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Vetted Data Processing Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in LLMs, RAG, and full-stack development
Senior Software Quality Engineer (SDET) specializing in regulated medical device and enterprise systems
Senior Software Engineer specializing in IoT, robotics, and data platforms
Junior Solutions Engineer specializing in cloud architecture, APIs, and enterprise platforms
Senior Machine Learning Engineer specializing in LLMs, RAG, and multimodal AI
Senior Full-Stack Python/AI Engineer specializing in RAG and cloud microservices
Principal AI & Cloud Architect specializing in banking and healthcare platforms
Mid-level Full-Stack Software Engineer specializing in scalable web applications
Mid-level Software Engineer specializing in backend systems and developer tooling
Senior Backend Engineer specializing in AWS serverless platforms for FinTech and Healthcare
Intern Data/Software Engineer specializing in APIs, LLM pipelines, and full-stack web apps
Mid-Level Software Engineer specializing in AI/ML and cloud deployment
Mid-level AI/Data Engineer specializing in LLMs, RAG pipelines, and cloud data platforms
Junior Industrial-Organizational Psychology professional specializing in people analytics and research
Mid-level Software Engineer specializing in FinTech data pipelines and backend systems
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Amrit Srivastava
Junior Software Engineer specializing in robotics simulation and machine learning
“Undergraduate AI/robotics research assistant who built a city-scale robotics simulation stack for embodied question answering, including JSON-driven environment generation and a ROS 2 pipeline bridging Isaac Sim sensors (CV/LiDAR) to external ML/RL algorithms. Also created and deployed an open-source library workflow tool adopted across multiple local libraries, using GitHub Actions CI/CD for signed releases and automated updates.”
Michael Forster
Senior Data Engineer specializing in ETL/ELT pipelines and data integration platforms
“Data engineer/software engineer who led an end-to-end ETL/ELT pipeline at Pearson processing millions of rows of student data nightly, including client-side data prep/validation, SFTP/API ingestion, staging-based SQL validation/transforms, and production loading. Built reliability features like configurable per-client validation thresholds, detailed reporting, concurrency throttling via a custom queue, and multi-source merge/backfill logic to keep nightly loads running even when sources fail.”