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Vetted Semantic Search Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in event-driven microservices and GenAI for payments
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic AI
Staff-level AI/ML Engineer specializing in enterprise RAG, agentic automation, and AI governance
Senior Data Scientist specializing in ML, fraud risk, and Generative AI (RAG/LLMs)
Mid-level Data Engineer specializing in cloud lakehouse and streaming platforms
Mid-level GenAI/ML Engineer specializing in LLM agents, RAG, and document intelligence
Mid-level AI/ML Engineer specializing in Generative AI agents and enterprise analytics
Senior AI/ML Engineer specializing in Generative AI and conversational systems
Junior Full-Stack Engineer specializing in AI agents, RAG, and distributed systems
Senior Full-Stack Software Engineer specializing in AI and cloud-native SaaS
Senior Software Engineer specializing in cloud-native distributed systems and FinTech
Mid-level GenAI/ML Engineer specializing in LLMs, RAG, and agentic AI
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.”
Senior Machine Learning Engineer specializing in AI systems, LLMs, and MLOps
Jayadeep Nukala
Mid-level Software Engineer specializing in enterprise AI and FinTech integrations
“Built and deployed an enterprise AI testing solution at a startup, then customized and scaled it inside Citigroup over the course of a year to support 40+ projects and 1,000+ daily users. Brings hands-on production experience with multi-agent LLM workflows, RAG, enterprise deployment infrastructure, and real-world incident handling in AI-driven data pipelines.”