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Vetted Sentiment Analysis Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud ETL and real-time analytics
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and deep learning
Mid-level Full-Stack Developer specializing in Java Spring Boot microservices and React
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and MLOps
Mid-level Data Scientist / GenAI Engineer specializing in LLMs, RAG, and MLOps
Mid-level Data Analyst & ML Engineer specializing in GenAI, NLP, and cloud data pipelines
Mid-level Data Scientist specializing in customer analytics, ML pipelines, and churn forecasting
Mid-Level Software Developer specializing in FinTech and AI-enabled systems
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Mid-Level Full-Stack Software Engineer specializing in FinTech and AI risk scoring
Mid-level AI Engineer specializing in LLM agents, RAG, and enterprise GenAI
Mid-level AI Data Scientist specializing in financial risk, fraud detection, and NLP/LLM systems
Intern Software Engineer specializing in cloud governance and distributed systems
Senior Data Scientist specializing in Generative AI, NLP, and MLOps
Mid-level AI Engineer specializing in LLM orchestration and production AI systems
Abhishikth Meesala
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”