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Vetted Teaching Assistants in California
Pre-screened and vetted in California.
Arush Chhatrapati
Junior Software Engineer specializing in platform engineering and developer tooling
“Full-stack product engineer with platform and AI feature experience across Applied Intuition and Futre.me. They stand out for turning one-off requests into reusable multi-team platform capabilities, and for shipping production LLM workflows with structured outputs, validation, and pragmatic evaluation loops rather than hype-driven AI architecture.”
Junior Robotics & AI Engineer specializing in autonomous navigation and embodied learning
Entry-level Backend Software Engineer specializing in API automation and LLM testing
Mid-level Backend Software Engineer specializing in cloud databases
Senior Robotics Systems Engineer specializing in manipulation, motion planning, and real-time control
Akshay Soni
Director-level Engineering Manager specializing in platform engineering, CI/CD, and developer productivity
“Senior Engineering Manager with a player-coach style who stays technically engaged through heavy code reviews and pair programming. Led prioritization and stakeholder alignment for a scalable, resilient feature-flag evaluation service with strict sub-50ms latency goals, including a major caching-strategy redesign and incremental rollout approach. Experienced in incident response/retrospectives and in coaching engineers toward improved performance and promotions.”
Rediet Gesesse
Mid-level Software Engineer specializing in FinTech and full-stack platforms
“Built a kitchen capacity management system for merchants, owning deployment through stabilization and continuously tuning capacity based on fulfillment and cancellation outcomes. Also designed customer-support decision workflows for refunds/credits with a focus on fraud cost reduction, and has hands-on experience with Kafka, Flink, relational databases, and production incident mitigation via feature-flag rollbacks.”
Mid-level AI Engineer specializing in LLM agents, evaluation pipelines, and microservices
Intern Machine Learning Engineer specializing in LLM agents and RAG systems
Junior Robotics Software Engineer specializing in GNSS localization, perception, and controls
Junior Software Engineer specializing in SaaS analytics and reporting
Yutao Cao
Junior Machine Learning Engineer specializing in computer vision and 3D/robotics research
“Robotics software candidate focused on simulation-to-learning workflows, building a novel-view-synthesis pipeline (USCiLab3D) with a multi-modal diffusion model and a LiDAR-driven, geometry-aware sampling strategy for selecting overlapping reference views across trajectories/seasons. Also designed coordinated motion planning for two Ridgeback-Franka robots in Isaac Lab for a non-prehensile collaborative task, augmenting controller limitations with RL-based self-collision termination states.”
Prajit Mohan
Junior QA Engineer specializing in test automation for web applications
“QA automation engineer with healthcare web experience who owned an end-to-end automated test suite (Java/Cucumber/Selenium and Cypress) and integrated it into CI/CD (Jenkins to GitHub Actions, qTest DoD gates). Known for boosting regression coverage to ~93%, stabilizing flaky Cypress tests, and catching production-impacting pipeline/environment redirect issues through workflow updates and cross-browser/regional scenario testing.”
Parth Tusham
Intern Software Engineer specializing in systems, cloud, and security
“Systems and infrastructure engineer pivoting toward robotics software; brings strong low-level debugging, multithreaded systems, and networking experience where correctness and timing matter. Has hands-on experience using Docker and CI/CD to build reproducible test/evaluation environments (thesis), and proposes a disciplined, contract-driven approach to distributed communication and real-time performance debugging.”
Manaswini Gogineni
Junior Software Engineer specializing in cloud infrastructure and full-stack web development
“Full-stack/platform engineer who has owned real-time analytics products end-to-end and built scalable TypeScript/React + Node.js systems using event-driven and microservices architectures (Kafka/RabbitMQ). Also created a widely adopted Go CLI that standardized AWS/Terraform provisioning across multiple teams, cutting environment setup from days to minutes through opinionated defaults, documentation, and cross-org partnerships.”
Junior Full-Stack Engineer specializing in AI, FinTech, and healthcare applications
Mid-level Full-Stack Engineer specializing in cloud-native FinTech platforms
Senior Machine Learning Engineer specializing in computer vision and edge AI
Mid-level GPU Software Engineer specializing in high-performance parallel computing
Mid-level Software Engineer specializing in AI systems and FinTech
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.”