Radhika Tekade

About Radhika Tekade

Graduated with a Master\'s degree in Mechatronics, Robotics, and Automation Engineering…

Experience

1. Ai Machine Learning Engineer

   CVS Health

   Feb 2024 — Present · US

   Fine-tuned transformer models (BioBERT, GPT-3, ClinicalBERT) on 10M+ unstructured data, achievingF1-score of 0.92, in collaboration with clinical teams. Delivered deep learning imaging solutions (U-Net, Mask R-CNN) on 100K+ scans, achieving Dice 0.9,reducing annotation time by 40%, and adapting methods across modalities. Built LLM-based retrieval-augmented generation (RAG) pipelines (FAISS, HuggingFace, GenAI), handling1M+ queries and improving contextual search accuracy by 25%. Performed feature engineering and preprocessing (normalization, encoding, PCA, clustering), and appliedclassical ML algorithms (Logistic Regression, Random Forests, Naive Bayes, K-Means), improvingbaseline models by 12% and ensuring interpretability. Designed CI/CD-enabled ML pipelines with monitoring and automated retraining on AWS (SageMaker,Lambda, Redshift)/GCP, achieving 99% uptime and enabling scalable, cross-team deployments. Applied reinforcement learning and personalization techniques to recommendation-like tasks, optimizingdecision-making and created Tableau/Matplotlib dashboards to present insights to leadership.