• Assisted in delivering lectures and managing coursework for Introduction to Computer Science and Engineering and Machine Learning courses, enhancing student engagement and understanding• Prepared and graded assignments, quizzes, and exams, providing constructive feedback to students to help them improve their academic performance

Client: Citi• Developed ETL processes using AWS Glue and Step Functions, improving data workflow efficiency.• Implemented ML models in Amazon Sagemaker for predictive analytics and anomaly detection• Leveraged LLMs and AWS AI/ML services to create intelligent data pipelines, reducing manual intervention.• Utilized generative AI models to refine pipeline processes and improve data quality• Built ETL pipelines with AWS Glue to preprocess data for model trainingClient: Wells Fargo• Developed high-performance ETL tools using Python and Apache Spark, increasing data migration speed• Architected a multi-source data ingestion framework with Kafka, enhancing data consistency.• Implemented modular DBT models for data transformation, improving pipeline performance.• Optimized data pipelines using PySpark, reducing processing time for ML tasks.• Implemented ML models in Python to detect and handle data anomalies, enhancing data integrity.

Project Title - Prediction Model for Global Financial Markets using Python

Project Title- REVIEW AND ANALYSIS OF CERTIFICATE LESS DIGITAL SIGNATURE SCHEME