.png){kind=logo}
Vetted Teaching Assistants
Pre-screened and vetted.
Mid-level Robotics & Control Systems Researcher specializing in PINNs and autonomous vehicles
Junior Robotics Researcher specializing in multi-robot planning, control, and perception
Mid-level Data Scientist specializing in geospatial computer vision and ML
Executive Cryptography Engineer specializing in zero-knowledge proofs and blockchain security
Mid-level Cloud Engineer specializing in AWS infrastructure reliability
Mid-Level Backend Engineer specializing in microservices and high-scale APIs
Junior Full-Stack Software Engineer specializing in web platforms and algorithms
Mid-Level Software Engineer specializing in cloud data platforms and full-stack web development
Intern Software Engineer specializing in distributed systems and FinTech
Mid-level Backend Software Engineer specializing in FinTech and cloud microservices
Mid-level GPU Software Engineer specializing in high-performance parallel computing
Deepam Ameria
Intern Robotics Software Engineer specializing in autonomy, perception, and control
“Robotics software engineer with hands-on experience building autonomy features across perception, planning, and systems integration—most notably for an autonomous lunar rover that detects and geometrically models craters to plan terrain manipulation. Also owned development of an autonomous stair-climbing module for a quadruped robot as an intern, and has real-time motion-planning/IK debugging experience on a Franka Panda using RGB-D (RealSense).”
Alp Komban
Junior Machine Learning Engineer specializing in computer vision for medical imaging
“Applied ML/LLM practitioner working in healthcare-facing products, using RAG and LoRA fine-tuning on medical data and implementing production monitoring (confidence scoring) for clinician oversight. Has hands-on experience debugging agentic/LLM pipelines (including OCR preprocessing fixes) and regularly delivers technical demos to doctors, investors, and conferences—contributing to adoption and even helping close a funding round through end-to-end pipeline walkthroughs.”
Xiaoai Zhu
Entry-level Software Engineer specializing in AI and full-stack data systems
“Backend/AI engineer who has built an offline, citation-grounded RAG system end-to-end with hybrid retrieval, local LLM inference, and quantitative evaluation via RAGAS. Also brings real-time systems experience from an Airbnb-like booking platform and data pipeline/ML quality work from a Bilibili internship, with a strong emphasis on reliability, privacy, and measurable correctness.”
Intern-level Software Engineer specializing in backend systems and applied AI
Mid-level Full-Stack Software Engineer specializing in cloud-native web platforms