Sudarshan Venkataraman

CTO

Bellevue, Washington, United States8 yrs 1 mo experience
AI EnabledHighly Stable

Key Highlights

  • Architected systems projected to save $500M in support costs.
  • Pioneered Simulation-First Deployment culture.
  • Engineered autonomous agents with 99.9% reliability.
Stackforce AI infers this person is a SaaS architect specializing in AI-driven enterprise solutions.

Contact

Skills

Core Skills

Generative Ai ArchitectureAgentic Ai ArchitectureGen Ai EngineeringGrowth EngineeringTelemetry Driven RolloutsProduct Engineering - User Centric ArchitectureUnified Routing & OrchestrationSystems Programming

Other Skills

Simulation-First EngineeringMulti-Agent orchestrationAI governance & RAIPrompt engineering at scaleLLM Evals & Simulation frameworksSimulation First Deployment strategyGo-to-Market StrategyPlugin architecture & solution layeringTeams middle-tier integrationCross domain integrationTelemetry Driven DevelopmentCross-tenant Resource orchestrationState management & Cloud architectureOmnichannel ArchitectureEnterprise SaaS modernization

About

The era of "Chatbots" is over. The era of "Agentic Autonomy" is here. I don't just build AI that talks; I build AI that acts. As a Senior Engineering Leader at Microsoft, I am architecting the Fully Autonomous Contact Center (FACC)โ€”moving the enterprise world from "Copilots" that assist humans to Autonomous Agents that do the work for them. My team builds the digital workforce of the future. We engineer the Case Processing Agents (CMA) and Knowledge Harvesting Engines that autonomously resolve millions of complex customer issues with 99.9% reliability. We are replacing operational toil with intelligent, reliable execution. ๐“๐ก๐ž ๐ญ๐ซ๐š๐œ๐ค ๐ซ๐ž๐œ๐จ๐ซ๐: - I specialize in taking "Moonshot" AI concepts and hardening them into mission-critical enterprise systems at scale - orchestrated the architecture for Async Agents handling 257 Million+ executions with 99.94% reliability. - Impact: Engineered the autonomous systems projected to drive $500M+ in support cost savings for Microsoft. ๐‘๐ž๐š๐ฅ-๐–๐จ๐ซ๐ฅ๐ ๐€๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐ฒ: - Partnered with global giants from Fortune 100 to deploy L3 Agents that reduce operational overhead by up to 80%. - GenAI Velocity: Re-architected Knowledge Harvesting to reduce content authoring time by 88% (4 hours โ†’ 32 mins) while maintaining 75%+ accuracy. ๐Œ๐ฒ ๐๐ก๐ข๐ฅ๐จ๐ฌ๐จ๐ฉ๐ก๐ฒ: - Simulation-First: You cannot debug GenAI in production. I pioneered a Simulation-First Deployment culture, using massive-scale LLM evaluations to guarantee agent behavior before a single customer is impacted. - Hardware Empathy: Autonomy at scale requires efficiency. I optimize the "physics" of AIโ€”latency, token costs, and distributed system reliabilityโ€”to ensure our agents are profitable, not just smart. - Zero-Trust Autonomy: I build systems with "Security-by-Design," implementing Invoker-Based Identity and granular Role-Based Access Control (RBAC) to ensure agents never overstep their boundaries. I am building the bridge between Generative AI potential and Production Reality. If you are interested in the future of Agentic Systems, Autonomous Operations, or AI Engineering at Scale, letโ€™s connect.

Experience

8 yrs 1 mo
Total Experience
8 yrs 1 mo
Average Tenure
8 yrs 1 mo
Current Experience

Microsoft

5 roles

Principal AI Engineering Manager

Promoted

Feb 2026 โ€“ Present ยท 3 mos

Generative AI ArchitectureSimulation-First EngineeringAgentic AI ArchitectureMulti-Agent orchestrationGen AI engineeringAI governance & RAI

Senior AI Engineering Manager, D356 Customer Service | Architecting Fully Autonomous Contact Centers

Promoted

Dec 2023 โ€“ Mar 2026 ยท 2 yrs 3 mos

  • ๐๐ข๐จ๐ง๐ž๐ž๐ซ๐ข๐ง๐  ๐ญ๐ก๐ž "๐…๐ฎ๐ฅ๐ฅ๐ฒ ๐€๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐จ๐ฎ๐ฌ" ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ๐ฎ๐ซ๐ž:
  • The Innovation: Architected the Case Management Agent (CMA) and Caseless Knowledge Harvesting engine. This sentinel system autonomously reads, enriches, and resolves customer issues without human intervention.
  • The Scale: Scaled Async Agent operations to 257 Million+ executions with 99.94% reliability.
  • The Value: Engineered the systems projected to save $500M in support costs, replacing manual operational toil with intelligent Agentic workflows.
  • ๐ƒ๐ž๐ฅ๐ข๐ฏ๐ž๐ซ๐ข๐ง๐  ๐„๐ง๐ญ๐ž๐ซ๐ฉ๐ซ๐ข๐ฌ๐ž ๐‹๐Ÿ‘/๐‹๐Ÿ’ ๐€๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐ฒ:
  • The Win: Led the strategic "Zero-to-One" implementation, designing custom L3/L4 agents to target an 80% reduction in operational costs.
  • The Metric: Deployed "Case Follow-Up" agents to production handling 30%+ production volume, achieving a 17% increase in throughput and 94% UAT pass rate.
  • The Tech: Orchestrated the "V2 Connector" architecture that unblocked long-running custom agents, enabling true "fire-and-forget" automation for Fortune 500 customers.
  • ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ข๐ง๐  "๐†๐ž๐ง๐€๐ˆ-๐š๐ญ-๐’๐œ๐š๐ฅ๐ž":
  • The Performance: Optimized "Caseless Knowledge Harvesting" to reduce authoring time by 88% (from 4 hours to 32 mins) while maintaining 75%+ accuracy.
  • The Reliability: Achieved 4-Nines (99.99%) Reliability for critical Async ARC plugins, ensuring that "Agentic AI" is not just experimental, but mission-critical ready.
  • The Security: Led the "Security-First" AI implementation, designing the authentication model for Invoker-Based Creds to honor strict Dataverse role privileges for autonomous agents.
  • ๐‚๐ฎ๐ฅ๐ญ๐ฎ๐ซ๐ž & ๐‹๐ž๐š๐๐ž๐ซ๐ฌ๐ก๐ข๐ฉ:
  • The Transformation: Reshaped the org culture into an "AI-First" unit, introducing Simulation-First Deployment and LLM Evals as standard engineering practices.
  • My team builds the 'digital workers' that act with 99.9% reliability, driving a fundamental shift in how the world's largest companies handle customer service.
Agentic AI ArchitectureMulti-Agent orchestrationGen AI engineeringPrompt engineering at scaleLLM Evals & Simulation frameworksSimulation First Deployment strategy+2

Senior Software Engineer | Platform Architecture & Growth Engineering

May 2022 โ€“ Dec 2023 ยท 1 yr 7 mos

  • ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ข๐ง๐  "๐๐ซ๐จ๐๐ฎ๐œ๐ญ-๐‹๐ž๐ ๐†๐ซ๐จ๐ฐ๐ญ๐ก" (๐“๐ก๐ž "๐ƒ๐ž๐Ÿ๐š๐ฎ๐ฅ๐ญ ๐Ž๐ง" ๐’๐ญ๐ซ๐š๐ญ๐ž๐ ๐ฒ):
  • The Strategy: Led the technical execution of the "Default On" initiative for Teams Embed Chat, orchestrating changes across 18 different repositories and architectures.
  • The Metric: Propelled user adoption to 200,000+ Monthly Active Users (MAU) and 30,000+ Daily Active Users, driving a 37% engagement rate (users starting new linked chats).
  • The Safety Net: Architected the "Feature Control Settings" (FCS) framework, enabling granular "Geo-filtering" and "Tenant-Whitelisting." This allowed us to control features for specific government clouds (GCC/DoD) without rolling back code, ensuring 99.99% release stability.
  • ๐‡๐ฒ๐ฉ๐ž๐ซ-๐’๐œ๐š๐ฅ๐ž ๐๐ž๐ซ๐Ÿ๐จ๐ซ๐ฆ๐š๐ง๐œ๐ž ๐Ž๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง:
  • The Problem: A strategic customer (MSC) with 3M+ accounts faced unacceptable 14-second search latencies, blocking a critical go-live.
  • The Impact: Reduced latency by 78% (from 14s to <3s), enabling a successful Day-1 launch for 224 agents creating 200+ cases daily.
  • The Binary Optimization: Slashed plugin assembly size by ~50% (19MB to <10MB), preventing platform "explosion" and enabling future extensibility for the Bot Connector.
  • ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ๐ข๐ง๐  "๐‚๐ซ๐จ๐ฌ๐ฌ-๐๐จ๐ฎ๐ง๐๐š๐ซ๐ฒ" ๐ˆ๐ง๐ง๐จ๐ฏ๐š๐ญ๐ข๐จ๐ง๐ฌ:
  • Join Me on Teams: Architected the solution infrastructure for the "Join Me on Teams" launch, enabling seamless screen-sharing initiation from voice calls. Scaled to 42,000+ meetings across 2000 orgs.
  • ๐‚๐ซ๐š๐œ๐ค๐ข๐ง๐  ๐ญ๐ก๐ž "๐‚๐ซ๐จ๐ฌ๐ฌ-๐“๐ž๐ง๐š๐ง๐ญ" ๐๐š๐ซ๐ซ๐ข๐ž๐ซ (๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ ๐‚๐Ÿ ๐‚๐ก๐š๐ญ):
  • The Challenge: Agents were blocked from chatting with customers on external tenants, forcing them to switch tools and lose context.
  • The Architecture: Spearheaded a "Zero-to-One" R&D initiative to breach this boundary. I architected a novel integration using Substrate APIs, MS Graph, and the Teams Middle Tier, successfully bypassing standard tenant isolation protocols.
Growth engineeringTelemetry driven rolloutsPlugin architecture & solution layeringTeams middle-tier integrationCross domain integration

Software Development Engineer II - D365 Modern Admin & Experience Architecture

May 2020 โ€“ May 2022 ยท 2 yrs

  • ๐ˆ๐ง๐ฏ๐ž๐ง๐ญ๐ข๐ง๐  ๐ญ๐ก๐ž "๐†๐ฎ๐ข๐๐ž๐ ๐’๐ž๐ญ๐ฎ๐ฉ" (๐“๐ก๐ž "๐“๐ฎ๐ซ๐›๐จ๐“๐š๐ฑ" ๐Ÿ๐จ๐ซ ๐„๐ง๐ญ๐ž๐ซ๐ฉ๐ซ๐ข๐ฌ๐ž):
  • The Metric: Slashed "Zero-to-Live" contact center deployment time by 95% (from >24 hours to <30 minutes).
  • The UX Overhaul: Reduced administrative friction from 80 clicks to <16 clicks, eliminating the need for 5+ documentation articles per deployment.
  • The Scale: Achieved immediate product-market fit with 426 production deployments across 236 enterprise organizations within weeks of the preview launch.
  • ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ๐ข๐ง๐  ๐ญ๐ก๐ž ๐‚๐ฎ๐ฌ๐ญ๐จ๐ฆ๐ž๐ซ ๐’๐ž๐ซ๐ฏ๐ข๐œ๐ž ๐€๐๐ฆ๐ข๐ง ๐‚๐ž๐ง๐ญ๐ž๐ซ (๐‚๐’๐€๐‚):
  • The work: Architected the admin experience with over 64 controls in a seamless cohesive UI
  • The Growth: Led the engineering of the Unified Admin App that scaled to 850,000+ Monthly Active Users (MAU) immediately post-GA.
  • The Quality: Engineered a "Zero Footprint" E2E automation suite achieving 100% test coverage for critical paths without polluting production tenants.
  • The Reach: Managed the localization architecture for 500k+ unique content strings, ensuring seamless global rollout across all supported markets.
  • ๐๐ข๐จ๐ง๐ž๐ž๐ซ๐ข๐ง๐  "๐…๐ข๐ซ๐ฌ๐ญ-๐๐š๐ซ๐ญ๐ฒ" ๐‚๐ฅ๐จ๐ฎ๐ ๐ˆ๐ง๐ญ๐ž๐ ๐ซ๐š๐ญ๐ข๐จ๐ง (๐€๐ณ๐ฎ๐ซ๐ž + ๐ƒ๐ฒ๐ง๐š๐ฆ๐ข๐œ๐ฌ):
  • The Innovation: Engineered the "Azure-to-Dynamics" bridge, allowing admins to provision Azure Communication Services (ACS) resources directly within the CRM.
  • The Result: Filed a patent for this cross-cloud provisioning logic , which became the architectural backbone of the "All-in-One Digital Contact Center" launched at Ignite 2021.
  • ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ข๐ง๐  ๐‚๐ฎ๐ฅ๐ญ๐ฎ๐ซ๐ž & ๐•๐ž๐ฅ๐จ๐œ๐ข๐ญ๐ฒ:
  • The Efficiency: Created a "7-Day Ramp-Up" buddy program roadmap that enabled new hires to ship production code in <2 weeks (vs. the standard 12 weeks).
  • The Standard: Delivered one of the most complex custom controls in the organization with Zero Accessibility (A11Y) violations at launch, setting a new bar for inclusive engineering.
Product Engineering - User centric architectureTelemetry Driven DevelopmentCross-tenant Resource orchestrationState management & Cloud architecture

Software Development Engineer | Core Platform & Unified Routing

Apr 2018 โ€“ May 2020 ยท 2 yrs 1 mo

  • ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ข๐ง๐  ๐‘๐ž๐ฏ๐ž๐ง๐ฎ๐ž ๐’๐ญ๐ซ๐ž๐š๐ฆ๐ฌ ๐š๐ญ ๐’๐œ๐š๐ฅ๐ž:
  • Orchestrated the "Buy Online, Pickup In-Store" (BOPIS) architecture for Australia, unlocking $126k in immediate revenue (7% of total region revenue) and creating a reusable blueprint adopted across EU, CA, and GB markets.
  • Scaled support infrastructure for Xbox Mixer, seamlessly onboarding 20 million active users to Microsoft Support by engineering a lightweight profile payload system.
  • ๐Ž๐ฉ๐ž๐ซ๐š๐ญ๐ข๐จ๐ง๐š๐ฅ ๐„๐ฑ๐œ๐ž๐ฅ๐ฅ๐ž๐ง๐œ๐ž & ๐€๐ฎ๐ญ๐จ๐ฆ๐š๐ญ๐ข๐จ๐ง:
  • Eliminated PayOps escalations (reduced to zero) by designing the "Multi-Refund" feature for CMAT, enabling agents to batch-process 100+ transactions instantly. This solved a critical bottleneck flagged by senior leadership.
  • Revolutionized Developer Velocity (DevOps): Slashed environment provisioning time by 85% (from 5 hours to <60 mins), enabling faster iteration loops for the entire Knowledge Management (KM) org.
  • ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ๐ข๐ง๐  "๐™๐ž๐ซ๐จ-๐ญ๐จ-๐Ž๐ง๐ž" ๐๐ฅ๐š๐ญ๐Ÿ๐จ๐ซ๐ฆ๐ฌ:
  • Pioneered the Unified Routing & Modern OmniChannel Admin experience. Led the end-to-end integration from inception to Private Preview in just 4 months. Delivered a "moment in history" feature that allowed customers to configure voice routing in minutes rather than days.
  • Architected the "Standalone Search" engine, decoupling Knowledge Management from legacy case contexts. This moved the product toward a true "Application-Platform" separation, directly driving increase Monthly Active Users (MAU) by ~300k and enabling smoother incremental updates.
  • ๐๐ฎ๐š๐ฅ๐ข๐ญ๐ฒ & ๐‚๐ฎ๐ฅ๐ญ๐ฎ๐ซ๐ž ๐‹๐ž๐š๐๐ž๐ซ๐ฌ๐ก๐ข๐ฉ:
  • Fortified System Reliability: Automated "Fortification Testing" for Tier-1 agents, reducing post-deployment Live Site incidents to near zero and establishing the "Gold Standard" for the Service Desk test pipeline with API reliability at ATH 99.999% for over 30M whilst ensuring product is WCAG 2.1 compliant by instrumenting accessibility testing scalable infra
Unified Routing & OrchestrationOmnichannel ArchitectureEnterprise SaaS modernizationHigh-volume transaction systemsResiliency Engineering

Midfin systems

Software Engineering Intern | Cloud Infrastructure & Distributed Systems

Jun 2017 โ€“ Sep 2017 ยท 3 mos ยท Greater Seattle Area ยท On-site

  • ๐‡๐ข๐ ๐ก-๐๐ž๐ซ๐Ÿ๐จ๐ซ๐ฆ๐š๐ง๐œ๐ž ๐’๐ญ๐จ๐ซ๐š๐ ๐ž ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ข๐ง๐  (๐‚๐ž๐ฉ๐ก & ๐๐œ๐š๐œ๐ก๐ž):
  • The Problem: The Ceph Storage Cluster was hitting I/O bottlenecks.
  • The Solution: Engineered a kernel-level caching layer by implementing Bcache (B-tree based caching), this bridged the gap between fast SSDs and high-capacity HDDs.
  • The Impact: Boosted cluster throughput by 50% and slashed read/write latency by 52.6%, directly improving the performance of downstream applications.
  • ๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐  ๐ญ๐ก๐ž "๐Œ๐ข๐ ๐ซ๐š๐ญ๐ข๐จ๐ง ๐๐ซ๐ข๐๐ ๐ž" (๐†๐จ๐ฅ๐š๐ง๐  & ๐•๐ข๐ซ๐ญ๐ฎ๐š๐ฅ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง):
  • The Problem: Migrating VMs from VMware ESX to KVM required heavy downtime or expensive proprietary tools.
  • The Solution: Built a ground-up Agentless Migration Toolkit in Golang. Reverse-engineered the VMware vSphere API to utilize "Changed Block Tracking" (CBT), enabling low-level incremental backups.
  • The Impact: Achieved near-zero downtime migrations for mission-critical workloads, effectively removing vendor lock-in.
  • ๐‡๐ฒ๐›๐ซ๐ข๐ ๐‚๐ฅ๐จ๐ฎ๐ ๐„๐๐ ๐ž-๐€๐ˆ ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ๐ฎ๐ซ๐ž:
  • The Problem: Streaming raw video data to the cloud was cost-prohibitive (bandwidth & storage).
  • The Solution: Architected an Edge-First Video Analytics Pipeline. I used OpenCV for local motion detection (filtering noise at the source) and optimized transport using WebSockets and WebM encapsulation.
  • The Impact: Reduced cloud ingress and storage costs by 40โ€“50%, proving the viability of "Smart Streaming" for large-scale surveillance grids.
Systems ProgrammingGoLangB-tree caching algorithmsQEMU-KVMEdge Computing

Hitachi solutions india pvt ltd

Software Engineering Intern

Jan 2016 โ€“ Apr 2016 ยท 3 mos ยท Chennai Area, India

  • Software Engineering Intern
  • โ— Devised and executed : Created ERP solution for Hospital Management systems with customization in inventory management module for effective resource tracking and in HR management module for record maintenance using Microsoft Dynamics AX 2012 - Version R3
  • โ— Optimized Dynamics AX application lifecycle : Boosted the performance of the above mentioned ERP solution by using Lifecycle services that incorporated automation of best practices to ensure faster deployment and delivery of higher quality functionality

Education

University at Buffalo

Master's degree โ€” Computer Science

Jan 2016 โ€“ Jan 2018

Rajalakshmi Engineering College

Bachelor's degree โ€” Information Technology

Jan 2012 โ€“ Jan 2016

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