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Vetted Multi-Agent Systems Professionals
Pre-screened and vetted.
Mid-level AI Engineer specializing in autonomous agents and AI security
Junior Investment Analyst specializing in equity research and venture due diligence
Mid-level AI Engineer specializing in Generative AI and NLP
Mid-level Software Engineer specializing in backend systems and healthcare AI
Mid-level AI Engineer specializing in GenAI, RAG, and multi-agent systems
Executive Applied AI & Venture Builder specializing in Enterprise SaaS and Healthcare
Mid-level Robotics Researcher specializing in robot learning and human-robot interaction
Junior Full-Stack Engineer specializing in AI automation and LLM integration
Mid-Level Software Engineer specializing in backend microservices and distributed systems
Junior Backend and AI Engineer specializing in regulated healthcare and legal systems
Junior Software Engineer specializing in distributed systems and AI applications
Principal AI & Cloud Architect specializing in banking and healthcare platforms
Intern Full-Stack/AI Engineer specializing in LLM applications and cloud-native web systems
Mid-level Data Scientist specializing in recommendations, search relevance, and NLP
Mid-level Software Engineer specializing in AI and cloud data platforms
Junior Software Engineer specializing in backend systems and logistics data pipelines
Senior Data Strategy & AI Product Consultant specializing in analytics platforms and privacy-safe measurement
Tushar Jayendra Mhatre
Intern Data Scientist/ML Engineer specializing in generative AI and ML platforms
“AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.”
Anju Vilashni Nandhakumar
Entry-level Machine Learning Engineer specializing in RAG and NLP systems
“Built a 24/7 Python/LangChain email agent in production with validation, circuit breakers, human-review escalation, and structured observability. Also applied data and automation skills at Community Dreams Foundation, including turning a vague donor-insights request into a usable donor-risk prediction workflow and raising ETL reliability from roughly 85% to 99% by diagnosing SQLite concurrency issues.”
Vikas Katuru
Junior Full-Stack AI Engineer specializing in GenAI and secure data systems
“Backend-leaning full-stack engineer who has built AI-powered analytics products from 0→1, including a predictive analytics dashboard and an AI orchestrator for natural-language-to-database querying. Particularly strong in making LLM systems production-safe through schema validation, self-healing retries, monitoring, and retrieval optimization, with quantified impact on cost, latency, and quality.”