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Vetted FAISS Professionals
Pre-screened and vetted.
Senior Data Scientist specializing in Generative AI, NLP, and ML for banking and healthcare
Mid-level Full-Stack Software Engineer specializing in cloud backend and AI infrastructure
Mid-level Data Scientist specializing in LLMs and NLP for financial analytics
Mid-level Data Analyst specializing in ML, AI, and data visualization
Mid-level Data Scientist & AI/ML Engineer specializing in GenAI and LLM-driven enterprise systems
Mid-Level Generative AI Engineer specializing in LLM apps, RAG, and cloud deployment
Senior AI and Full-Stack Engineer specializing in LLM-powered microservices
Mid AI/ML Engineer specializing in MLOps, deep learning, and cloud ML systems
Senior AI/ML Engineer specializing in LLM, NLP, and production ML systems
Senior AI Architect specializing in Generative AI and LLM systems
Director-level Engineering Leader specializing in cloud platforms, AI/ML, and scalable SaaS
Senior Data Scientist specializing in NLP, MLOps, and cloud ML platforms
Senior AI Python Engineer specializing in Generative AI and MLOps
Aniruddha Rajnekar
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native systems
“Full-stack engineer with about 3 years of experience who is deeply hands-on with AI-assisted development and agentic systems. Built TubeAgent using LangChain, Ollama, FAISS, and Llama 3, and has demonstrated measurable impact by cutting review time by 90% and reducing deployment time from 30 minutes to under 5 minutes at NC State. Combines practical experimentation with strong architectural thinking around resilient, composable AI systems.”
Pravallika Kilari
Mid-level AI/ML Engineer specializing in NLP, GenAI, and MLOps in healthcare and finance
“AI/ML engineer with CVS Health experience deploying production LLM systems in regulated healthcare settings, including a large-scale RAG solution (1M+ documents) built for compliance-grade, auditable policy/regulatory Q&A with strong anti-hallucination controls. Also delivered an NLP summarization system for physician notes/case narratives by partnering closely with non-technical care operations stakeholders and iterating via prototypes, dashboards, and feedback loops.”
Saikrishna Paila
Junior AI Engineer specializing in RAG pipelines and agentic AI systems
“Built and shipped production RAG/agentic systems in high-stakes domains (biomedical and legal), including an enterprise biomedical document retrieval platform over ~10k scientific docs and a multilingual African-law assistant at the World Bank. Deep hands-on experience with LangChain/LangGraph/LlamaIndex and evaluation tooling (LLM-as-a-judge, safety/hallucination detection), with measurable gains in retrieval quality and hallucination reduction.”