.png){kind=logo}
Vetted Anomaly Detection Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in recommendation systems and NLP
Mid-level Generative AI Engineer specializing in LLM orchestration, RAG, and agentic workflows
Mid-Level Software Engineer specializing in cloud-native microservices for healthcare and finance
Mid-level Data Scientist & AI Engineer specializing in healthcare and financial risk analytics
Senior Data Science & Machine Learning Engineer specializing in credit risk and predictive analytics
Mid-level Data Scientist specializing in GenAI, NLP, and recommendation systems
Mid-level AI/ML Engineer specializing in LLMs, forecasting, and MLOps deployment
Mid-level Software & ML Engineer specializing in cloud data platforms and MLOps
Mid-level AI/ML Engineer specializing in NLP, MLOps, and scalable ML platforms
Senior Data Scientist / ML Engineer specializing in NLP and Generative AI
Mid-level Data Scientist specializing in ML, NLP, and production AI workflows
Staff-level AI/ML Engineer specializing in enterprise RAG, agentic automation, and AI governance
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Mid-Level Software Engineer specializing in full-stack, data engineering, and ML
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and real-time ML pipelines
Mid-level Customer Success Engineer specializing in application security and FinTech integrations
Junior Research Data Scientist specializing in healthcare analytics and real-world evidence
Emmanuel Ngalima
Mid-Level Software Engineer specializing in geospatial AI and cloud security automation
“Cloud engineer and cloud OS SME (Chevron) who productionized large-scale security remediation—using Tanium and Ansible to address CIS benchmark noncompliance across 5,000+ servers with robust logging and RCA handoffs. Also drives adoption of a geospatial AI refinery inspection product by consolidating siloed imagery into an enterprise geospatial database, and presents internally on agentic/LLM tooling (LangChain/LangGraph, LangSmith observability).”
Pavan Kalyan
Mid-level AI Engineer specializing in GenAI agents and RAG for IT operations
“Built and operates a production LLM agent for enterprise IT operations that triages and drafts resolutions for high-volume ServiceNow tickets using LangChain + RAG (Pinecone/pgvector) and AWS Bedrock/OpenAI. Emphasizes reliability with schema-validated stages, offline eval datasets from real tickets, and CloudWatch-driven monitoring/guardrails; system scales to 40K+ tickets/month and cut resolution time ~28%.”