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Vetted Teaching Assistants
Pre-screened and vetted.
Mid-level Business Analyst specializing in data analytics and business intelligence
Mid-level Computer Vision Researcher specializing in multimodal segmentation and UAV imagery
Senior Embedded Software Engineer specializing in real-time ADAS and radar sensing systems
Mid-level Game Developer specializing in XR (AR/VR) and real-time simulation
Senior Software Engineer specializing in FinTech data platforms
Intern-level investment professional specializing in private equity and real estate
Mid-level Full-Stack Software Engineer specializing in cloud, microservices, and ML-ready platforms
Junior Software Engineer specializing in full-stack development and data pipelines
Mid-level Product & Data Strategy professional specializing in AI and analytics
Senior HR Business Partner specializing in Financial Services and Professional Services
Mid-Level Software Engineer specializing in cloud-native microservices and distributed systems
Mid-level Product Designer specializing in enterprise UX and AI-powered SaaS
Junior Full-Stack & Site Reliability Engineer specializing in cloud microservices
Mid-level Computer Science PhD Researcher specializing in privacy-preserving sensing and HCI
Junior Software Engineer specializing in full-stack web and data platforms
Junior Software Engineer specializing in autonomous vehicle perception and MLOps
Mid-level Product Manager specializing in AI-driven product strategy and analytics
Junior Solution Engineer specializing in energy storage systems and robotics
Mid-level Data Analyst specializing in analytics, BI, and data engineering
Kimberly Michela
Junior Full-Stack Software Engineer specializing in web apps and developer tools
“Frontend engineer who built the full frontend for gameofstreaks.com using React/Next.js with an emphasis on responsive design, accessibility, SEO, and performance profiling. Has experience refactoring legacy HTML/CSS/JS sites into reusable React components and shipping quickly with unit tests, CI/CD, and branch-based deployments; also collaborates with designers in hackathon settings (e.g., an AI interview practice app).”
Aldric Pinto
Mid-level AI product and data lead specializing in analytics and healthcare AI
“Product-minded software engineering lead with a blend of backend, data engineering, cloud observability, and AI product experience. They’ve owned systems end-to-end, from ETL job builders that cut setup time 70% to hybrid-cloud observability workflows that reduced monitoring effort 80%, and also drove an AI marketing feature that improved conversion from 2% to 6%.”
Srijan Dokania
Junior Robotics & Machine Learning Engineer specializing in perception, SLAM, and edge AI
“Built and deployed an Azure-based, fine-tuned CLIP visual retrieval system at Staples for a ~300k-item product catalog, improving edge-case recall by 12% by engineering a custom delta-similarity/dynamic-margin loss. Also has robotics experience using ROS2 for sensor/compute orchestration, including GPS-time-synchronized sensor triggering for robot swarms and latency-bounded optical-flow benchmarking for edge deployment.”