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Vetted Semantic Search Professionals
Pre-screened and vetted.
Senior Data Scientist / Machine Learning Engineer specializing in production AI systems
Senior Generative AI Engineer specializing in LLM platforms, RAG, and MLOps
Mid-level AI Engineer specializing in LLM agents, RAG, and knowledge graphs
Junior Machine Learning Engineer specializing in computer vision, LLMs, and geospatial AI
Mid-level Full-Stack Developer specializing in cloud-native and AI-powered platforms
Senior Generative AI Engineer specializing in RAG, LLM fine-tuning, and AI agents
Mid-level AI/ML Engineer specializing in LLM fine-tuning, NLP, and MLOps
Mid-Level Software Engineer specializing in full-stack development and LLM/GenAI systems
Senior Data Scientist specializing in ML search, recommendations, and generative AI
Junior Software Engineer specializing in AI/ML and FinTech systems
Mid-level AI/ML Engineer specializing in GenAI, RAG, and cloud-native ML platforms
Mid-level AI Engineer specializing in LLM agents, RAG, and enterprise GenAI
Mid-level AI Engineer specializing in LLM orchestration and production AI systems
Executive CTO/VP Engineering specializing in high-performance AI, data systems, and distributed infrastructure
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.”