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Vetted Vector Search Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in generative AI and data engineering
Mid-level Solutions Engineer specializing in cloud data, AI, and healthcare analytics
Mid-level AI Engineer specializing in LLMs, RAG chatbots, and cloud AI testing
Junior Software Engineer specializing in AI, distributed systems, and recommendation systems
Senior Software Engineer specializing in AI-powered search and backend systems
Senior AI/ML Engineer specializing in conversational AI and contact center automation
Senior Full-Stack AI Engineer specializing in LLMs, RAG, and healthcare AI
Executive VP of Engineering specializing in FinTech platforms, cloud modernization, and AI/ML
Senior AI/ML Engineer specializing in Generative AI and conversational systems
Senior AI/ML Engineer specializing in LLM systems and conversational AI
Junior Software Engineer specializing in full-stack, cloud, and AI systems
Director-level Engineering Leader specializing in SaaS, cloud, and AI/ML
Junior AI Engineer specializing in enterprise LLM and FinTech systems
Principal software engineer and technical founder specializing in AI platforms
Ashutosh Choudhari
Mid-level AI/ML Engineer specializing in LLM applications and cloud-native systems
“LLM engineer who has shipped production AI systems, including an RFP requirements extraction platform (OpenAI o4-mini + Azure AI Search + FastAPI) achieving 90%+ accuracy and ~5x throughput through grounding, structured outputs, parallelization, and caching. Also partnered with legal/compliance stakeholders at Nexteer Automotive to deliver an AI document comparison tool with traceability and confidence indicators, adopted by non-technical users and saving ~2 FTEs of review time.”
Nandini Kosgi
Mid-level AI/ML Engineer specializing in LLMs, RAG, and fraud/risk analytics in Financial Services
“Built and shipped a production-grade GenAI Fraud & Compliance Investigation Copilot for a large US bank, integrating OCR docs, structured data, and prior case history to generate grounded, regulator-friendly summaries and red-flag highlights. Demonstrates strong end-to-end LLM systems engineering (LangGraph/LangChain, hybrid retrieval with FAISS+BM25, guardrails/citations, streaming/latency optimization) plus rigorous evaluation and close partnership with compliance stakeholders.”