Shruthi nair

Designed and implemented pre- and post-processing guardrails for an internal contract summarization engine, leveraging NLTK and other NLP/ML algorithms for enhanced performance. Led the creation of a golden dataset to evaluate and improve Apple’s proprietary Apple Foundation Model (AFM) for legal contract analysis. Additionally, designed and deployed a multimodal video parsing pipeline for interna

Created and optimized NLP models for customer sentiment analysis and chatbot development, applying embedding models and vector databases to enhance search capabilities. Implemented and fine-tuned machine learning models for network traffic analysis, fraud detection, and predictive maintenance, utilizing RAG architecture to improve information retrieval. Automated cloud infrastructure deployment fo

Developed and implemented machine learning models for patient risk prediction and treatment outcome analysis using Python libraries and Apache Spark. Performed text analytics and natural language processing on medical literature and patient records to extract valuable insights. Designed and implemented PySpark-based ETL workflows, ensuring compliance with HIPAA regulations, and utilized Keras for

Wrote and optimized SQL queries and assisted in developing ETL/ELT processes using SSIS for financial transaction data. Created and maintained data visualizations and dashboards using Tableau to display key banking metrics. Gained exposure to big data technologies like Hadoop and Spark for processing large volumes of banking data, and assisted in managing CI/CD pipelines using GitHub and Jenkins.

Completed a Bachelor of Technology degree, gaining foundational knowledge and practical skills in engineering. Engaged in coursework and projects relevant to the field of study.

Pursued a Master of Science in Computer Science, focusing on advanced topics and research within the field. Developed a strong foundation in theoretical and applied computer science principles.