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Vetted FAISS Professionals
Pre-screened and vetted.
Senior Staff Full-Stack Engineer specializing in AI copilots and cloud platforms
Mid-level AI/ML Engineer specializing in LLM, RAG, and multimodal systems
Senior AI/ML Engineer specializing in healthcare LLMs and conversational AI
Senior Full-Stack Engineer specializing in cloud platforms and applied AI
Mid-level AI/LLM Engineer specializing in generative AI and ML systems
Mid AI/Machine Learning Engineer specializing in LLMs, NLP, and Computer Vision
Mid-level AI Software Engineer specializing in Generative AI and FinTech
Mid-level Machine Learning Engineer specializing in fraud detection and recommendations
Mid-level Agentic AI & ML Engineer specializing in LLM agents and RAG systems
Staff AI & Data Engineer specializing in LLM systems and real-time data platforms
Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI for fraud detection
Senior AI Engineer specializing in healthcare and FinTech AI systems
Senior Applied AI Engineer specializing in LLMs, RAG, and computer vision
Senior AI & Systems Architect specializing in ML infrastructure and FinTech
Kevin Allen
Senior AI/ML Engineer specializing in conversational and generative AI
“Built and productionized an LLM-based support assistant end-to-end, including RAG, APIs, monitoring, guardrails, and agent feedback loops. Stands out for translating GenAI prototypes into reliable production systems with structured evaluation, safety controls, and reusable Python infrastructure that improved both support quality and engineering velocity.”
Balpreet Kaur
Junior Machine Learning Engineer specializing in LLMs and data pipelines
“Research Extern at Google DeepMind and former AWS Software Development Engineer Intern with a strong focus on practical, trustworthy AI engineering. Built a multi-agent RAG system for personalized news headline generation using a fine-tuned Flan-T5 model, parallel critic agents, FAISS retrieval, and style embeddings, while also leading a 3-person team on the project.”
Suraj Botcha
Intern AI/ML Engineer specializing in LLM systems and industrial AI
“Full-stack AI engineer who has built both document-intelligence products and agentic investigation systems end to end. At ControlRooms.AI, they helped ship a production-facing root cause investigation workflow for industrial operations using Neo4j, FastMCP, RAG, OCR/VLM inputs, and multiple LLMs, contributing to roughly a 10x reduction in manual investigation time. They stand out for designing explainable, traceable AI systems that surface evidence, uncertainty, and missing context rather than forcing overconfident answers.”