Vetted Software Engineers

Sri Yogesh Dorbala

Screened

Engineering Manager / Tech Lead specializing in large-scale distributed systems

Seattle, WA8y exp

“Software engineer focused on personalization and data/ML infrastructure who built a GenAI/LLM-driven carousel ranking system end-to-end, delivering a reported 6–7% order-rate lift. Also designed large-scale personalization ETL (15PB for ~100M users) and created a custom Airflow operator to integrate with Databricks under enterprise version constraints, with hands-on on-call and data-quality reliability improvements.”

“Founder building an enterprise agentic AI startup who has already raised about $100K (friends & family plus self-funding). Has prior and current experience engaging VCs (including outreach to both large and small firms) and emphasizes demo-driven pitching, enterprise customer validation, and targeting billion-dollar market opportunities.”

Diego Leyton

Screened

Senior Software Engineer specializing in AR/VR, metaverse, and game development

Menlo Park, CA14y exp

“Unity/C# gameplay engineer from Horizon Worlds with deep experience shipping multiplayer VR and mobile features, especially scalable real-time animation and object interaction systems. Stands out for redesigning a high-overhead RPC-based animation pipeline into a deterministic client-side playback architecture that reduced network load, improved stability in complex worlds, and enabled previously unpublishable worlds to ship.”

Zheng Liu

Screened

Executive engineering leader specializing in AI platforms and FinTech

Seattle, WA13y exp

“Engineering and product leader who currently owns both functions at Enzzo and previously served as a founding/head of engineering leader at Imprint, helping scale the company from seed to Series C. Stands out for combining customer-driven product strategy with hands-on technical execution, including an early AI/open-source LLM solution to reduce the time and cost of persona-based user research.”

“Full-stack front-end leaning engineer who built a browser-based SMS engagement platform for student outreach at NextGen Nest, integrating Twilio, React, Node.js, PostgreSQL, and Socket.IO. They pair product impact with practical debugging and UI quality work, including fixing elusive third-party browser issues and rebuilding inaccessible React components into more reliable, state-driven interfaces.”

RAMAKRISHNA JULURI

Screened

Executive Technology Leader (SVP/VP/CTO) specializing in cloud-native platforms and AI modernization

Seattle, WA28y exp

“Engineering leader with experience across MSCI (Index business), Microsoft Teams (callings/meetings), and MSN Weather. Has led business-aligned roadmaps, scaled orgs (including an ~80-person Teams org during COVID demand surge), and delivered Azure-based, multi-region architectures achieving ~2000 RPS and 99.9% availability with improved RTO/RPO.”

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.”