Sneha Mohite

As a Senior Machine Learning Engineer, I’ve driven impactful AI initiatives, from architecting backend platforms to developing and deploying advanced machine learning solutions. Highlights include boosting search platform engagement by improving image search accuracy via Google Product Search. I led a high-impact ML pipeline on Databricks, saving $150M annually, and implemented MLflow for lifecycle management. My work spans automating document validation with AI models, developing custom object detection with Google Document AI, RAG applications, and creating a Power BI dashboard for data-driven reporting.

Fine-tuned and deployed SOTA language models (BERT, GPT-3, GPT-Neo) for analyzing employee surveys, extracting actionable insights from unstructured data to support HR decision-making. Automated feedback extraction and summarization, enhancing employee engagement with more insightful reports for HR and management. Built a BERT-based sentiment analysis solution, fine-tuning and optimizing pipelines for accurate, granular feedback. Designed automated data preprocessing workflows using Azure ML, boosting data pipeline efficiency. Trained an XGBoost model with 78% accuracy for predicting client deal outcomes, aiding strategic decisions.