About

Rajesh Satpathy is a skilled and motivated System Engineer Specialist with experience in back-end and database management projects. He is currently pursuing a Master's degree in Computer Science at Texas A&M University and is actively seeking full-time opportunities in the field. Rajesh has a strong technical background in MEAN Stack, Java Springboot, Python Machine Learning, and Data Mining libraries, as well as experience in Algorithmic Problem Solving. Rajesh is currently working as a Data Science Researcher at urban resilience.ai labs, where he is involved in geological feature extraction for Soil and Land Cover datasets as part of initial research efforts. Previously, he worked as a Data Science Research Assistant at urbanresilience.ai lab at Texas A&M University, where he designed backend APIs and modular front-end for machine learning models on Python's Django framework, as an effort toward obtaining interactive and intuitive research results. He has also worked as a Software Engineer Intern at emetric, where he upgraded microservice-based APIs from .NET 3.1 to .NET 6.0, improving code efficiency by 30% and reducing code redundancy across projects. He collaborated to develop multi-threaded, distributed, and scalable load tests for newer and updated API endpoints as insight into APIs that might need efficiency improvements. Rajesh completed his undergraduate degree in Computer Science from KLE Technological University. He has a strong educational background in Algorithms, Machine Learning, Artificial Intelligence, and Computer Science. He also completed his 10th grade from G.V. Joshi Rotary High School. Rajesh's technical skills include Software Engineering, Research Science, Data Science, Machine Learning, Backend, Python, Spring Boot, Java, Microservices, and Frontend. He has 1.45 years of relevant experience in the field. Rajesh is a highly motivated individual with a passion for technology and a strong desire to learn and grow in his career.