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Vetted Load Testing Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in real-time Unity and scalable backend services
Senior QA Engineer specializing in test automation, API testing, and performance testing
Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms
Senior Software Engineer specializing in video streaming and media platforms
Senior QA Engineer specializing in POS and payment processing systems
Mid-level Software Engineer specializing in backend systems and LLM-powered AI applications
Senior SDET specializing in UI/API automation and cloud-native quality engineering
Senior Full-Stack Software Engineer specializing in cloud microservices and GenAI
Senior Full-Stack Software Engineer specializing in cloud-native platforms and gaming systems
Mid-level Software Engineer specializing in AI, data engineering, and cloud systems
Mid-level QA Engineer specializing in manual and automation testing for web, mobile, and APIs
Mid-level Backend/Data Engineer specializing in legal data pipelines and APIs
Omkar Bhope
Staff Full-Stack Engineer specializing in AI platforms and infrastructure automation
“Backend/full-stack engineer building complex internal platforms and customer-facing demos at the intersection of infrastructure and product. Shipped a no-code Product Lifecycle Manager for manufacturing (3 manufacturers, 1000+ evolving tests) using AWS S3/SQS ingestion and extensible Postgres (EAV+JSONB) with end-to-end traceability. Also built a FastAPI-based company data intelligence platform with Okta-secured RBAC and an LLM/MCP layer for ChatGPT-like analytics over enterprise data sources.”
Kurt Servito
Senior QA Analyst specializing in AAA and indie game testing across PC and console
“Game QA professional who shipped AAA (Overwatch 2) as quality feature owner for Campaign missions, owning high-risk areas like mission progression stability and preventing soft-lock/state desync issues. Also shipped Stormgate and caught a critical Steam achievement integration failure near RC by recreating the issue in an anti-cheat, live-mirroring environment and driving it through fix + regression verification.”
Jeffrey Lin
Mid-Level Software Engineer specializing in Cloud Platform & Automation
“Software engineer at Wrap who built production AWS Lambda services for large-scale Parquet dataset generation (50k+ records) and a synthetic traffic/lead generation system using Python, Playwright, and Jenkins. Also built and deployed a full-stack hobby product (MyAnimeListRanker) that ingests MyAnimeList user data and uses an Elo-based ranking workflow, with operational guardrails like rate limiting and monitoring via Vercel/logs.”
Christopher Song
Junior AI/ML Engineer specializing in real-time computer vision and tracking systems
“Full-stack engineer who built and owned a production real-time computer-vision inference platform at Credence, spanning Next.js App Router/TypeScript frontend with SSE/WebSocket streaming, a Flask backend, and Postgres analytics. Demonstrated measurable performance wins (70% fewer re-renders; latency cut to ~40–50ms) and strong production rigor (durable orchestration, idempotency, observability, AWS EC2 + CI/CD) with tight post-launch UX iteration based on analyst feedback.”
Mithilesh Gaurihar
Mid-Level Software Engineer specializing in Java microservices and cloud-native systems
“Full-stack engineer (SAP Labs experience) who built an end-to-end, real-time fraud detection system on Java 11/Spring Boot microservices with Kafka event streaming and a React/Redux analytics dashboard with WebSocket updates. Demonstrated strong production ownership by diagnosing a critical memory leak with Prometheus/CloudWatch + heap dumps and improving performance with Redis caching (40% faster queries), while also modernizing deployments via Kubernetes, Jenkins CI/CD, and Terraform.”
Sunil Chinthaparthi
Mid-level Python Developer specializing in AWS microservices and cloud automation
“Backend engineer focused on Python/FastAPI microservices running on Kubernetes (AWS EKS) with strong GitOps/CI/CD ownership (GitHub Actions + ArgoCD). Demonstrated measurable performance wins (p95 latency cut from >1s to <200ms) and production reliability work across Kafka/Redis streaming and cloud-to-on-prem migrations (RDS/S3 to Postgres/MinIO) using parallel validation and checksum-based consistency checks.”