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Vetted Research Assistants in the Bay Area
Pre-screened and vetted in the Bay Area.
Intern full-stack software developer specializing in web and biomedical applications
Mid-Level Full-Stack Software Engineer specializing in SaaS, FinTech, and LLM applications
Mid-Level Software Engineer specializing in distributed systems and backend platforms
Junior Machine Learning Engineer specializing in LLM agents, knowledge graphs, and multimodal AI
Sai Manikanta Servirala
Robotics Software Engineer specializing in ROS 2/DDS infrastructure and fleet observability
“Robotics software engineer focused on production ROS 2 (Humble) systems for warehouse AMRs, with strong architecture and integration chops. Built a ROS 2 Lifecycle-based hardware abstraction layer to decouple autonomy from sensors (including mid-production LiDAR vendor swap), enabling mixed fleets and cutting bring-up/integration time dramatically. Also develops Nav2 plugins, MPPI tuning workflows, and scalable simulation/CI tooling (Gazebo, Docker, GitHub Actions) for high-throughput testing.”
Shram Kadia
Junior Software Engineer specializing in ML, RAG systems, and safety-critical risk modeling
“Backend/cloud engineer from Resilient Tech with hands-on experience deploying REST APIs and database migrations into a live ERP used by real customers while maintaining 99% uptime. Has debugged intermittent AWS container timeouts down to security group/load balancer misconfigurations, and has extended Python in an ERPNext system to meet GST/e-invoicing compliance requirements with strong customer collaboration.”
Haider Zahoor
Mid-level Game/Software Engineer specializing in Unity & Unreal cross-platform development
“Unity/VR developer who has shipped on Meta Quest (SideQuest) and built standalone PCVR medical applications used with real patients. Built a fully solo roguelike twin-stick shooter with a highly modular ScriptableObject/state-machine architecture, including custom build-time tooling to overcome Unity runtime constraints. Uses AI selectively (e.g., Claude) to generate editor tooling like a match-3 level designer to speed up level production.”
Jaswanth Sai Mididodla
Junior Full-Stack Java Developer specializing in Spring Boot microservices and cloud DevOps
“Software engineer with hands-on production experience deploying Spring Boot services to AWS using Docker and Jenkins CI/CD, focused on stable releases, easy rollback, and performance improvements through monitoring/logging and query optimization. Has proven cross-layer troubleshooting skills (identified packet loss causing intermittent timeouts via network traces) and experience collaborating on-site with operators in industrial/IoT-style environments, including working alongside robotics/PLC teams.”
Junior Full-Stack Software Engineer specializing in Java/Spring Boot, React, and cloud microservices
Junior Machine Learning Engineer specializing in computer vision and LLM/VLM systems
Mid-level Full-Stack ML Engineer specializing in Graph RAG and knowledge graphs
Junior Backend/Full-Stack Software Engineer specializing in cloud and serverless systems
Junior Machine Learning Engineer specializing in deep learning for fluid dynamics
Junior AI/ML Engineer specializing in LLMs, recommender systems, and computer vision
Mid-level Software Engineer specializing in distributed systems and high-performance networking
Senior Software Engineer specializing in AI/ML and cloud backend systems
Junior AI/ML Engineer specializing in LLM applications, RAG, and multimodal computer vision
Mid-level Software Engineer specializing in IoT, robotics, and secure edge-to-cloud systems