Kumar Velugula

Founder

New York City, New York, United States21 yrs 6 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Founder of XNODE Inc. addressing AI needs in regulated industries.
  • 20+ years of experience in BFSI technology infrastructure.
  • Expert in AI governance and compliance for enterprise solutions.
Stackforce AI infers this person is a Fintech expert specializing in enterprise AI infrastructure for regulated industries.

Contact

Skills

Core Skills

Enterprise Ai PlatformsAi GovernanceCloud Infrastructure & CybersecurityTechnology Vision & LeadershipResearch PlatformsData EngineeringInvestment Research SystemsData PlatformsResearch EnablementApplied NlpTrading OperationsData WarehousingInvestment Banking SystemsRisk TechnologyEntrepreneurshipClient Delivery

Other Skills

Distributed SystemsOn-Prem & Hybrid ArchitectureRegulated InfrastructureMulti-agent SystemsMulti-agent orchestrationKnowledge graphsVector databasesEnterprise-grade RBACSOC 2 Type II complianceRevenue Generation StrategyTeam Building & OutsourcingInvestor Relations & Stakeholder CommunicationAsset Management TechnologyProduction SystemsAPI-Driven Architecture

About

After two decades building technology infrastructure for UBS, Point72, and AQR Capital, I saw the same pattern everywhere: enterprises in regulated industries desperately need AI, but hyperscalers can't meet their requirements. Banks can't send sensitive data to models on public clouds. Trading firms need on-premise deployment for latency and compliance. Healthcare organizations face HIPAA constraints that make cloud-only solutions non-starters. So I founded XNODE Inc. in 2023 to solve this. WHAT WE'RE BUILDING Cortx is an AI Control Plane that enables regulated enterprises to orchestrate multi-vendor AI systems while maintaining complete governance, security, and control. Think of it as an "AI Operating System" that works across OpenAI, Anthropic, AWS Bedrock, Azure, and open-source models—deployed on-premise or in private cloud. Key capabilities: - Multi-agent orchestration with knowledge graphs and vector databases - Enterprise-grade RBAC with audit trails for compliance - On-premise deployment with air-gapped options - SOC 2 Type II compliance pathway - Integration with existing enterprise systems (Teams, Slack, custom workflows) TRACTION Please reach out to me directly to learn more about our traction till date using the contact below. WHY THIS MATTERS The AI infrastructure market is bifurcating. Hyperscalers win for consumer and general business use cases. But regulated industries—representing trillions in market cap—need a different architecture. They need control, compliance, and on-premise options. That's the gap we're filling. I'm also supported by advisors including leaders in FinTech, banking infrastructure, and AI research. LET'S CONNECT If you're building or buying enterprise AI infrastructure for regulated industries, I'd love to connect. Particularly interested in speaking with: - VCs focused on enterprise AI infrastructure - CIOs/CTOs at banks, trading firms, and healthcare organizations - Technical leaders solving AI governance and compliance challenges - Executives navigating on-premise vs. cloud trade-offs Reach out via DM or email: kumar@xnode.ai "The future of enterprise AI isn't cloud-only. It's hybrid, governed, and built for compliance from day one."

Experience

21 yrs 6 mos
Total Experience
3 yrs 3 mos
Average Tenure
3 yrs
Current Experience

Xnode inc.

Founder

May 2023Present · 3 yrs · Delaware, United States · Remote

  • Building Cortx, an enterprise AI control plane for regulated industries that can't use hyperscaler solutions due to data residency, compliance, and on-premise deployment requirements.
  • The Problem
  • Banks, trading firms, and healthcare organizations need AI but face constraints that make cloud-only solutions non-viable: data residency requirements, air-gapped environments, latency constraints, and compliance frameworks that AWS, Azure, and Google can't satisfy.
  • What Cortx Does
  • Enables enterprises to orchestrate multi-vendor AI systems (OpenAI, Anthropic, AWS Bedrock, Azure, open-source models) with complete governance and control:
  • On-premise and hybrid cloud deployment architectures
  • Multi-agent orchestration with knowledge graphs and vector databases
  • Enterprise-grade RBAC with comprehensive audit trails
  • SOC 2 Type II compliance pathway and air-gapped deployment options
  • Native integration with enterprise systems (Teams, Slack, custom workflows)
  • Technical Foundation
  • Built on distributed computing infrastructure, graph databases, fine-grained authorization systems, and multi-cloud capabilities. Designed for regulated enterprises requiring control, compliance, and security.
  • Why I'm Uniquely Positioned
  • 20+ years building technology infrastructure for UBS, Point72, and AQR Capital gives me deep domain expertise in the compliance, latency, and security requirements that drive enterprise architecture decisions in regulated industries.
  • Traction
  • Production deployments underway with trading firms and financial institutions. Currently raising seed round to scale go-to-market and accelerate enterprise adoption.
Enterprise AI PlatformsDistributed SystemsAI GovernanceOn-Prem & Hybrid ArchitectureRegulated InfrastructureMulti-agent Systems

Entrustody

Chief Technology Officer

May 2022Apr 2023 · 11 mos · Boston, Massachusetts, United States · Remote

  • Led technology strategy for a FinTech startup, directly contributing to revenue generation and first enterprise customer acquisition.
  • Key impact
  • Secured the company’s first paying customer with a multi-year contract
  • Helped establish early ARR and customer credibility
  • Defined technology roadmap aligned with regulatory and operational requirements
  • Leadership & execution
  • Designed secure, scalable cloud architecture aligned with financial services compliance
  • Led outsourced engineering teams and customer implementations
  • Partnered closely with business leadership on vendor selection and product positioning
Cloud Infrastructure & CybersecurityRevenue Generation StrategyTechnology Vision & LeadershipTeam Building & OutsourcingInvestor Relations & Stakeholder Communication

Aqr capital management

Manager

Feb 2020Apr 2022 · 2 yrs 2 mos · Greenwich, Connecticut, United States

  • Built and scaled Fixed Income Research Technology platforms supporting quantitative research and portfolio implementation.
  • Responsibilities
  • Partnered with investment teams and senior technology leadership
  • Delivered greenfield data and research platforms
  • Improved reliability, data accessibility, and research workflows for portfolio teams
Research PlatformsData EngineeringAsset Management TechnologyProduction Systems

Point72

2 roles

Manager

Dec 2016Jan 2020 · 3 yrs 1 mo · Stamford, CT

  • Led Market Intelligence Research Technology supporting multiple investment and research business lines across the firm.
  • Scope
  • Broker relations, internal research, data sourcing, trade ideation, quantamental strategies, and venture initiatives
  • Delivered firm-wide platforms used by investment professionals and external partners
  • Leadership
  • Managed global onshore and offshore teams
  • Worked directly with senior business and technology leaders
  • Delivered high-visibility platforms with strong service and reliability expectations
Investment Research SystemsData PlatformsAPI-Driven ArchitectureGlobal Team Leadership

Vice President

May 2014Nov 2016 · 2 yrs 6 mos · Stamford, CT

  • Led internal research technology platforms for fundamental investment teams.
  • Highlights
  • Built systems supporting research workflows, consultant engagement, invoicing, and compliance-approved publishing
  • Developed desktop and mobile tools for investment professionals
  • Led early NLP initiatives for sentiment analysis on unstructured research content
Research EnablementData PlatformsApplied NLPEnterprise Application Development

Sac capital

Vice President

Jul 2012Apr 2014 · 1 yr 9 mos · Stamford,CT

  • Led Investment Services technology supporting management reporting and trading operations.
  • Contributions
  • Built logical data warehouse for SEC filings and performance metrics
  • Integrated front-office trade allocations with back-office systems
  • Delivered mission-critical reporting and operational tooling
Trading OperationsData WarehousingFinancial Systems Integration

Gosoft solutions llc

Founder and Director

Oct 2005Oct 2009 · 4 yrs · Norwalk, CT

  • Founded and operated a technology services firm delivering custom enterprise solutions.
  • Highlights
  • Built and managed a team of engineers
  • Delivered healthcare and public-sector software solutions
  • Generated consistent annual revenue and repeat clients
EntrepreneurshipClient DeliveryCustom Software Solutions

Eldib engineering & research

Technomics Engineer (Intern)

Mar 2004Aug 2004 · 5 mos · Berkeley Heights, NJ

  • Supported market and cost analysis research for industrial and energy technology companies.
  • Focus
  • Financial and operational modeling
  • Research supporting M&A positioning

Ubs investment bank

Senior Developer

Jan 2004Jan 2012 · 8 yrs · Stamford, Connecticut, United States

  • Built and supported front-office and risk technology systems within investment banking.
  • Work
  • Risk reporting systems feeding middle-office and control functions
  • Trading and pricing interfaces contributing market data to external platforms such as Bloomberg
  • High-availability systems operating under strict regulatory oversight
Investment Banking SystemsRisk TechnologyHigh-Reliability Platforms

Education

Stanford University School of Engineering

Advanced Cybersecurity Program — Cyber Security

Jun 2022May 2023

MIT Professional Education

Technology Leadership Program — Technology Strategy

Jul 2021Jun 2022

Columbia Business School

Master of Business Administration - MBA

Jan 2017Jan 2019

Ohio University

Master of Science (M.S.) — Chemical Engineering

Jan 2001Jan 2003

Andhra University

Bachelor of Technology (B.Tech.) — Chemical Engineering

Jan 1996Jan 2000

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