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Vetted Teaching Assistants
Pre-screened and vetted.
Junior Machine Learning Engineer specializing in deep learning for fluid dynamics
Mid-level Machine Learning Engineer specializing in reinforcement learning and autonomous systems
Intern Robotics Engineer specializing in embedded systems and ROS-based autonomy
Mid-level Full-Stack Engineer specializing in cloud-native and Generative AI systems
Senior Filmmaker and Editor specializing in cinematic brand storytelling
Junior Full-Stack Developer specializing in Java/Spring Boot and React for FinTech
Junior Robotics & ML Engineer specializing in vision-language-action autonomy
Mid-Level Software Engineer specializing in SaaS platforms and payments
Intern Full-Stack Engineer specializing in Java/Spring Boot and React
Mid-level Robotics & AI Researcher specializing in learning-augmented task and motion planning
Mid-Level Full-Stack & Mobile Engineer specializing in AI-powered web and mobile apps
Mid-level Graphic Designer & Creative Director specializing in brand systems and spatial media
Junior Machine Learning Engineer specializing in scalable ML systems and LLMs
Junior Software Developer specializing in Java and web development
Director/Producer and Post-Production Specialist in Film, Commercials, and Branded Content
Entry-Level Software Engineer specializing in AI/NLP and full-stack development
Junior Product Designer specializing in visual identity, prototyping, and digital media
Mid-level Inside Sales Representative specializing in government IT solutions
Rukmini Pisipati
Junior AI/ML Engineer specializing in LLM automation and NLP
“Built and shipped a production LLM hallucination detection and monitoring pipeline using semantic-level entropy (embedding-clustered multi-generation variance) to flag unreliable outputs in downstream automation. Implemented a scalable async architecture (FastAPI + Docker + Redis/Celery) with strong observability (structured logs + PostgreSQL) and developed evaluation loops combining controlled prompts and human review; also partnered with non-technical stakeholders on AI-driven form validation/document processing.”