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Vetted Statistical Analysis Professionals
Pre-screened and vetted.
Intern AI/ML Engineer specializing in LLM agents, RAG, and applied ML
Mid-level Data Engineer specializing in LLM agents, RAG pipelines, and LLMOps
Senior Data Scientist specializing in healthcare economics, AI/ML, and cost forecasting
Mid-level Solutions Engineer specializing in data engineering, analytics, and AI
Senior Staff Data Scientist specializing in AI/ML and LLM-powered analytics
Mid-Level Full-Stack/Distributed Systems Engineer specializing in cloud microservices
Mid-level Full-Stack Software Engineer specializing in AI-enabled FinTech and compliance platforms
Senior Machine Learning Engineer specializing in LLMs, agentic AI, and MLOps
Mid-level Business Analyst specializing in product analytics and AI-enabled decision support
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
Mid-level Data Engineer specializing in AWS, Spark, and streaming data pipelines
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.”