2017
Led product engineering and IT for payroll/HR SaaS platforms, focusing on execution, compliance, and scalable delivery.
Managed product managers, engineers, scrum masters, IT, and QA; owned SaaS development, operations, and corporate IT
Provided technical strategy and roadmaps as part of executive leadership; aligned investments to business and operational goals
Led change management from waterfall to agile delivery across teams
Increased potential revenue by 40% by releasing three enterprise SaaS product lines
Oversaw regulatory compliance and release execution: 26+ releases (2016) and 20 releases (2017) serving 2.5M users
Built cross-functional scrum teams and KPI guardrails; reduced pre-release defects by 35%, cut post-release rework by 40%+, and achieved 97% roadmap adherence
Recruited and scaled org from 10 to 40+ across four teams; achieved 92% retention
Co-Founder & Chief Technology Officer
ACORN TECHNOLOGY
01.2005 - 01.2014
Co-founded and scaled an enterprise fintech software business; led product engineering, delivery, and global implementation.
Built and scaled the product from a single solution to four award-winning enterprise platforms; supported a $100M+ sales pipeline
Drove release discipline and automation: reduced release cycle from 6 months to 12 weeks; added automated testing reducing regression cost by 20%
Established product development KPIs (predictability/quality/efficiency), achieving 95% predictability, 82% quality, and 85% efficiency targets
Supported growth through direct customer engagement; personally presented product value to drive $89M in license revenue
Improved scalability/performance while reducing time to deliver new features by 25%
Established offshore R&D; in India reducing total costs by 40%; delivered implementations across 7+ countries
Education
Bachelor of Science - Electrical & Computer Engineering
VP, Technology & Product Development at Springboard Non-Profit Credit Counseling, Inc. dbaVP, Technology & Product Development at Springboard Non-Profit Credit Counseling, Inc. dba