.png){kind=logo}
Vetted Customer Segmentation Professionals
Pre-screened and vetted.
Senior Data Scientist specializing in NLP, anomaly detection, and recommender systems
Mid-level Data Scientist specializing in NLP, deep learning, and Generative AI
Mid-level Data Scientist specializing in NLP, predictive analytics, and healthcare/enterprise SaaS
Mid-level Paid Search Specialist specializing in SEM and multi-platform paid media
Mid-level Data Scientist / ML Engineer specializing in risk, fraud, NLP and recommender systems
Mid-level Machine Learning Engineer specializing in NLP, time-series forecasting, and edge AI
Mid-level AI/ML Engineer specializing in NLP, LLMs, and fraud/AML analytics
Mid-level Data Scientist specializing in pricing, revenue optimization, and operational efficiency
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Senior Cloud & DevSecOps Engineer specializing in AWS/Azure infrastructure automation
Mid-level Strategy & Operations Associate specializing in crypto trading infrastructure and analytics
Senior Marketing Leader specializing in B2B/B2C growth and go-to-market strategy
Mid-level Revenue Operations Analyst specializing in business analytics and Salesforce
Mid-level Applied AI Engineer specializing in Generative AI and RAG systems
Executive Product & Engineering Leader specializing in AI/ML and e-commerce platforms
Laxminarayana Yaga
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“Built and deployed a production RAG pipeline at PNC Financial Services to let risk/compliance analysts query millions of internal financial documents in natural language, reducing manual search and speeding regulatory validation. Demonstrates deep practical experience with large-scale document ingestion/OCR cleanup, retrieval performance tuning (hierarchical indexing, caching), and LLM reliability controls (grounding, citations, abstention), plus cloud orchestration on Azure and AWS.”
shubham patil
Mid-level AI Engineer specializing in Generative AI, RAG systems, and fraud analytics
“Built and deployed a RAG-based student/faculty support chatbot at a university that answers from official syllabus/policy documents and now supports 4,000+ students while reducing repetitive support requests. Hands-on with LangChain, LangGraph, and CrewAI to orchestrate reliable agentic workflows, with a strong focus on testing/monitoring in production and cross-functional delivery (e.g., marketing analytics automation at Steve Madden).”