.png){kind=logo}
Vetted Software Development Engineers
Pre-screened and vetted.
Staff Backend/Platform Engineer specializing in AI agents and SaaS infrastructure
Junior AI Software Engineer specializing in LLM applications and RAG systems
Senior Full-Stack Software Engineer specializing in Java, Spring Boot, React, and cloud microservices
Mid-Level Full-Stack Software Engineer specializing in cloud-native systems and DevOps
Mid-level Java/J2EE Developer specializing in cloud-native microservices
Mid-level Full-Stack Software Engineer specializing in cloud, microservices, and ML-ready platforms
Mid-level Software Engineer specializing in backend microservices and real-time data pipelines
Senior Machine Learning Engineer specializing in MLOps, fraud detection, and NLP
Junior Software Engineer specializing in autonomy, perception, and aerospace/defense systems
Senior Frontend/Product Engineer specializing in React, TypeScript, and dashboard UX
Mid-Level Software Engineer specializing in payments, risk analytics, and cloud-native microservices
Junior Full-Stack & Site Reliability Engineer specializing in cloud microservices
Mid-Level Full-Stack Software Engineer specializing in cloud and scalable web systems
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Nithin Reddy
Mid-Level Software Development Engineer specializing in distributed systems and event-driven architectures
“Built and maintained an internal JavaScript/React real-time event monitoring UI used by multiple Goldman Sachs teams (e.g., Private Wealth Management and Bulk Trading Systems). Focused on scaling performance under hundreds of events/sec—using profiling, memoization, batching, and debouncing—and paired it with strong internal documentation and disciplined incident diagnosis via synthetic load testing and logs/metrics.”
Senior Software Engineer specializing in robotics, ML, and full-stack web development
Naga Karumuri
Mid-Level Full-Stack Engineer specializing in AI and 3D computer vision
“Built and productionized an LLM-driven document verification workflow for a construction firm’s submittals process, moving from a Vercel/Next.js prototype to a FastAPI + LangChain/LangGraph backend with background workers and multi-server deployment. Uses LLM tools (e.g., OpenAI Codex/Cloud Code) for rapid development and log-driven root cause analysis, and partners with customer teams on evaluation metrics and iterative improvements.”