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Vetted Performance Tuning Professionals
Pre-screened and vetted.
Senior Backend Engineer specializing in industrial automation and real-time streaming
Mid-level Full-Stack Developer specializing in cloud-native microservices (FinTech & Healthcare)
Mid-level Java Full-Stack Developer specializing in Spring Boot microservices and React
Mid-level Full-Stack .NET Engineer specializing in cloud, APIs, and data analytics
Senior Full-Stack Engineer specializing in AI, computer vision, and real-time systems
Mid-level Full-Stack Developer specializing in scalable web apps and cloud-native APIs
Senior Full-Stack Software Engineer specializing in FinTech and Healthcare IT
Mid-level Full-Stack Developer specializing in cloud-native web apps and microservices
Mid-Level Full-Stack .NET Engineer specializing in cloud, APIs, and data analytics
Junior Full-Stack Software Engineer specializing in backend, cloud, and AI systems
Director-level Engineering Leader specializing in scalable cloud platforms and real-time AI systems
Iskhak Ishmakhametov
Mid-level Full-Stack Software Engineer specializing in FinTech and real-time systems
“Full-stack product engineer with a strong real-time systems focus: built and rolled out a WebSocket-based notifications system (with robust reconnect/resync and event ordering protections) that cut update latency to under 200ms. Also owned a workflow automation platform backend in FastAPI (JWT/RBAC, versioned APIs, standardized errors), designed the PostgreSQL schema for workflows/tasks/executions, and operated deployments on AWS ECS Fargate with blue-green CI/CD and performance stabilization via caching and autoscaling.”
Shubham Chandrakant Phatale
Mid-level Flutter Engineer specializing in cross-platform UI systems
“Frontend-focused engineer who built the entire UI architecture for a GenAI product as the sole founding engineer, shipping a unified experience across iOS, Android, and web. Stands out for combining cross-platform Flutter expertise with browser-level performance tuning, accessibility, and design-system thinking, including measurable wins like 45% faster load times, 94% accessibility, and dramatically faster engineer onboarding.”
Sana Khan
Mid-Level Software Developer specializing in cloud-native microservices, iOS, and ML deployment
“Backend engineer with production ERP experience deploying microservices and improving performance/reliability using a metrics-driven approach (logs, latency, error rates). Has hands-on cloud/hybrid operations across AWS and Azure with Docker/Kubernetes, and has resolved real-world mobile sync issues by tuning timeouts/retries and reducing payload sizes. Builds configurable Python services to deliver customer-specific behavior without destabilizing the core codebase.”
Lokeshwar Reddy Gummireddy
Mid-level Backend Engineer specializing in Python APIs, event-driven systems, and Kubernetes
“Backend Python engineer who owned a real-time manufacturing insights streaming service, building FastAPI async microservices with Kafka-style queue buffering, batching/backpressure, and a low-latency snapshot store. Led a serverless-to-Kubernetes (EKS) migration at UGenomeAi using GitOps-style GitHub Actions pipelines, standardized config/secrets, and improved deployment consistency with pinned dependencies and multi-stage Docker builds.”