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Vetted Data Scientists in North Carolina
Pre-screened and vetted in North Carolina.
Ram Reddy Naidi
Senior Data Scientist specializing in AI, ML, and LLM agents
Ali Haider
Senior Data Scientist specializing in LLMs, NLP, and semantic search
Mitesh Singh
Junior Software Engineer specializing in AI agents and LLM integrations
Jimmy Li
Senior Machine Learning Engineer specializing in Generative AI, NLP, and MLOps
Sathwik Alavala
Mid-level Data Scientist specializing in AI/ML, MLOps, and LLM-powered analytics
“Built and deployed a production LLM-powered document Q&A system enabling natural-language querying of large PDFs, focusing on retrieval quality (overlapped chunking) and low-latency performance (optimized embeddings + vector search). Experienced with scaling ML/LLM workflows using async/batch processing, caching, cloud storage, and orchestration via Apache Airflow with robust testing, monitoring, and failure handling.”
Sai Vikas Reddy Yeddulamala
Mid-level AI/ML Engineer specializing in LLMs, RAG systems, and MLOps
Sai Boorlagadda
Mid-level AI/ML Engineer specializing in fraud detection, risk modeling, and LLM/RAG systems
saran palle
Mid-level Applied AI Engineer specializing in agentic LLM workflows
“AI engineer with production experience building a LangGraph-based, stateful multi-agent system at MetLife to automate complex insurance claims adjudication, integrating document discovery, Azure Document Intelligence OCR/extraction, and health data analysis. Strong in agent orchestration and production deployment (Docker + FastAPI REST APIs), with a structured approach to reliability, evaluation, and stakeholder-driven requirements.”
Niharika Govinda
Junior Machine Learning Engineer specializing in NLP, data pipelines, and LLM workflows
“Built and shipped a production LLM-powered decision system that replaced a slow, inconsistent manual review process by turning messy text into structured, auditable outputs behind an API. Demonstrates strong end-to-end ownership of reliability and operations (schema validation, retries/fallbacks, latency/cost controls, monitoring for drift) and a disciplined approach to evaluation and regression testing. Experienced collaborating with non-technical reviewers to define success criteria and deliver interpretable outputs that get adopted.”
Shanmukha Deety
Mid-level AI/ML Engineer specializing in LLM systems, MLOps, and real-time fraud detection
Sree Manasa Vuppu
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG
“Internship at Discovery Education building a production LLM/RAG chatbot that let marketing and sales teams query and interpret Looker/BI dashboards in natural language, with responses grounded in compliance and state education standards. Emphasizes rigorous evaluation (faithfulness/precision/recall/latency) plus user-feedback analytics, and used LangChain for orchestration, chunking/context-window control, and integration with enterprise sources like SharePoint.”
Mrudul Shirodkar
Junior Full-Stack Software Engineer specializing in Java/Spring Boot and Angular
“Backend-leaning full-stack developer (Java/Spring Boot, Angular, MySQL) who emphasizes rapid iteration with quality via clean code, validation, and API testing. Built a web application to help women connect directly with NGOs, focusing on an intuitive dashboard and user walkthroughs to support adoption, and designed flexible REST APIs to handle frequent requirement changes.”