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Vetted Clustering Professionals
Pre-screened and vetted.
Dinesh Kumar Patibandla
Mid-level Machine Learning Engineer specializing in LLMs and RAG for finance and healthcare
“ML Engineer with recent Goldman Sachs experience building and deploying a production RAG/LLM assistant for summarization, drafting, and internal knowledge retrieval across financial, risk, and compliance documents. Designed for heavy regulatory constraints and scaled to 10,000+ concurrent users using Kubernetes-based orchestration, dynamic LLM routing, and rigorous testing (adversarial prompts, A/B tests, load simulations) with privacy controls like differential privacy.”
Olivia Liau
Junior Data Scientist specializing in ML research, NLP, and healthcare analytics
“Completed an Amazon externship building a GPT-4 + RAG pipeline to summarize themes from hundreds of employee reviews for workforce analytics aimed at improving warehouse retention. Emphasizes production-readiness through labeled-data evaluation, source attribution for explainability, human-in-the-loop review, and rigorous data cleaning/observability to debug real-world LLM workflow issues.”
Janvitha Mandyam
Mid-level GenAI/ML Engineer specializing in LLM applications and RAG systems
“GenAI/LLMOps practitioner who deployed a production RAG-based customer service and knowledge retrieval system for a global bank using LangChain, FAISS/Azure Cognitive Search, GPT-4/Claude, and Guardrails—driving a reported 35% Q&A accuracy lift while reducing handle time and escalations. Also partnered with non-technical leaders at CVS Health to deliver ML-driven supply chain risk and inventory insights via anomaly detection, NLG summaries, and stakeholder-friendly dashboards.”
Senior GenAI/ML Engineer specializing in LLMs and multimodal generative AI
Principal AI/ML Engineer specializing in agentic AI and distributed systems
Mid-level AI/ML Engineer specializing in computer vision, NLP, forecasting, and GenAI
Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI
Senior Data Scientist specializing in GenAI, fraud/credit risk, and cloud MLOps
Senior Product Manager specializing in growth, onboarding, and retention for consumer and SaaS products
Junior Applied AI Engineer specializing in LLMs and Retrieval-Augmented Generation
Senior Data Scientist and Generative AI Engineer specializing in LLMs, RAG, and MLOps
Intern Machine Learning & Software Engineer specializing in LLM delivery and data platforms
Junior AI/ML Engineer specializing in Computer Vision and LLM/RAG systems
Intern Software Engineer specializing in AI, data pipelines, and full-stack analytics tools
Mid-level Data Scientist specializing in LLMs, RAG systems, and production MLOps
Mid-level AI Data Engineer specializing in ML pipelines, NLP/LLMs, and cloud data engineering
Mid-level Data Scientist specializing in financial ML, forecasting, and NLP/GenAI
Intern Full-Stack Software Engineer specializing in AI/ML and Web3