Amritansh Vajpayee
Software Engineer at Motive
Lucknow, Uttar Pradesh, India
Summary
👤
Senior🎓
Top SchoolAmritansh Vajpayee is a Software Engineer with eight years of hands-on experience building backend systems and improving front-end UX, currently working at Motive after a four-year tenure at FourKites where he optimized API performance and reduced response times for the Dynamic Yard product. A B.Tech in Computer Science from Chandigarh University, he pairs production-grade backend skills—SQL optimization and cost-cutting operations—with front-end contributions to notable open-source projects like caMicroscope, enhancing UI workflows for digital pathology. He has experience mentoring as a teaching assistant at Scaler and has dabbled in deep learning content, reflecting a blend of engineering rigor and instructional ability. Based in Lucknow, he’s open to new opportunities and brings a pragmatic focus on performance, usability, and measurable impact.
9 years of coding experience
4 years of employment as a software developer
10+2, Science, 91%, 10+2, Science, 91% at City Montessori SchoolB.Tech, Computer Science, 8.1, B.Tech, Computer Science, 8.1 at CHANDIGARH UNIVERSITY
English, Hindi
Stackoverflow
11reputation
239reached
2answers
1question
Github Skills (16)
digital-pathology10
javascript10
front-end-development10
ui-design9
interface-design9
html9
css9
user-interface9
image-scanning8
slide8
imaging8
code-coverage6
coveragepy6
pytorch6
python6
Programming languages (4)
Github contributions (5)
camicroscope/caMicroscope
Mar 2020 - Nov 2020
Digital pathology image viewer with support for human/machine generated annotations and markups.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:10 commits, 14 PRs, 11 comments in 8 months
Contributions summary:Amritansh primarily focused on enhancing the user interface and functionality of the `camicroscope` application. They added features like tooltips and implemented modal boxes for user interaction, specifically in the segmentation and model applications. A significant portion of their work involved modifying UI components and adding functionality related to model management, including editing class lists and displaying confirmation popups. These changes demonstrate a focus on improving the user experience within the digital pathology image viewer.
digital-pathologyimage-viewerwhole-slide-imagingcamicroscopeslide-images
amritansh22/Object-Detection-and-Extraction
Mar 2020 - May 2021
Contributions:41 commits, 2 PRs, 36 pushes in 1 year 2 months
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