
HR management automation and workflow for hiring. This can help companies to hire employees easily and maintain the necessary audit logs. Google AI studio. This project is an end-to-end, AI-driven Software Development Engineer (SDE) hiring automation system built entirely using Google AI Studio. It transforms the traditional recruitment pipeline into a fully intelligent, scalable, and unbiased workflow. The system begins by ingesting job requirements and resumes, which are parsed using LLM-based extraction models to identify skills, experience, education, and project relevance. Google’s embedding models generate semantic representations of candidate profiles, enabling accurate skill-match scoring across DSA, system design, programming languages, and overall experience. A coding evaluation module grades solutions to complex algorithmic problems such as LRU Cache, Tarjan’s algorithm, DP optimization, and rate limiter implementation. This is followed by an AI-powered technical interview built with the Gemini model, asking hard DSA, problem-solving, and system design questions. Each response is auto-scored using a structured rubric. Both coding and interview scores are combined to compute a final score. The system then generates a salary offer dynamically: a perfect score yields a $200,000 package, which decreases by $20,000 for every point less. This creates transparent, performance-based compensation. If a candidate declines the offer, the workflow automatically moves to the next best-ranked candidate. A full audit trail, JSON-based outputs, evaluator comments, and explainability summaries are produced by Gemini, ensuring fairness and traceability. A dashboard displays Precision@10, NDCG, and candidate rankings to benchmark the system. Overall, the project showcases how Google AI Studio can automate and elevate the entire SDE hiring lifecycle using LLMs, embeddings, structured reasoning, and agentic workflows.
19 Nov 2025