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Vetted Sentiment Analysis Professionals
Pre-screened and vetted.
Executive Technology Leader (CTO/VP) specializing in cloud-native SaaS and AI/ML
Senior Python Developer / AI/ML Engineer specializing in cloud ML microservices
Senior GenAI Engineer specializing in enterprise LLM systems and RAG platforms
Senior Data Scientist specializing in GenAI, MLOps, and cloud data platforms
Mid-level AI/ML Engineer specializing in LLMs, RAG, and GenAI pipelines
Staff Full-Stack Engineer and Technical Lead specializing in cloud-native microservices
Mid-level Software Engineer specializing in backend systems, cloud platforms, and AI services
Senior Machine Learning Engineer specializing in GenAI and LLM-powered systems
Mid-level Data Scientist specializing in LLMs and applied machine learning
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 Machine Learning Engineer specializing in healthcare risk prediction and GenAI
Mid-level Machine Learning Engineer specializing in forecasting, NLP, and MLOps
Mid-level AI/ML Engineer specializing in risk modeling, NLP, and Generative AI
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Mid-level Data Scientist specializing in ML, NLP, and forecasting across finance and retail
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Senior Data Strategy & AI Product Consultant specializing in analytics platforms and privacy-safe measurement
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.”
Siva Pothuru
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and cloud-native ML
“LLM/agent engineer at USAA who built a production GPT-4o RAG conversational assistant for financial analysts, focused on regulatory interpretation and internal documentation search. Emphasizes compliance-grade reliability with strict grounding, safe fallbacks, and full auditability via MLflow/DVC plus human-in-the-loop review; reports ~45% reduction in ticket resolution time.”