Sanjana Krishna
About Sanjana Krishna
Sanjana Krishna is a Software Engineer II at Flexport in Chicago, Illinois, with a background in software development and web development, holding a Master's degree in Computer Science from the University of Southern California.
Company
Sanjana Krishna is currently employed at Flexport, a global logistics and freight forwarding company, as a Software Engineer II. She works out of the Chicago, Illinois office. Flexport is known for its innovative approach to supply chain and logistics challenges.
Title
Sanjana Krishna holds the title of Software Engineer II at Flexport. In this role, she contributes to the development and enhancement of software tools that facilitate the company's logistics operations.
Education and Expertise
Sanjana Krishna completed her Master of Science (MS) in Computer Science at the University of Southern California from 2019 to 2021. She previously achieved a Bachelor of Engineering (BE) in Computer Engineering from Bhartiya Vidya Bhavans Sardar Patel Institute of Technology in Mumbai, where she studied from 2014 to 2018. Her educational background has equipped her with a strong foundation in software development and computer science principles.
Professional Background
Sanjana Krishna has a diverse professional background in software development. She began her career at Gromor Finance as a Software Developer from 2018 to 2019, followed by a stint as a Web Developer at USC Annenberg School for Communication and Journalism from 2019 to 2020. Sanjana then joined Rainmaker Infotech as a Software Design Engineer and worked there for six months before moving to Flexport in 2021. Initially, she served as a Software Engineer and was later promoted to Software Engineer II in 2022.
Achievements
Sanjana Krishna has contributed significantly to her workplaces. At Flexport, she developed internal tools that enhanced operational efficiency and mentored new hires. She participated in and won the 'Best Innovation' award at a Flexport hackathon. During her tenure at Rainmaker Infotech, she developed a machine learning model that optimized resource allocation. Additionally, she led a team project at Gromor Finance that resulted in a 20% reduction in loan processing time.