Premchand Sepeni
Public-work score
Cross-checks resume claims against public GitHub work. Higher scores mean stronger corroborating evidence.
Demonstrated capabilities
Project 'AI Codebase Intelligence System' claims 'Developed an AST-based RAG pipeline using SentenceTransformers and FAISS'. Python/Jupyter Notebooks support prototyping RAG systems.
Projects 'Multimodal AI Copilot' and 'AI Vision Copilot' claim usage of YOLOv8, BLIP, and OpenCV. Python/Jupyter Notebooks are core to computer vision development and experimentation.
Skills section lists 'Regression, Classification, Support Vector Machines (SVM)' and 'Scikit-learn'. Python and Jupyter Notebooks are commonly used for classical machine learning tasks.
Internship at Edunet Foundation claims 'Designed and fine-tuned machine learning models'. Python and Jupyter Notebooks are suitable for model training and fine-tuning experiments.
Internship at UptoSkills claims 'Engineered data preprocessing pipelines for large-scale code datasets' and Edunet Foundation internship claims 'Performed data preprocessing, validation, and transformation'. Python is a common tool for batch data processing.
GitHub activity
Verified stack
Key evidence
- GitHub primary tech stack is 96.2% Jupyter Notebook and 2.9% Python.
- Total GitHub contributions are 209 (195 commits) over 1.6 years.
- Zero Dockerfile usage despite claims of using Docker.
- Zero external open source PRs merged.
- Only 1 total star across 17 public non-fork repositories.
Scored 29 Jul 2026