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Vetted Elasticsearch Professionals
Pre-screened and vetted.
Senior Data Engineer specializing in Cloud Data Platforms and Generative AI
Senior Full-Stack .NET Engineer specializing in FinTech payments and event-driven microservices
Mid-level Software Developer specializing in full-stack and backend systems
Mid-level Full-Stack Engineer specializing in Java microservices and FinTech
Senior Full-Stack Engineer specializing in FinTech and Healthcare IT
Principal Software Engineer specializing in distributed systems and cloud-native backend platforms
Intern AI/Backend Engineer specializing in LLM agents and cloud microservices
Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products
Senior AI/ML Engineer specializing in LLMs and enterprise conversational AI
Director-level AI/ML engineering leader specializing in platform and product development
Senior Software Engineer specializing in backend systems and data engineering
Senior Software Engineer specializing in backend systems and FinTech screening platforms
Senior Software Engineer specializing in backend data platforms for FinTech
Senior Full-Stack Engineer specializing in cloud-native AI and SaaS platforms
Senior Full-Stack Engineer specializing in backend, cloud, and AI systems
Johnnie Sanders
Executive AI Architect specializing in enterprise cloud and FinTech solutions
“Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.”
Joshua Pinkerton
Senior Backend Engineer specializing in FinTech and distributed systems
“Backend-focused engineer with deep Java/Spring expertise in fintech and SaaS integrations, including high-scale financial data pipelines and partner-facing APIs. Most notably re-platformed a 100M+ record ETL system to a custom concurrent Spring Batch architecture that cut failures dramatically and reduced infrastructure costs by over 90%, while also leading enterprise-grade event-driven integrations for customers like Bosch and Amazon.”
Sasi Katamneni
Mid-level Data Scientist / AI-ML Engineer specializing in Generative AI and LLM applications
“Built a production GenAI-powered analytics assistant to reduce reliance on data analysts by enabling natural-language Q&A over Databricks/Power BI dashboards, backed by vector search (Pinecone/Milvus) and a Neo4j knowledge graph, including multimodal support via OpenAI Vision. Demonstrates strong real-world LLM reliability engineering with strict RAG, LangGraph multi-step verification, and Guardrails/custom validators, plus broad orchestration and production monitoring experience (Airflow, ADF, Step Functions, Kubernetes, Prometheus/CloudWatch).”