Maruthi Bhaskar
CTO, Learning Pair AI
Engineering leader and entrepreneur with end-to-end ownership of product, platform, and AI systems across enterprise and startup environments.
Grew revenue by 420% over two years with a business model for enterprise AI adoption
Built and scaled a product engineering organization through to public acquisition, operating within a 600+ enterprise environment
Architected and operated complex systems for Fortune 500 and high-growth companies, including Tesla, Samsung, Fiserv, Reckitt, and SurveyMonkey
Case Studies
Video-First Agentic Insurance Subrogation
2.5× revenue growth, 35% margin improvement, enabled instant payout business models
2024 - current
Knowledge Operating System for Manufacturing Design
25% YoY revenue growth (vs 11% historical), 15% delivery latency reduction, 50% fewer review cycles
2024 - 2025
WordPress Managed Services SaaS
60-90% MTTR reduction, 30% margin improvement, eliminated Tier-1 support
2024 - current
Thesis
AI adoption fails as often from poor execution as from weak technology application
AI delivery starts with understanding unit economics, value flow, and where decisions actually change outcomes
Reliability, learning, and explainability are prerequisites for AI systems that operate in real business environments
Good AI design considers humans as valued participants in learning and control loops, enabling further gains while retaining trust
Writing
Selected posts on AI delivery, engineering practice, and value measurement.
Encoding Enterprise Workflows into Agentic Long-Term Memory
A method of capturing human expertise using learn into memory
Using Epistemic Techniques to Improve Reliability in Agentic Systems
Applying multi-hypothesis thinking, evidentiary collection, and structured reasoning to improve reliability in agentic system design.
Goodhart’s Law in Practice: Why Metrics Must Evolve
Why KPIs in adaptive systems drift over time, and why AI makes understanding this temporal nature of KPIs urgent
Bio
How I work, lead, and what my optimal fit is
I focus on creating material, durable impact by shaping conditions where teams and systems compound value over time.
I am often brought into situations where direction is unclear; my role is to establish clarity, present viable options, and commit to a path grounded in business and technology constraints
I lead through clarity and reliability, strengthening alignment across functions rather than optimizing for authority or control.
My strengths are best applied where decisions matter and leadership is expected to drive meaningful forward momentum.