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Vetted Machine Learning Engineers in the Raleigh-Durham
Pre-screened and vetted in the Raleigh-Durham.
Vishnu Mukundan Thanikunathe Manoj
Junior AI/ML Engineer specializing in LLM agents, explainable AI, and computer vision
“Robotics/computer-vision engineer with industrial safety monitoring experience, building real-time pose estimation (TRTPose) and 2D-to-3D localization and optimizing pipelines to sustain 30+ FPS under heavy multi-entity load. Also brings edge-to-cloud distributed systems work (HoloLens + Google Vision/Translation) and production ML deployment experience using Docker/CI/CD across finance and edge camera environments.”
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
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
Manikantan Srinivasan
Intern AI Engineer specializing in LLMs, RAG, and multimodal generative AI
Sandesh Mahajan
Mid-level AI/ML Engineer specializing in GenAI, NLP, and MLOps on cloud
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