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Vetted Anomaly Detection Professionals

Pre-screened and vetted.

Anomaly DetectionPythonDockerSQLCI/CDAWS
BN

Bahar Nobar

Mid-level Machine Learning Engineer specializing in Generative AI and healthcare NLP

Remote, CT2y exp
FluteSpaceUniversity of New Haven
A/B TestingAnomaly DetectionAPI DevelopmentBERTCross-functional CollaborationCUDA+126
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JA

Jeremiah Adebusoye

Junior Data Scientist/Data Analyst specializing in machine learning and business intelligence

Remote2y exp
FiverrJIT Solutions
PythonSQLRMicrosoft ExcelGitGitHub+44
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SM

Sai Manvith Reddy Buchi Reddy

Intern Full-Stack Software Engineer specializing in AI-powered applications

Hyderabad, India1y exp
TericsoftUniversity of Bridgeport
PythonJavaScriptSQLJavaC++FastAPI+52
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MK

Manas Kumar Sherla

Screened

Junior Machine Learning Engineer specializing in NLP and LLM-based clinical AI

Charleston, IL2y exp
Eastern Illinois UniversityEastern Illinois University

“Built a production automated resume matching system using Python, FAISS vector search, and Selenium-based job scraping, including mitigation for IP blocking and heterogeneous site structures. Also develops LLM/RAG applications with LangChain, using Pydantic-guardrailed structured outputs and LLM-as-a-judge evaluation (including a project focused on tone/semantics for a 3D avatar’s emotional responses).”

A/B TestingAnomaly DetectionBERTData AnalysisData EngineeringData Visualization+78
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