Vetted Waterfall Professionals

Revanth P

Screened

Mid-level DevOps Engineer specializing in AWS, Azure, Kubernetes, and GenAI infrastructure

Walnut Creek, CA4y exp

“Database/platform engineer with stronger hands-on experience in AWS and Azure than GCP, but able to speak credibly about cloud database architecture, automation, and reliability engineering. They led an on-prem MySQL to RDS/DynamoDB migration, built Terraform/Python-based zero-touch database operations, and described a performance incident where latency dropped from 2s to under 300ms while supporting 2x traffic.”

“Frontend engineer who led an internal React + TypeScript admin dashboard end-to-end, including a collaboratively owned component system and complex RBAC/permissions workflows. Emphasizes scalable architecture and correctness using React Query (mutations + query invalidation), centralized permission logic, and TypeScript for safe evolution, plus performance tuning for data-heavy tables and pragmatic MVP-driven delivery with gradual rollouts.”

“Unity VR/XR developer with shipped Meta Quest experience spanning UI, monetization, and content creation. Built multiple themed racing worlds end-to-end (tracks, lighting, decals, pickups) and independently developed a VR exploration/storytelling experience that premiered in a museum exhibit. Also experiments with conversational AI, including a dynamic antagonistic dialogue system and audio-detection-driven gameplay elements.”

Nima Shariatzadeh

Screened

Junior Web Developer specializing in React and UI/UX

Edmonton, AB2y exp

“Frontend engineer who led a React + TypeScript scientific-results wiki end-to-end, coordinating multiple developers and maintaining quality through continuous reviews and user testing. Has experience optimizing web performance when using Three.js/Blender 3D assets and managing releases with non-breaking merges and rollbacks. Also delivered a user storage feature with QA, staged iteration, and client-driven prioritization.”

“Analytics professional with hands-on experience building SQL and Python workflows that turn messy multi-system data into reliable reporting. They’ve delivered measurable impact through automation and customer retention analytics, including cutting month-end reporting from 5 days to 1 day and supporting a churn reduction of about 12%.”