Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production MLOps
Mid-level Machine Learning & Biostatistics professional specializing in healthcare AI
Mid-level Data Engineer specializing in cloud data pipelines and real-time streaming
Executive AI/CTO leader specializing in agentic LLM platforms and enterprise architecture
Mid-level AI/ML Engineer specializing in scalable ML systems and cloud MLOps
Executive Technology Leader (CTO/CIO) specializing in FinTech, cloud data architecture, and IT governance
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Mid-level Data Engineer specializing in cloud data pipelines and analytics platforms
Mid-Level Software Engineer specializing in cloud-native microservices and AI automation
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Mid-Level Software Engineer specializing in distributed systems and FinTech
Director-level Product Data Science leader specializing in experimentation and causal inference
Mid-Level Software Engineer specializing in cloud data platforms and full-stack web development
Mid-level AI/ML Data Engineer specializing in analytics, ML pipelines, and LLM applications
Executive CTO/VP Engineering specializing in high-performance AI, data systems, and distributed infrastructure
Mid-level Data Engineer specializing in cloud data platforms and real-time streaming
“Worked on onboarding a Middle East logistics client processing thousands of invoices/month, building a production-ready pipeline that routes known vendor PDFs to deterministic regex parsers via Tax ID matching and falls back to LlamaParse for unknown layouts. Added financial consistency validation plus human-in-the-loop review and logging/metrics to continuously reduce LLM usage and improve template coverage.”
Principal Engineer specializing in GenAI/LLM platforms and enterprise modernization
“Built a production LLM-driven personalization microservice for realtor.com using LangChain/LangSmith with an MCP tool layer and RAG to generate schema-constrained ranked listings in real time, replacing a rule-based engine and improving engagement/lead conversion. Also owned an ambiguous cross-channel identity initiative, implementing an identity graph via Twilio Unify with required SDK and data-warehouse integration.”