Vetted Engineering Professionals

Sai Anirudh Kondaveeti

Screened

Senior Software Engineer specializing in Azure cloud, identity, and networking

Redmond, WA7y exp

“Backend/cloud engineer with deep Azure and distributed-systems experience: owned an end-to-end Python multi-orchestrator config generator (Contrail) spanning OpenStack/vCenter/OpenShift/Kubernetes via a translation-layer approach. Built GitOps-style ARM-template infrastructure and CI/CD with automated testing, including a zero-downtime Databricks-to-Synapse migration using parallel production validation. Worked on Microsoft Azure Identity gateway (reverse proxy for auth) and executed ring-based deployments for major platform migration.”

“Backend/full-stack engineer with experience building large-scale systems on Salesforce and eBay, including a sharded Oracle-backed personalization store used by millions of sellers and a Spring Boot microservice that executes scheduled payouts at high volume. Emphasizes production readiness via state-machine-based idempotency, strong observability (Splunk/Elasticsearch/PagerDuty), and extensive Selenium/Sauce Labs automation.”

“Backend/AI engineer currently at Stripe building Minions, an internal LLM-based developer agent that automates code generation, bug fixes, and PR creation. They combine strong production LLM architecture skills with reliability engineering, having improved routine PR merge times by ~40-45%, lowered post-merge bug rates by 12%, and previously built an invoice-processing pipeline that achieved 91% straight-through processing in a B2B payments context.”

“Product leader at Intuit/QuickBooks Workforce who built an AI-powered conversational agent for payroll and time entry, a high-stakes workflow where mistakes directly affect whether workers get paid correctly. Stands out for combining multimodal AI, RAG, and human-in-the-loop confirmation with strong UX judgment, delivering measurable outcomes including a 60% drop in worker complaints and a 30% faster path to action.”

“XR/gameplay engineer with shipped work across HoloLens, Oculus/Quest, Vive, and mobile/web platforms. Most notably built the Remote Assist annotation system used in NASA space station repair workflows, and has hands-on experience integrating LLM-driven behavior systems and Photon-based multiplayer features with strong focus on determinism, latency, and performance.”