Vetted Databricks Professionals

Pre-screened and vetted.

Suhas Kishore - Intern-level Business Analytics professional specializing in data science and BI in Remote

Intern-level Business Analytics professional specializing in data science and BI

Remote1y exp
Lionchase North AmericaDePaul University
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HM

Mid-level Data Scientist specializing in ML, NLP, and Generative AI

Addis Ababa, Ethiopia4y exp
Shewa IncUniversity of Texas at Austin
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YM

Junior Software Engineer specializing in backend systems and RAG AI

Norman, OK2y exp
University of OklahomaUniversity of Oklahoma
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BS

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

Dallas, TX4y exp
LambdaSacred Heart University
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HD

Junior Data Analyst specializing in analytics engineering and forecasting

Austin, TX1y exp
ReArtham Tech LLPTexas State University
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DJ

Mid-level AI Engineer specializing in LLM agents, RAG, and evaluation

New York City, NY2y exp
Parcha LabsPace University
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SS

Mid-level Data Engineer specializing in cloud-native batch and streaming pipelines

Prosper, TX5y exp
ACL DigitalTrine University
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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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Harshit Vashisth - Junior AI Engineer specializing in LLMs, RAG systems, and MLOps in Remote, United States

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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Akash Parekh - Mid-level Full-Stack Developer specializing in React, Node.js, and cloud deployment in Toronto, Canada

Akash Parekh

Screened

Mid-level Full-Stack Developer specializing in React, Node.js, and cloud deployment

Toronto, Canada3y exp
WIMTACH, Centennial CollegeCentennial College

Frontend engineer with experience building enterprise ERP/CRM dashboards in React + TypeScript, including cron-driven data updates and differentiated state flows. Emphasizes CI/CD pipeline setup, performance optimization (Core Web Vitals, React Profiler), and disciplined delivery practices (risk-based QA, phased rollouts); also has Figma-to-responsive implementation experience.

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ZA

Junior Full-Stack Software Developer specializing in cloud-native apps and data/AI

Nashville, TN1y exp
Belmont Data & AI CollaborativeBelmont University
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AT

Senior AI/ML Engineer specializing in FinTech and SaaS

Orient, OH8y exp
PaklogicsWalsh University
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SL

Mid-level Frontend Software Engineer specializing in React and QA

Johannesburg, South Africa9y exp
7TH CENTURY MUSICRichfield Graduate Institute of Technology
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JG

Junior Software Engineer specializing in AI/ML, data pipelines, and real-time dashboards

Los Angeles, CA2y exp
Direct A/VCalifornia State University, Fullerton
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Benjamin Fraire - Entry-Level Game Designer specializing in Unreal Engine level design and Blueprint scripting in Remote

Entry-Level Game Designer specializing in Unreal Engine level design and Blueprint scripting

Remote1y exp
PublixFull Sail University

Entry-level UE5 Blueprint gameplay scripter who built the player-facing target system for a rhythm-shooter hybrid, including polished visual feedback tied to beat accuracy. Improved project scalability by decoupling beat-map data from 3D environments and spawning beat maps from collected data objects, reducing duplicated map content; uses Jira and version control in a collaborative workflow.

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