.png){kind=logo}
Vetted Debugging Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in Python backends and modern web apps
Mid-level Full-Stack Java Developer specializing in cloud-native microservices and React
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native systems
Mid-level Quality Assurance Analyst specializing in game testing, compliance, and data-driven QA
Senior Software Engineer specializing in distributed backend systems
Mid-Level Full-Stack Software Engineer specializing in cloud and scalable web systems
Senior Support Engineer specializing in AI Search, LLMs, and Document Intelligence
Mid-Level Full-Stack Software Engineer specializing in React, Node.js, and AWS
Mid-Level Full-Stack Software Engineer specializing in Java, Spring Boot, and React
Senior Java Full-Stack Developer specializing in enterprise web apps and microservices
Senior QA Tester specializing in video game QA strategy and manual feature testing
Mid-level Software Engineer specializing in game engine and graphics performance
Mid-level Full-Stack Developer specializing in React and Python (Django/FastAPI)
Anshul Joshi
Mid-Level Software Engineer specializing in distributed systems and GenAI
“Capgemini engineer with 4+ years building and deploying high-availability, low-latency fraud detection APIs and multi-cluster distributed systems for a Fortune 20 bank, including zero-downtime production rollouts and multi-layer (SQL/network/hardware) performance debugging. Also built a Python + OpenAI/LangChain LLM-powered grading workflow for Austin School for Women, cutting feedback time from 90 minutes to 5 minutes per submission for 200+ learners.”
Satya Kumar Itekela
Senior Frontend Engineer specializing in high-performance React/Next.js web apps
“Frontend engineer with experience at Autodesk and Quantify, leading and scaling Next.js/React + TypeScript products from architecture through QA. Strong focus on performance (Core Web Vitals, ISR, caching/CDN) and real-time interfaces (WebSockets, Chart.js/D3), with measurable wins like 30–40% bundle reduction and ~60% less data overfetching using GraphQL/Apollo.”