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Vetted Research Assistants
Pre-screened and vetted.
Junior Software Development Engineer specializing in Android, cloud automation, and IoT/ML
Intern Software Engineer specializing in full-stack systems and computer vision
Junior AI Engineer specializing in LLM systems and network automation
Director of Engineering specializing in AI, data platforms, and cloud cost optimization
Junior Software Engineer specializing in AI, distributed systems, and full-stack development
Senior Applied Scientist specializing in LLMs, GenAI systems, and AutoML
Junior Robotics Perception Engineer specializing in computer vision and autonomous navigation
Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems
Mid-level Structured Finance Structuring AVP specializing in catastrophe bonds
Intern investment and strategy professional specializing in private equity and e-commerce
Mid-level Backend/Distributed Systems Engineer specializing in AWS serverless architectures
Senior Machine Learning Scientist specializing in LLMs, RAG, and health AI
Umar Ali
Mid-level Data Analyst specializing in econometrics, ESG, and labor market research
Hemant Shukla
Executive AI strategy and product leader specializing in industrial AI and frontier technologies
“25+ year professional exploring entrepreneurship; previously helped develop corporate venture capital at Siemens and AVEVA and ran end-to-end diligence through deal close, with heavy technical diligence on pre-seed/pre-revenue companies. Interested in building an AI-enabled hard lending/origination approach to reduce decision-to-close time and scale in a large lending market, and prefers VC studio/EIR models with paid roles rather than equity-only arrangements.”
Suqing Liu
Junior Applied AI Software Engineer specializing in LLM agents and RAG systems
“Engineer focused on AI-powered developer automation and agent-driven software delivery, with experience spanning customer-facing edtech and internal tooling. They describe building a K-12 chatbot-based learning platform for the York Region public school system and creating internal automations like code-generation pipelines and diff summarization tools adopted across teams, alongside work on legacy encrypted messaging systems at Instagram/Meta.”
Yishi Wang
Junior Machine Learning & Data Science professional specializing in LLMs and analytics
“Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.”
Junior Mechanical Engineer specializing in robotics, mechatronics, and test automation
Senior Computational Materials Scientist specializing in ML-driven molecular simulations
Mid-level Software Engineer specializing in ML-driven software testing and developer tools
Akshat Shah
Entry-level Software Engineer specializing in full-stack and AI systems
“Frontend-leaning full-stack engineer who described owning an artist search and detail experience across UI, backend integrations, and data modeling. They show practical strength in scalable React architecture, TypeScript safety, and performance tuning, with a product-minded approach to shipping 0→1 features quickly and iterating after launch.”