CHETAN PANGAM

Results-driven Software Engineer with a Master's in Computer Science from Santa Clara University and extensive experience in software development, deployment, and optimization. Skilled in Java, Python, SQL, and cloud technologies (AWS, Docker, Kubernetes). Strong background in database management, web development, and algorithm design. Proven track record in implementing REST-based applications, automating testing with PyTest, and developing solutions on Splunk and Phantom platforms.

Efficient Algorithm for Dynamic Inference of Virtual Machine Resource Needs in Cloud Computing

• Designed and implemented an algorithm using Java and Python to efficiently and continuously infer virtual machine (VM) needs and meet them appropriately using Docker containers. This initiative optimized resource allocation and improved system performance.

Performance Evaluation of a Query Optimizer using ORACLE Database and Hadoop Hive

• Executed curriculum projects involving complex queries on the Yelp dataset, developed query plans, and compared execution times on Oracle and Hive. Demonstrated proficiency in data analysis and database management.

Student Information System

• Created a Student Information System website utilizing the Ruby on Sinatra web application library and Sqlite3 database. Efficiently launched the website on the Heroku cloud platform, highlighting expertise in web development and cloud deployment.

Scheduling in Distributed Systems

• Researched and demystified scheduling and co-scheduling techniques in Distributed Systems. Implemented the Stride scheduling algorithm using core Java, showcasing expertise in distributed systems and algorithm design.