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ENTERPRISE AI PLATFORMAuthor: Ayush Soni & Rishabh Sharma

HireCore OS — AI-Powered Candidate Evaluation & Assessment Platform

Full-Stack Node.js/Express + React 19 + Cerebras AI Inference Pipeline

HireCore OS Full Stack Architecture TopologyNODEJS + OAUTH + CEREBRAS(GPTOSS)
01
OAuth 2.0 Security Gateway
Google OAuth & JWT token validation
02
Cerebras Resume Evaluator
Job description match scoring
03
Technical Exam Engine
Dynamic 5-question mock interview engine
04
Analytics Dashboard
Real-time candidate score visualization
Client / Project Snapshot

HireCore OS is an open-standard, AI-powered evaluation operating system designed for software developers, candidates, and engineering teams. It bridges the gap between curriculum vitae parsing, domain-specific technical assessment, project-based oral examinations, and real-time performance analytics.

The Problem

Traditional technical candidate screening relies on manual resume reviews and generic multiple-choice tests that fail to evaluate project architecture, code ownership, or domain-specific depth, leading to high latency and candidate evaluation mismatches.

Role & Engineering Approach

Ayush Soni architected and developed the React 19 frontend and MERN platform capabilities, with Rishabh Sharma leading backend systems, REST API security, and Cerebras AI model integration (Llama 3.3 70B / GPT-OSS 120B). Built Docker containerization, HTTP-Only JWT auth, Google OAuth ID token verification, and dynamic resume parsing.

The Solution / Architectural Deliverables
  • •Smart Resume Analyzer: PDF extraction (pdf-parse), job description alignment, and 0-100 quantitative scoring matrix
  • •Subject Technical Interview Practice: 5-question dynamic exams across 9 CS domains (System Design, DSA, MERN, DevOps, C++, Python, Java)
  • •Resume Contextual Oral Exam: Project ownership testing parsing candidate CVs for architecture and implementation depth
  • •Tech Buddy AI Research Assistant: Ultra-low latency Cerebras inference with syntax-highlighted code rendering
  • •Multi-Factor Security & Auth: HTTP-Only JWT cookies, Google OAuth 2.0 ID token verification, and Mongoose account enums
Results / Impact Benchmark
Engineered 6 institutional-grade candidate evaluation modules with sub-second feedback latency, Dockerized environment orchestration, and persistent MongoDB session analytics.

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Technologies Used
React 19Node.js v22Express.jsMongoDBCerebras AI (Llama 3.3)DockerGoogle OAuthpdf-parseCloudinary