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Vetted Research Assistants in the Bay Area
Pre-screened and vetted in the Bay Area.
Akshit Gaur
Mid-level AI Engineer specializing in agentic LLM systems
“Built and productionized a dual-agent LLM invoice-processing system for GFI Partners, adding guardrails and audit trails to earn stakeholder trust and drive adoption while cutting operational burden by 75%. Uses LangSmith observability to diagnose real-time workflow regressions and has experience teaching agentic AI concepts (e.g., at Carnegie Mellon) through hands-on, scaffolded demos.”
Intern Machine Learning/Robotics Engineer specializing in computer vision and 3D simulation
Intern software engineer specializing in backend, cloud, and security systems
Intern Perception/Robotics Engineer specializing in computer vision and embodied AI
Junior Forward Deployed Engineer specializing in AI solutions and production deployments
Senior Robotics Systems Engineer specializing in manipulation, motion planning, and real-time control
Intern Mechanical Engineer specializing in robotics, controls, and manufacturing
Mid-level Software Engineer specializing in data platforms and full-stack systems
Mid-level Software Development Engineer specializing in AWS incident management and AI analytics
Guruprasad Parasnis
Junior AI/Data Engineer specializing in LLM systems and computer vision
“AI-native software engineer who uses agentic development as a core workflow, including a three-agent setup for planning, validation, and implementation. In their most recent role, they acted as the lead orchestrator for AI agents, with a strong emphasis on production safety, architectural control, and rigorous validation.”
Mid-level AI Engineer specializing in LLM agents, evaluation pipelines, and microservices
Mid-level Full-Stack Engineer specializing in cloud platforms and AI systems
Intern Controls Software Engineer specializing in robotics and autonomous vehicles
Mid-level Software Engineer specializing in AI/ML and full-stack systems
Mid-level Control Systems Engineer specializing in automation, embedded systems, and hydrogen energy
Mid-level Machine Learning Engineer specializing in optimization, RL, and graph neural networks
Leela Tikkisetty
Mid-level Software Engineer specializing in ML platforms and cloud-native backend systems
“Software engineer with experience at Google and the City and County of San Francisco building production AI systems, including a RAG-based internal support chatbot and ML-driven ticket priority tagging. Has scaled data/ML platforms with Airflow on GCP (1M+ records/day, 99.9% SLA) and deployed multi-component systems with Docker and Kubernetes (GKE), using modern LLM tooling (LangChain/CrewAI, Claude/OpenAI, Pinecone/ChromaDB, Bedrock/Ollama).”
Jorge Garcia
Junior Robotics/Controls Engineer specializing in ROS2 autonomy, perception, and medical robotics
“Robotics software engineer/researcher at Stanford PDML Lab building VisualFT, a ROS2-based visual-tactile sensing system for compliant force-control guidance in acupressure/ultrasound-style manipulation. Also interned at Neocis (dental robotics) improving safety-critical collision detection using Bullet Physics with automated validation and CI (Jenkins/CDash).”
Senior Full-Stack and DevOps Engineer specializing in AI platforms and infrastructure
Intern Deep Learning Engineer specializing in LLM agents and on-device multimodal inference
Mid-level Software Engineer specializing in AI developer tools and full-stack systems
Mid-level Navigation Engineer specializing in PNT and autonomous aviation