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Vetted Education Professionals in Remote
Pre-screened and vetted in Remote.
Junior Data/Backend Engineer specializing in distributed systems and streaming pipelines
Brian Mann
Executive brand and licensing leader specializing in consumer products, e-commerce, and entertainment
“Entrepreneur and executive building an entertainment IP studio centered on YouTube-driven discovery and toyetic, product-friendly franchises. Has prior pre-accelerator experience, has already begun investor conversations, and demonstrates a thoughtful, market-aware approach to fundraising, production cost compression, and venture studio economics.”
Principal corporate development and venture investing leader in AI and deep tech
Utkarsh Joshi
Senior Data Scientist specializing in ML, NLP, and GenAI analytics
“Built and deployed an LLM-powered analytics assistant enabling business users to ask questions in plain English and receive validated Spark SQL executed in Databricks, with a Streamlit/Flask UI. Addressed strict client schema-privacy constraints by implementing a RAG strategy and ultimately leveraging AWS Bedrock and fine-tuned reference docs. Also has production ML pipeline experience using Docker + Airflow and AWS (S3/ECS/EC2) for financial classification models.”
Jackson Dike
Entry-Level Software Engineer specializing in Machine Learning and AI
“Master’s-level candidate with an academic project portfolio, including ownership of a Python-based video game recommendation system using unsupervised clustering. Has hands-on experience designing the system approach and validating recommendation quality with test cases, plus teaching assistant experience instructing Git/GitHub workflows; limited exposure to Kubernetes, GitOps, and large-scale infrastructure.”
Mid-Level Software Engineer specializing in AI, LLM evaluation, and full-stack development
Mid-Level Software Engineer specializing in backend, cloud, and automation
Quintin Vizza
Intern Software Engineer specializing in full-stack web and game systems
“Built a production 13-step LLM agent pipeline at Sentari AI that converts diary entries into personalized AI responses and a persistent structured user profile. Stands out for a pragmatic approach to production AI: strict schemas, function calling, state-machine orchestration, confidence thresholds, logging, and validation layers to control non-determinism and prevent bad profile updates.”
Mid-level Data Analyst specializing in AML, fraud detection, and cloud data pipelines
Entry-Level Machine Learning Engineer specializing in Generative AI and RAG systems
Intern Data Scientist specializing in LLM agents, RAG, and real-time ML pipelines
Mid-level Frontend Engineer specializing in React/Next.js and scalable web platforms
Tanushree Kakad
Intern Software Engineer specializing in AI, computer vision, and VR
“Robotics software engineer with hands-on experience integrating vision-based perception with control logic in ROS simulation environments. Focused on debugging real-time timing/data-flow issues, improving system stability through incremental scenario testing in Gazebo, and supporting reliable deployments with Docker and basic CI/CD automation.”