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Vetted scikit-learn Professionals

Pre-screened and vetted.

RR

Mid-level Generative AI Engineer specializing in LLMs, RAG, and prompt engineering

Dallas, USA4y exp
DoubleneUniversity of North Texas
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MZ

Entry-Level Software Engineer specializing in healthcare data and AI-enabled tools

Remote0y exp
Mind MenderCalifornia State University, Stanislaus
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VS

Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP

3y exp
Kemp TechnologiesAtlantis University
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SS

Senior Data Scientist / ML Engineer specializing in NLP, speech AI, and computer vision

San Jose, California5y exp
Ecosmob TechnologiesC-DAC ACTS Pune
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PB

Intern Full-Stack Software Engineer specializing in Node.js, AWS, and scalable backend systems

Los Angeles, CA1y exp
Our National ConversationCal State LA
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NB

Junior Data Scientist specializing in machine learning and analytics

Remote1y exp
BlackBuck EngineersUniversity of Central Missouri
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PK

Junior Machine Learning Engineer specializing in Generative AI and LLM agents

San Jose, CA1y exp
GuardiumAIUniversity of Texas at Arlington
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SM

Entry-Level Full-Stack Engineer specializing in backend APIs and cloud architectures

Buffalo, United States1y exp
CrowdDoingUniversity at Buffalo
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RG

Mid-level AI/ML Engineer specializing in NLP, LLMs, RAG, and MLOps

Austin, TX5y exp
Royal Monarch Solutions LLCUniversity of the Pacific
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AK

Junior AI Engineer specializing in LLM systems and RAG

San Francisco, CA2y exp
Liebre.aiFlorida State University
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AR

Mid-level AI & Data Science professional specializing in MLOps, deep learning, and UAV research

Islamabad, Pakistan5y exp
AI-Explain You ScienceAir University, Islamabad
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DM

Mid-level Science Editor specializing in astronomy and astrophysics

Waukesha, WI10y exp
Astronomy magazineUniversité Côte d’Azur
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HI

Haeshitha Indukuri

Screened ReferencesStrong rec.

Entry AI/ML Engineer specializing in Generative AI, LLMs, and MLOps

Denton, TX1y exp
University of North TexasUniversity of North Texas

Built and productionized a MediCloud/Medicoud LLM microservice platform that lets clinicians query medical data in natural language, orchestrating multi-step RAG-style workflows with LangChain and evaluating/debugging with LangSmith. Delivered measurable gains (consistency ~70%→90% / +20%; latency ~2.0s→1.1s / -40%) by implementing structured prompts, fallback logic across multiple LLMs, hybrid retrieval tuning, and AWS Lambda performance optimizations (package size, async, caching).

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JK

Jeevan Kumar

Screened

Mid-level Full-Stack AI Engineer specializing in LLM systems and RAG

Remote, USA5y exp
Augmented AIUniversity of Massachusetts Dartmouth

Built and shipped a production "Campaign AI" multi-agent system (LangGraph) that personalizes B2B outbound emails at scale using Apollo.io prospect data, clustering-based segmentation, and 21 persona variants. Notably uncovered that high click rates were largely email security scanners and created a validated bot-detection/scoring pipeline (timestamps/IP/user-agent/click patterns), bringing reported engagement down from ~40% to a trusted 5–8% that aligned with real conversions.

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HV

Junior AI Engineer specializing in LLMs, RAG systems, and MLOps

Remote, United States1y exp
Concept2ActionJaypee Institute of Information Technology

Robotics software engineer who built an end-to-end system ("justmatrix"), focusing on multi-agent orchestration and a multi-RAG retrieval backend/API. Has hands-on ROS experience, including a custom node for reliable high-frequency sensor data routing, plus deployment automation using Docker, Kubernetes, and CI/CD.

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MJ

Mid-level Data Analyst specializing in SQL/Python analytics, ETL pipelines, and BI dashboards

Denton, TX4y exp
Alenotech SolutionsFlorida Atlantic University

Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.

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AP

Junior AI/ML Researcher specializing in deep learning, computer vision, and LLM applications

Ashland, OH2y exp
Ashland UniversityAshland University
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AS

Junior CRM Analyst specializing in SaaS and HealthTech automation

Frisco, TX2y exp
ArteraWebster University
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AK

Mid-level Generative AI & ML Engineer specializing in LLMs, RAG, and MLOps

Frisco, TX4y exp
DoubleneBelhaven University
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SC

Junior Software/AI Engineer specializing in LLM agents and RAG systems

California, USA2y exp
California State University, FullertonCalifornia State University, Fullerton
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JK

Jaiden Kettleson

Screened ReferencesStrong rec.

Entry-Level Full-Stack & AI Engineer specializing in chatbots and web apps

1y exp
The Green DragonMaryville University

Data Science honors graduate (Maryville University) who has built Python/SQL backends and a capstone website handling sensitive user data. Emphasizes secure data handling (password encryption, secure database updates) and uses Git/GitHub Pages with CI/CD-style practices for managing and deploying changes.

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VY

Entry-Level Software Engineer specializing in full-stack web development and cybersecurity

Hack The Box
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