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Vetted Performance Tuning Professionals
Pre-screened and vetted.
Junior Software Development Engineer specializing in AWS cloud and distributed systems
Mid-level Full-Stack Developer specializing in cloud-native microservices
Sujit Singh
Engineering Director specializing in backend & data platforms for enterprise SaaS and cybersecurity
“Backend/data engineering player-coach on a UEBA cloud security analytics platform who standardized MLOps and detection development for 180+ detections, cutting ship time from 6–7 weeks to ~3 weeks while reducing false positives. Proven at operating large-scale streaming + Spark systems (200K+ events/sec, 100+ TB/day), driving major reliability/cost improvements, and leading incident response and team execution through GA.”
Mid-Level Software Engineer specializing in cloud-native backend systems and FinTech
Senior Game Developer specializing in Unreal Engine, Unity, and WebGL multiplayer
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Director-level Backend & Data Engineering Leader specializing in AWS serverless platforms
Senior Engineering Leader specializing in FinTech infrastructure and cryptographic security
Senior Machine Learning Engineer specializing in LLM inference and GPU infrastructure
Senior Software Engineer specializing in cloud-native microservices and observability
Shilong Li
Intern Software Engineer specializing in backend and distributed systems
“Backend engineer with experience at ByteDance (TikTok monetization) and Baidu, plus a personal real-time course booking/tracking platform built with FastAPI, Postgres, and Redis. Demonstrates strong concurrency and reliability engineering (Redis distributed locks with TTL extension, idempotent event processing) and practical DevOps skills (Kubernetes/Helm, GitLab CI/CD, Docker build-time optimization).”
Senior Full-Stack Engineer specializing in Next.js, React, and TypeScript
Mid-Level Software Engineer specializing in cloud platforms and data engineering
Senior Full-Stack Engineer specializing in cloud-native .NET microservices
Senior Full-Stack Engineer specializing in Healthcare and FinTech platforms
Senior Software Engineer specializing in full-stack platforms, MLOps, and LLM search
Mid-Level Full-Stack Software Developer specializing in AWS cloud and automation
Senior Data Engineer specializing in cloud data platforms and real-time analytics
Alexander Choy
Director of AI/ML Engineering specializing in MLOps, data platforms, and 3D computer vision
“Backend/data engineer focused on production ML/LLM systems: built a real-time FastAPI inference API on Kubernetes with strong reliability patterns (timeouts, idempotent retries, centralized error handling). Delivered AWS platforms using EKS + Lambda with GitHub Actions/Helm CI/CD and built Glue-based ETL from S3/Kafka into Snowflake with schema evolution and data-quality controls; also modernized legacy analytics/recommendation workflows into Python services with safe, feature-flagged cutovers.”
Shawn Williams
Mid-Level Backend Engineer specializing in AWS serverless and data processing
“Amazon Prime Video backend engineer who built and operated high-traffic Python/FastAPI services and AWS-native data/batch systems. Demonstrates strong production reliability and incident ownership (CloudWatch/X-Ray), plus measurable performance wins (8s to <200ms query latency, ~40% CPU reduction) and cost-focused architectures (Lambda + ECS/Fargate with Fargate Spot).”
Peifeng Hu
Junior Software Development Engineer specializing in AWS distributed systems and data orchestration
“Backend/platform engineer with deep AWS experience who built a high-reliability ingestion platform (Lambda + Step Functions + DynamoDB) that became the single source of truth for training/qualification certification data across an AU region, handling high-volume async updates with strong consistency controls. Also led a major API migration from Lambda to ECS/Fargate to eliminate cold starts and increase throughput, and has hands-on EKS/Kubernetes operations plus Kafka partitioning/ordering expertise.”