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Vetted D3.js Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in LLM applications and cloud-native systems
Senior Full-Stack Java Engineer specializing in cloud-native microservices and GenAI
Mid-Level Full-Stack Software Engineer specializing in FinTech and data visualization
Mid-level Full-Stack Engineer specializing in FinTech web applications
Mid-level Full-Stack Developer specializing in cloud-native web apps and FinTech integrations
Mid-Level Software Engineer specializing in cloud-native microservices and fraud detection
Senior Business Analyst specializing in GRC, enterprise risk management, and ServiceNow IRM
Senior Python Developer specializing in full-stack platforms and AI/ML integrations
Senior Full-Stack Engineer specializing in Python backends and modern web apps
Mid-Level Full-Stack Software Engineer specializing in Healthcare and E-commerce
Mid-level Full-Stack Developer specializing in Java/Spring and cloud-native microservices
Senior Software Engineer specializing in distributed systems, microservices, and cloud platforms
Staff/Lead Full-Stack Software Engineer specializing in Java microservices and React on Azure
Senior Full-Stack AI/ML Engineer specializing in personalization, NLP, and GenAI platforms
Junior Front-End/Full-Stack Software Engineer specializing in accessible web applications
Mid-level Full-Stack Developer specializing in React and Python (Django/FastAPI)
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.”
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.”