Fast Document Intelligence and Technical Career Tools.
Devora brings fast local document retrieval, realistic mock interviews, and resume analysis into a single, focused workspace.
Built for Engineers Who Need Fast, Verifiable Answers.
Devora was founded by Sami Malik to give software engineers and students tools that provide verifiable, sub-second responses without switching between separate utilities.
Most AI workflows are fragmented across separate tools—one tab for PDF search, another for interview prep, and disconnected chat windows with no memory. Devora integrates these tasks into a single platform backed by local GPU embeddings, page-level citations, and interactive technical interview simulations.
“When studying a 400-page systems textbook or preparing for a technical interview, guessing and hallucinations waste time. Devora provides answers grounded in exact page references so you can verify claims instantly.”
Core Architecture Principles
Designed for fast retrieval, source verification, and practical interview preparation.
Sub-Second Vector Search
Harnesses local GPU embeddings (`BAAI/bge-base-en-v1.5` in CUDA FP16) to vectorize hundreds of text chunks in milliseconds, eliminating queue delays and third-party rate limits.
Page-Level Source Citations
Every document answer includes clickable page tags (`[Page X]`). Selecting a citation jumps directly to the highlighted source excerpt in the PDF viewer.
Realistic Technical Preparation
Practice interactive system design and behavioral interviews, audit your resume against target job requirements, and identify missing technical competencies.
Ready to explore Devora?
Search technical papers, run practice interviews, and optimize your resume in minutes.