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Vetted Education Professionals
Pre-screened and vetted.
Popular Titles
Junior Robotics & Controls Engineer specializing in motion planning and ROS 2
Senior Finance Professor and Program Director specializing in corporate finance and logistics
Mid-level Machine Learning Engineer specializing in Generative AI and foundation models
Junior Data Scientist specializing in NLP, OCR, and recommendation systems
Mid-Level Backend Engineer specializing in distributed microservices and FinTech systems
Mid-Level Software Engineer specializing in backend microservices and distributed systems
Mid-Level Software Engineer / Game Developer specializing in React and game engines
Senior baseball instructor and former professional player specializing in athlete development
Junior Software Engineer specializing in distributed systems and AI applications
Senior Full-Stack Engineer specializing in enterprise architecture and cloud systems
Mid-level Design Engineer / Product Designer specializing in developer-facing SaaS UX
Mid-level Software Engineer specializing in distributed systems and cloud backend
Mid-level Data Scientist specializing in LLMs and applied machine learning
Mid-Level Software Engineer specializing in algorithmic generation and AI systems
Junior Industrial-Organizational Psychology professional specializing in people analytics and research
Mid-Level Full-Stack Software Engineer specializing in distributed systems and FinTech
Junior Data & AI Analyst specializing in BI, LLM applications, and analytics
Senior Football Consultant specializing in international recruitment and player development
Ashutosh Khatavkar
Mid-level SDET/Software Engineer specializing in test automation and CI/CD
“AAA game QA professional from Ubisoft (For Honor) with deep live-service multiplayer experience. Known for owning network/competitive integrity risks and building a custom network simulation tool to reliably reproduce desync issues, accelerating debugging and saving 100+ hours. Strong end-to-end QA process skills spanning test planning, triage, regression, and release verification using JIRA/TestRail.”
Bhuvaneswari Kudaravalli
Mid-Level Full-Stack Software Engineer specializing in TypeScript, React/Next.js, and Node/Nest APIs
“Full-stack engineer who built and scaled an AI-powered web product (React/Next.js + TypeScript/NestJS) with MongoDB, Redis, and RabbitMQ. Strong in rapid iteration while maintaining production quality—uses versioned APIs, feature flags, CI/CD, and observability (correlation IDs/structured logs) to ship frequently and debug distributed workflows. Also created an internal operations dashboard for real-time visibility and control of background jobs/AI workflows that was adopted quickly by ops and product teams.”
Rodolfo Lopez
Senior Math Educator transitioning to Data Science & Business Analytics
“Recent McCombs School of Business (UT Austin) Post Graduate Program graduate in Data Science & Business Analytics with hands-on project experience spanning stock clustering/segmentation and hotel booking-cancellation prediction. Strong in end-to-end analysis workflows (EDA, cleaning, feature engineering) and rigorous model comparison/selection, with exposure to boosting methods and imbalanced-data techniques; limited experience so far with embeddings/vector databases and production deployment.”
Preetham Dandu
Junior Software Engineer specializing in backend, distributed systems, and cloud platforms
“MS candidate with strong backend/data engineering focus who builds research and data systems with production-grade rigor (reproducibility, observability, restartability). Has hands-on experience securing and scaling FastAPI-based gateways in front of Java microservices, leading SQL Server→Snowflake migrations with dual-write/feature-flag rollouts, and hardening Kafka-based fleet-tracking systems against out-of-order and duplicate events.”
Srikanth Natarajan
Junior Robotics Engineer specializing in perception, SLAM, and reinforcement learning
“Robotics software engineer with hands-on ROS 2 experience across drones, mobile robots, and manipulators. Built an end-to-end visual SLAM + navigation stack on a real robot using RTAB-Map, and implemented ROS 2-based coordination between a mobile robot and manipulator for camera-triggered object pickup. Optimizes real-time behavior by moving performance-critical code to C++ and deploying TensorRT-compressed models.”