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Vetted Sentiment Analysis Professionals
Pre-screened and vetted.
Mid-level AI Software Engineer specializing in agentic AI, RAG, and data engineering
Mid-level AI/ML Engineer specializing in cloud MLOps, LLM agents, and risk & fraud modeling
Mid-level Strategy & Operations Associate specializing in crypto trading infrastructure and analytics
Senior Data Scientist specializing in ML engineering and cloud analytics
Mid-level AI/ML Engineer specializing in generative AI and cloud ML platforms
Junior ML and Full-Stack Engineer specializing in AI/ML applications
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.”
Mid-level Full-Stack Developer specializing in cloud-native microservices and AI/ML integration
Senior Full-Stack Python & AI Engineer specializing in FinTech and real-time platforms
Mid-level AI/ML Engineer specializing in cloud MLOps and scalable model deployment
Senior GenAI Engineer specializing in LLM agents and insurance automation
Mid-level AI Engineer specializing in NLP, computer vision, and MLOps
Abdallah Al-Zubi
Senior Machine Learning Engineer specializing in NLP, computer vision, and edge AI
“AI/LLM engineer who built a production RAG-based Text2SQL engine using Qdrant, including creating the underlying business/DB documentation, generating a test dataset, and designing detailed SQL-quality metrics for validation. Also partnered with non-technical stakeholders on a speech recognition project to prioritize medical terminology, improving accuracy through targeted corpora, lookup-table correction, and fine-tuning with a modified loss function.”
Poojitha Vajja
Mid-level Data Scientist / ML Engineer specializing in healthcare predictive analytics and NLP
“Built and deployed a real-time hospital readmission risk prediction system at NYU Langone Health, combining structured EHR data with BERT-based NLP on clinical notes and serving predictions to clinicians via Azure ML and FHIR APIs. Emphasizes production reliability and clinical trust through SHAP-based explainability and robust healthcare data preprocessing, and reports a 22% reduction in 30-day readmissions.”