Yeshwanth Devabhaktuni — Senior Software Engineer
As a software engineer at Jeeves, I deliver value to customers by using cutting-edge technologies and third-party API integrations on the front end and micro service layers. I use React 18, NextJs, TypeScript, Express.js, and MySQL to build scalable and user-friendly web applications. I also leverage my skills in jest and react testing library to ensure high-quality code and performance. I have a master's degree in data science from DePaul University, where I co-authored a paper on data visualization and natural language processing with Professor Eli Brown. I have a strong background in machine learning algorithms, information retrieval, and computer vision, which I apply to solve real-world problems. I am passionate about learning new technologies and frameworks, and I enjoy working in a highly productive and collaborative environment.
Stackforce AI infers this person is a Full-Stack Software Engineer with expertise in B2C SaaS applications.
Location: San Francisco, California, United States
Experience: 7 yrs 5 mos
Skills
- React Native
- React.js
- Typescript
- Javascript
- React
Career Highlights
- Led mobile onboarding for TikTok seller app.
- Developed scalable web applications using cutting-edge technologies.
- Co-authored a paper on data visualization and NLP.
Work Experience
ByteDance
Senior Software Engineer (1 yr 6 mos)
Jeeves
Software Engineer (2 yrs 6 mos)
Outdoorsy
Software Engineer (7 mos)
DePaul University College of Computing and Digital Media
Peer Tutor (2 mos)
Walmart Labs
Software Engineer (1 yr 8 mos)
Oplogic
Full Stack Engineer (4 mos)
Infinite Web Design
Web Developer (10 mos)
Walmart
Software Developer intern - Retail Technology (2 mos)
Education
Bachelor's degree at University of Michigan
Master's degree at DePaul University Jarvis College of Computing and Digital Media