Sudarshan Venkataraman โ CTO
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)โmoving 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. ๐๐ก๐ ๐ญ๐ซ๐๐๐ค ๐ซ๐๐๐จ๐ซ๐: - 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. ๐๐๐๐ฅ-๐๐จ๐ซ๐ฅ๐ ๐๐ฎ๐ญ๐จ๐ง๐จ๐ฆ๐ฒ: - 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. ๐๐ฒ ๐๐ก๐ข๐ฅ๐จ๐ฌ๐จ๐ฉ๐ก๐ฒ: - 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 AIโlatency, token costs, and distributed system reliabilityโto 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, letโs connect.
Stackforce AI infers this person is a SaaS architect specializing in AI-driven enterprise solutions.
Location: Bellevue, Washington, United States
Experience: 8 yrs 1 mo
Skills
- Generative Ai Architecture
- Agentic Ai Architecture
- Gen Ai Engineering
- Growth Engineering
- Telemetry Driven Rollouts
- Product Engineering - User Centric Architecture
- Unified Routing & Orchestration
- Systems Programming
Career Highlights
- Architected systems projected to save $500M in support costs.
- Pioneered Simulation-First Deployment culture.
- Engineered autonomous agents with 99.9% reliability.
Work Experience
Microsoft
Principal AI Engineering Manager (3 mos)
Senior AI Engineering Manager, D356 Customer Service | Architecting Fully Autonomous Contact Centers (2 yrs 3 mos)
Senior Software Engineer | Platform Architecture & Growth Engineering (1 yr 7 mos)
Software Development Engineer II - D365 Modern Admin & Experience Architecture (2 yrs)
Software Development Engineer | Core Platform & Unified Routing (2 yrs 1 mo)
Midfin Systems
Software Engineering Intern | Cloud Infrastructure & Distributed Systems (3 mos)
Hitachi Solutions India Pvt Ltd
Software Engineering Intern (3 mos)
Education
Master's degree at University at Buffalo
Bachelor's degree at Rajalakshmi Engineering College