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Vetted Education Professionals
Pre-screened and vetted.
Popular Titles
Mid-level Software Engineer specializing in cloud microservices and ML systems
Intern Embedded/Computer Engineering Researcher specializing in FPGA and quantum simulation
Junior Software Engineer specializing in systems programming and networking
Intern Data Scientist specializing in LLM agents, RAG, and real-time ML pipelines
Mid-Level Backend Engineer specializing in scalable microservices and event-driven systems
Mid-Level Full-Stack Software Engineer specializing in LLM-integrated web applications
Mid-level Software Engineer specializing in IoT, robotics, and secure edge-to-cloud systems
Junior Software Engineer specializing in Python automation and AWS DevOps
Mid-level Composer and Violinist specializing in contemporary classical performance and teaching
Junior Digital Media & 3D Visualization Specialist (Unreal Engine/Unity/Rhino)
Junior Game Developer specializing in Unreal Engine and gameplay systems
Mid-level Frontend Engineer specializing in React/Next.js and scalable web platforms
Junior Soccer Coach specializing in youth player development and video analysis
Junior Generative AI Engineer specializing in LLM systems and RAG
Junior Full-Stack Software Engineer specializing in Python/React and AI-powered web apps
Mid-level AI & Data Science professional specializing in MLOps, deep learning, and UAV research
Patsy Lin
Junior Full-Stack Software Developer specializing in PERN web applications
“Built and shipped a "Strangers Things" app from a messy prototype to a deployed Vercel product by running informal user tests and converting UX pain points (login friction, clunky messaging, session persistence) into targeted technical fixes. Also has teaching/demo experience, including adapting a Scratch coding workshop for young students, highlighting strong audience-aware communication and troubleshooting skills.”
Haeshitha Indukuri
Entry AI/ML Engineer specializing in Generative AI, LLMs, and MLOps
“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).”
Timothy Grace
Executive Hockey Coach and Training Business Owner specializing in player development
“Former NCAA Division III hockey player with 11 years of Massachusetts high school coaching experience who recently opened a hockey training facility. Combines on-ice player development and mentorship with recruiting/placement guidance (prep, juniors, college) and runs active social media channels producing instructional drill videos for hockey families.”