Mahesh Mahesh

Developed end-to-end machine learning pipelines for healthcare analytics, enabling automated processing and analysis of clinical datasets.
Built topic modeling and clustering pipelines using BERTopic (BERT embeddings + HDBSCAN) to extract insights from unstructured healthcare text data.
Engineered scalable AWS ML workflows using Lambda, ECR, and SageMaker, integrating FAISS vector search for efficient semantic similarity retrieval.

Developed end-to-end machine learning pipelines for healthcare analytics, enabling automated processing and analysis of
clinical datasets.
Built topic modeling and clustering pipelines using BERTopic (BERT embeddings + HDBSCAN) to extract insights from
unstructured healthcare text data.
•Engineered scalable AWS ML workflows using Lambda, ECR, and SageMaker, integrating FAISS vector search for
efficient semantic similarity retrieval.

Developed scalable full-stack web applications and backend services using modern frameworks and PostgreSQL databases.
Optimized database queries and API integrations to handle large datasets and improve application performance.
Collaborated with cross-functional teams to deliver production-ready features in agile development environments.

Developed scalable full-stack web applications and backend services using modern frameworks and PostgreSQL databases.
Optimized database queries and API integrations to handle large datasets and improve application performance.
Collaborated with cross-functional teams to deliver production-ready features in agile development environments.

Built a CNN-based image classification model for multi-class image recognition using Python and deep learning libraries.
Applied image preprocessing and data augmentation techniques to improve model accuracy and robustness.