Umashankar Kotturu brings 30+ years of technology leadership spanning enterprise-scale delivery and founder-level business building across the United States and India — and began his career on the mainframe at Goldman Sachs.
He worked hands-on across IDMS, the Trade Position Management System (TPMS), and Margin, and implemented solutions supporting Private Wealth Management, GSAM, and Tax/TEFRA. That early grounding in GS’s own core trade and position processing estate gives him a first-hand understanding of the systems, data structures, and operational sensitivities that mainframe elimination programs have to work around.
As leader of Apexon’s global Agentic AI practice, he is applying that experience to the problem most enterprise technology leaders are wrestling with: moving agentic AI from pilots into production systems that are governed, trusted, and economically defensible. His practice drives three disciplines directly relevant to legacy elimination at scale. Harness engineering embeds AI across the full software lifecycle — build, test, deployment, and governance designed in from the first commit — with golden paths and agentic pods that pair human engineers with AI capability to deliver velocity that still holds up under audit. Cognitive architecture with ontology applies formal ontologies and knowledge graphs to capture what the business actually means, extracting decision-relevant context from legacy estates while keeping data sovereignty central. Small and domain-tuned language models are treated as a genuine design choice, blending frontier models with open-weight, expert-tuned models deployed inside the enterprise or at the edge — critical where regulated workloads cannot leave the perimeter.
His broader career spans mobility, cloud computing, IoT, machine learning, NLP, and agentic AI. He has carried significant P&L responsibility, sustained long-term CEO and CXO relationships, and led the acquisition and integration of a US company. He has also sat on the other side of the table as founder-CEO of a healthcare startup in India, with a successful exit. That combination of enterprise scale and founder instinct informs a pragmatic techno-commercial approach — focused on genuine product-market fit rather than technology in search of a problem — and a track record of building high-performance teams by aligning internal and external stakeholders around customer-centric value.
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