Yamini Bisht

B.Tech CSE (AI/ML) student with hands-on experience building computer vision pipelines, deep learning models, and NLP systems using Python, PyTorch, and TensorFlow. Proven ability to implement research-backed architectures, engineer end-to-end data pipelines, and deploy production-ready models. Seeking to apply multi-modal AI expertise to real-world geological pattern recognition and prediction challenges.

AI/ML Intern at IBM (2026-02 – 2026-03)

• Executed a complete supervised ML pipeline — data collection, EDA, preprocessing, missing value imputation, feature engineering, and hyperparameter tuning — achieving 88%+ classification accuracy on a structured business dataset.
• Applied rigorous experiment tracking and model evaluation across Accuracy, Precision, Recall, and F1-Score; performed feature importance analysis to identify top predictive signals.
• Translated technical model performance metrics into actionable insights for non-technical stakeholders, reflecting the cross-functional collaboration expected in domain-expert teams.

B.Tech in Computer Science Engineering (AI/ML Specialization) – Lloyd Institute of Engineering and Technology, AKTU (2023 – 2027)