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Vetted Llama Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in credit risk, fraud detection, and NLP in financial services
Senior Data Scientist / ML Engineer specializing in computer vision and production ML systems
Junior Machine Learning Engineer specializing in computer vision and LLM applications
Junior Full-Stack Software Engineer specializing in ML, cloud infrastructure, and mobile apps
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and agentic RAG systems
Senior GenAI Engineer specializing in production LLM systems and agentic AI
Senior Data Scientist specializing in NLP, Generative AI, and predictive analytics
Principal Software Architect specializing in cloud-native SaaS and big data platforms
Mid-level AI Engineer specializing in agentic GenAI and cloud MLOps
Mid-level Data Scientist specializing in GenAI, LLM orchestration, and MLOps
Senior Data Scientist specializing in ML, fraud risk, and Generative AI (RAG/LLMs)
Junior Full-Stack Engineer specializing in AI agents, RAG, and distributed systems
Mid-level AI/ML Engineer specializing in conversational AI, NLP, and LLM-powered RAG systems
Manasa Pantra
Junior Software Engineer specializing in AI, LLM systems, and full-stack development
“Product-focused full-stack engineer at startup (Zippy) who shipped a production multi-agent AI system for restaurant operations plus payments workflows. Built end-to-end: RAG grounded on a Notion knowledge base, structured function-calling task routing, FastAPI/JWT multi-tenant backend, and a polished React+TypeScript owner dashboard. Has real production incident experience (duplicate Stripe webhooks) and reports ~94% task-routing accuracy under load.”
Vamsi Koppala
Mid-level Machine Learning Engineer specializing in Generative AI and RAG systems
“LLM/ML engineer who has shipped an enterprise RAG-based Q&A system (LangChain/LlamaIndex, FAISS + Azure Cognitive Search, GPT-3.5/4 via OpenAI/Azure OpenAI) to production on Docker + Kubernetes/OpenShift, tackling hallucinations, retrieval quality, latency/cost, and RBAC/IAM security. Also partnered with operations leaders to turn manual reporting into an LLM-powered summarization and forecasting dashboard driven by real KPIs and iterative stakeholder feedback.”
Parth Kasat
Mid-level Forward Deployed Engineer specializing in AI automation for finance and data platforms
“LLM/agentic workflow specialist with healthcare deployment experience who has taken LLM-based automation from prototype to production using operator-in-the-loop validation, RAG-style retrieval, RBAC, and monitoring for sensitive data compliance. Demonstrated real-time incident resolution (retrieval timeouts due to network/proxy misconfig) and strong GTM support—hands-on developer workshops and sales demos translating technical safeguards and real-time ETL into measurable ROI (70% ops reduction, ~$200K/year savings).”