LodeAI - AI-Powered Technical Recruitment Platform
Automating technical hiring
Year
2025
Type of Project
AI Product / Applied Machine Learning & LLM Systems Project
My Role
Lead AI Engineer
Case Study
Objective
Build an AI-native recruitment platform that automates technical interviews and candidate evaluation to reduce manual screening effort, improve consistency, and enable faster, data-driven hiring decisions.
https://github.com/ujjwalredd/LodeAI
Process
Designed the overall system architecture for an AI-powered technical recruitment platform using LLM-driven interview agents and scalable backend services.
Implemented AI interview workflows to conduct structured technical interviews and capture candidate responses automatically.
Developed evaluation logic to score candidates consistently and generate structured insights for recruiters.
Integrated interview integrity and validation mechanisms to improve reliability of AI-based assessments.
Built modular components to support multiple technical roles and future expansion.
Outcome
Delivered a functional AI-driven recruitment platform capable of automating technical interviews end to end.
Reduced reliance on manual interviewer time by shifting early-stage screening to AI workflows.
Standardized candidate evaluation to improve fairness and consistency across interviews.
Established a scalable, production-ready foundation for enterprise technical hiring automation.
Standout Features
AI Interview Agents
Consistent & Bias-Aware Evaluation
Cheat & Integrity Detection
End-to-End Hiring Workflow Automation
LLM-Centric, Modular Architecture