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Vetted Visual Studio Code Professionals
Pre-screened and vetted.
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Senior Software Engineer specializing in cloud-native microservices and FinTech platforms
Mid-level AI & Machine Learning Engineer specializing in production ML and LLM applications
Senior Software Engineer specializing in cloud platforms, Kubernetes, and real-time streaming
Mid-level Software Engineer specializing in FinTech payments and compliance systems
Mid-level Software Engineer specializing in Cloud DevOps and MLOps
Mid-Level Full-Stack Software Engineer specializing in web apps, cloud, and data visualization
Mid-level AI/ML Engineer specializing in production ML, NLP, and computer vision
Mid-Level Software Engineer specializing in Java microservices and reactive systems
Mid-level AI/ML Engineer specializing in NLP, Computer Vision, and Generative AI
Mid-level AI/ML Engineer specializing in GenAI, MLOps, and big data on cloud platforms
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics
Senior Infrastructure Platform Architect specializing in hybrid cloud and Kubernetes automation
Senior Software Developer specializing in Python, AWS, and Big Data
Intern Software Engineer specializing in cloud, DevOps, and LLM-powered tooling
Mid-level Full-Stack Python Developer specializing in APIs, microservices, and cloud deployments
Engineering Manager specializing in backend platforms, risk systems, and FinTech
Mid-Level Software Engineer specializing in backend microservices and cloud automation
Entry-level Software Engineer specializing in data pipelines and applied AI
Nagatheja Sharaf
Mid-Level Software Engineer specializing in cloud-native systems, automation, and LLM-enabled robotics
“React-focused engineer who built a full-stack analytics/test-metrics dashboard (React frontend + Python backend) and turned common UI pieces (data tables, filter panels, chart wrappers) into a reusable internal component library with docs, examples, and basic tests. Strong on profiling-driven performance optimization (React Profiler, memoization) and on owning ambiguous internal-tool projects end-to-end; now planning to package internal patterns into public open-source components.”