Krishna Halaharvi

About Krishna Halaharvi

I build two things: high-performing engineering teams and platforms that move the business forward. Over 13+ years across startups and enterprise, I\'ve focused on the engineering decisions that actually move revenue, which architecture to bet on, which technical debt to pay down, which features to kill.At Pluralsight, I lead AI platform and governance. I\'m building the foundation for how our engineering org adopts agentic AI safely: the gateway architecture, SOC 2-aligned governance frameworks, and the agentic engineering practices that let our teams work alongside AI coding agents without losing the plot on quality or security.Proven Impact: AI Platform & Governance: Architected enterprise AI gateway handling 100K+ daily transactions with 99.9% uptime; established SOC 2-aligned AI governance framework. Product & Revenue: Built $15M ARR enterprise insights platform zero-to-one, partnering directly with Product and GTM. Team Scaling: Grown engineering organizations from 3 to 20+ multiple times, establishing cultures of ownership and high velocity. Platform & DevEx: Drove 30-40% productivity gains through developer platform standardization and AI-assisted workflows. Architectural ROI: Led micro-services migration achieving 78% infrastructure cost reduction while improving uptime to 99.9%.I thrive in high-ownership environments where engineering decisions drive business outcomes. What excites me most right now: helping engineering orgs navigate the shift from AI-assisted to AI-native development without breaking their security posture or delivery velocity.Core Expertise: AI Governance, Agentic Engineering, Platform Architecture, Zero-to-One Product, Team Scaling, Engineering Strategy.

Experience

1. Senior Engineering Manager, Ai & Platform Services

   Pluralsight

   Apr 2025 — Present · Austin, TX, US

   Leading AI infrastructure transformation and data analytics architecture across multi-vertical product lines (AI, Platform, Video, Analytics). Hands-on leader writing production code while scaling an engineering organization from 8 to 20+ engineers.Established AI governance and compliance framework aligned with SOC 2 and enterprise security requirements, in partnership with Security and legal. Owned Anthropic vendor relationship and end-to-end administration of Claude Enterprise which includes: SSO integration, security controls, enterprise rollout, employee enablement, and usage analytics. Scaling an agentic AI tool from procurement to org-wide adoption.Set engineering practices and strategy for AI adoption within the SDLC, enabling upskilling across the engineering organization. Partnered with AI/ML functions to build the foundation for AI product development, model development, and evals on AWS Bedrock. Defined the organization\'s agentic engineering practices spec-driven development, multi-agent orchestration, and AI governance guardrails, establishing how engineering teams work with AI coding agents at scale.

Education

• University of Minnesota Duluth

  Bachelor of Science, Computer Science

  2008 — 2012

Skills

• Photography
• Microsoft Excel
• Software Development
• Agile Methodologies
• Javascript
• Visual Studio
• Node.js
• Windows
• Sql
• Asp.net
• Software Engineering
• Databases
• Network Programming
• C++
• Ruby on Rails
• Mongodb
• Amazon Web Services (Aws)
• C#
• Ruby