- Collaborated with Machine Learning Scientists to generate Docker-based SageMaker Models to enhance Post Gate Detection Systems- Optimized OpenSearch based data analytics tool to help Risk Investigators identify malicious activity while reducing overall cost by 25%- Developed a low latency Docker based custom Apache Tomcat microservice that utilizes DynamoDB to provide critical data to At Gate Detection Systems - Led a cross-team initiative to increase data throughput for additional data aggregation and computation which resulted in the creation of a new data stream using Amazon Kinesis which increased Risk Detection Rate by 10%- Constructed a complete CI / CD Pipeline in order to automate the productionization and performance evaluation of SageMaker Models using a custom Docker Image Builder and Python Scripts

- Identified key requirements based on an ambiguous problem that led to the creation of serverless cloud-based full stack service, built with AWS CDK, ECS, and Apache Tomcat, to assist Risk Investigators with their inquiries into bad actor behavioral patterns- Generated a complete Docker based Elastic Container Service that utilizes Amazon message based service SQS in order to help optimize existing Post Gate Risk Detection System which decreased latency by 30% and reduced cost by 17%- Optimized data stream pipeline by generating a compression solution that reduces overall cost by 40% while increasing data throughput by 200%- Built integration tests, utilizing Amazon SQS, DynamoDB, Amazon SNS, and AWS Lambda, in order to verify the performance of Post Gate Risk Detection System which prevented more than a dozen code changes that would have led to production system outages

CSE 12 - Basic Data Structures: Enabled students to learn implementation and use of Stack/Hash Table/Linked List/ Binary Search Tree in Java/C/C++.CSE 15L - Software Tool & Techniques: Guided students developing in Linux Environment using IDEs and other tools.CSE 95 - Tutor Apprenticeship: Lead initiative in developing the next generation of CSE TutorsCSE 110 - Software Engineering: Enforced core Agile concepts and different technologies used in the industry.

- Coordinated with various departments to highlight computing educational paths provided in order to give students insight- Collaborated with team members to update the program website in order to enable students to learn about the many computing paths found on campus.

- Collaborated with Scientists to integrate toolkits together to provide insights into Acoustic/ Language Model Training results to improve the accuracy of Alexa’s Speech Recognition in Python- Coordinated with customer needs to create a new visualization tool using Angular, and Python to give scientists a better understanding of model decisions using a network graph representation

- Cooperate with team members to create a sustainable and interactive tool, using ReactJS, for students to create their projects.- Collaborated with instructors in order to ensure the best experience when aiding and communicating with students

- Created a voice assistant that uses a natural language processor developed in JavaScript and Angular, allowing ease of use for an internal tool used by thousands of employees.- Enabled voice assistance to learn from user input using machine learning algorithms developed in Python in order to allow the most optimal results for any given user.