Anupreet Singh

About

AI intern who built core pieces of Cyberdome, a full-stack agentic compliance automation product using Next.js, Python, RAG, Qdrant, and NIST control retrieval. Stands out for combining frontend product work with backend LLM infrastructure, on-prem/local model deployment, and practical iteration based on user trust concerns around proprietary data.

Key Strengths

• Built full-stack AI compliance product in production
• Strong RAG and chunking strategy design
• Cybersecurity compliance domain knowledge
• Cross-stack development across Next.js, TypeScript, and Python
• Pragmatic architecture decisions for ML-heavy systems
• Experience integrating cloud and local LLM options
• Iterated on user trust concerns around data privacy
• Zero-to-one MVP development with direct stakeholder collaboration
• Designed AI experiences for non-technical users
• Hands-on validation of AI output quality with expert review

Reference Highlights

• strong full-stack engineering work
• built production REST APIs
• developed internal tools that reduced manual work significantly
• stable API performance
• contributed to an important AI-assisted training and evaluation program
• worked on core workflow
• built AI-assisted evaluation pipeline
• handled bugs effectively
• performed well across frontend and backend work
• built a React and TypeScript interface for platform users
• communicated well
• proactively asked questions to resolve doubts
• navigated ambiguity well
• figured out the right path before execution
• shipped zero-to-one work successfully
• handled urgency very well
• prioritized critical issues appropriately
• performed root cause analysis on bugs

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