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Vetted Software Engineers in the Greater Seattle
Pre-screened and vetted in the Greater Seattle.
Kaiqi Zhang
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI applications
“ML/LLM engineer with hands-on experience shipping production RAG systems at Google Clinical Search and GenAI recommendation/summarization features in Meta Ads. Stands out for combining research-to-production execution with rigorous grounding, evaluation, safety checks, and reusable Python platform components that improved both reliability and team velocity.”
Senior Software Engineer specializing in distributed systems and high-scale backend platforms
Senior Full-Stack Engineer specializing in Python back ends and cloud-native systems
Senior AI/ML Engineer specializing in LLM applications, RAG systems, and MLOps
Danny Anop
Senior Full-Stack Engineer specializing in SaaS, e-commerce, and frontend platforms
“Frontend-leaning full-stack engineer who has built a multi-tenant AI-powered widget and admin dashboard platform used across 40+ merchant websites. Strong in TypeScript/Next.js/GraphQL systems design, reusable platform primitives, and cross-layer debugging, with a clear track record of shipping scalable product experiences under ambiguity.”
Somya Upadhyay
Senior Software Engineer specializing in cloud infrastructure and large-scale data pipelines
“Backend engineer on Amazon’s Geospatial Data team (Amazon Maps) who built a real-time road-layer service ingesting third-party and internal signals to deliver road closures/traffic overlays to delivery drivers on a ~3-minute cadence while minimizing mobile data egress. Demonstrates strong production reliability skills (rate limiting, idempotency, cache stampede prevention) and security depth (IAM, RBAC, tenant row-level security), plus careful handling of edge cases like manual override protection against automated feed overwrites.”
Senior Backend/Data Engineer specializing in ads event processing and attribution
Senior Software Engineer specializing in Python backend and applied AI platforms
Senior Full-Stack Software Engineer specializing in cloud automation and applied AI
Senior Software Engineer specializing in cloud observability and video streaming
Senior Software Engineer specializing in cloud infrastructure, payments, and AI products
Senior Software Engineer specializing in large-scale distributed cloud systems
Senior Software Engineer specializing in enterprise AI/LLM integration and full-stack systems
Senior Python Engineer specializing in cloud infrastructure, media services, and IoT
Senior Full-Stack Software Engineer specializing in ML platforms and privacy-preserving ads
Senior Machine Learning Engineer specializing in Generative AI and NLP
Senior Software Engineer specializing in Siri/Maps conversational AI evaluation
Senior AI/ML Engineer specializing in generative AI and recommendation systems
Senior Full-Stack Software Engineer specializing in cloud-native web apps and AdTech analytics
Sri Yogesh Dorbala
Engineering Manager / Tech Lead specializing in large-scale distributed systems
“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.”
RAMAKRISHNA JULURI
Executive Technology Leader (SVP/VP/CTO) specializing in cloud-native platforms and AI modernization
“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
Senior Software Engineer specializing in Azure cloud, identity, and networking
“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.”