Hi, I'm Srilekha Akula - Chief Data and AI Officer (all AppDev/Product Development, Data, and AI/ML) at TriMedx
I thrive at the intersection of technical excellence and executive governance, where I turn ambiguous data challenges into real-world impact. I am driven to build high-performing, data-first organizations.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Held senior engineering and product leadership roles at Amazon and Google, managing large-scale global tech shared services.
Currently leading enterprise-wide data and AI product development while serving on advisory boards for venture capital firms.
Provides expert guidance on bridging complex technical infrastructure with board-level fiduciary oversight and digital transformation.
🚀 Career trajectory
Big Tech Foundations
Established technical rigor while delivering at the massive scale of Amazon and Google.
✦ Operational Excellence
✦ Scale Engineering
Executive Transition
Moved into pivotal C-suite roles at Alto Pharmacy and TriMedx to drive organizational change.
✦ C-Suite Leadership
✦ Transformational Change
Governance & Scaling
Currently scaling AI-led product development while serving in advisory board capacities.
✦ Board Governance
✦ AI-Driven Growth
💪🏻 Superpowers
Scalable Architectural Vision
Architecting systems for massive growth and global operational efficiency.
✦ Modernized infrastructure at Tier-1 tech giants for million-user scale.
✦ Synthesized AppDev and AI/ML roadmaps into unified technical strategy.
✦ AI-native architecture
Data-First Value Creation
Converting raw data assets into high-margin product capabilities.
✦ Spearheaded data transformations that directly accelerated business revenue.
✦ Balanced enterprise-grade security with agile development velocity.
✦ Ecosystems and flywheels
Executive Governance Leadership
Bridging technical execution with board-level fiduciary oversight.
✦ Advised multiple organizations on operational excellence and digital transformation.
✦ Aligned executive board expectations with engineering implementation realities.
I'm excited about
✦ Seeking high-impact opportunities to influence technical roadmaps at the board level.
✦ Connecting with peer executives to discuss the future of ethical AI implementation.
✦ Exploring advisory roles that challenge me to solve complex cross-industry scaling problems.
I can help with
✦ Mentoring engineering leaders on managing rapid technical scaling and organizational growth.
✦ Advising startups on translating data/AI concepts into defensible product strategies.
✦ Providing board-level perspectives on technology debt and risk management frameworks.
✦ Navigating Private Equity (PE) operator roles and influencing the board.
I would love your help on
✦ Connecting with peers navigating the transition from functional CTO to multi-board advisor.
✦ Gaining insights into emerging venture capital trends regarding AI-first healthcare investments.