Parth Babariya
Public-work score
Cross-checks resume claims against public GitHub work. Higher scores mean stronger corroborating evidence.
Demonstrated capabilities
Pinned repo 'Parth-Babariya/Cost-Aware-Prompt-Router' (Jupyter Notebook) and 'Parth-Babariya/Geometry-SME-AI-Agent' (Python) demonstrate LLM application development efforts.
Resume claims a 'token-level cost simulation and evaluation pipeline' for the Adaptive LLM Routing System, corresponding to the 'Cost-Aware-Prompt-Router' GitHub repo.
Resume details 'Agentic Scholar RAG' project, including hybrid retrieval, vector embeddings, and RRF, indicating RAG pipeline development.
Resume claims 'Agentic Scholar RAG' used LangGraph agents, and pinned repo 'Parth-Babariya/Geometry-SME-AI-Agent' is titled for an AI agent.
Resume details 'Retail Demand Forecasting System' using Transformer + XGBoost, and training a RoBERTa-large classifier, demonstrating classical ML skills.
Resume describes 'Adaptive LLM Routing System' achieving '35-40% estimated cost reduction' and a 'token-level cost simulation', indicating inference optimization focus.
Resume describes 'automated ingestion, indexing, and retrieval pipelines' for Agentic RAG and 'preprocessing pipelines' for Retail Demand Forecasting, alongside Airflow use.
GitHub activity
Verified stack
Key evidence
- GitHub primary stack shows 71.2% Jupyter Notebook and 16.5% Python.
- Total contributions are 95 commits over 1.9 years, with active weeks at 26% of the year.
- The pinned repo 'Parth-Babariya/Cost-Aware-Prompt-Router' (Jupyter Notebook) aligns with a claimed LLM project on the resume.
- Zero stars, forks, or merged external PRs across 31 public repositories.
- GitHub account age (1.9 years) is consistent with student status and recent B.Tech completion.
Scored 26 Jul 2026