Rishabh Sharma

Software Engineer

Bengaluru, Karnataka, India4 yrs 6 mos experience

Most Likely To Respond

Key Highlights

Expert in React and Vue.js for dynamic web applications.
Proven track record in optimizing web performance and SEO.
Developed high-accuracy machine learning models during internship.

Stackforce AI infers this person is a Frontend Developer with expertise in SaaS and B2C applications.

Contact

rishabhsharma3108@outlook.com LinkedIn

Skills

Core Skills

Vue.jsFlaskReactNext.jsNode.jsMachine Learning

Other Skills

Apollo GraphQLCSSConvolutional Neural Networks (CNN)DockerDocker ProductsGitGraphQLHTML5KerasPythonReact NativeSEOScikit-LearnStorybookTensorFlow

About

Frontend developer with over 4 years of experience specializing in React and Vue.js, with expertise in building dynamic, user-friendly web applications. Skilled in mobile development using React Native, delivering seamless cross-platform experiences.

Experience

Esentire

Software Engineer

May 2024 – Present · 1 yr 10 mos · Remote

> Contributed to developing the internal Vue component library, creating reusable components (e.g., table, expression builder, lightbox, cards, inputs) and writing dedicated tests using Storybook to ensure quality and consistency.
> Updated the user onboarding process in the React application, which included integrating and updating vulnerability scanning sensors associated with the user account.
> Wrote and optimized APIs using Flask and Python for the user onboarding process and managed their
deployment using Docker containers.
> Implemented a generic frontend solution for identity provider disable functionality in the Threat Resolution panel, ensuring new identity providers can be added or removed by the backend without requiring frontend code updates.

Vue.jsFlaskPythonDocker

Vital b2b pvt ltd

Software Engineer

Jul 2021 – Mar 2024 · 2 yrs 8 mos · Bengaluru, Karnataka, India · Hybrid

> Optimized web performance and visibility by increasing the website's SEO score from 86 to 95 through a comprehensive strategy that included defining metadata, enhancing accessibility, and implementing lazy loading for images and router page components.
> Improved the initial website load time by 2.14 seconds by transferring static pages such as home, about us, and contact us to Next.js.
> Migrated high-traffic static pages to Next.js within a Module Federation Micro-Frontend architecture,
resulting in a 2.14-second reduction in initial load time.
> Wrote Node.js and GraphQL APIs to serve as a middleware layer for data consumption and synchronization between the Frontend application and the Java Backend.
> Developed the Dispatch Management System to merge orders with the same pincode for consolidated dispatch, and implemented tracking of order statuses.
> Developed the complex Product Details Page for the B2C notebook site, which dynamically renders SKU options (pages, size, packs, ruling) and implements conditional logic to ensure options are updated based on user-selected inventory availability.

Next.jsNode.jsGraphQLSEO

Meity- nasscom center of excellence

Machine Learning Intern (The School of AI)

Oct 2019 – Feb 2020 · 4 mos · Bengaluru, Karnataka, India

-> Created a model with an accuracy of 99.85% for identifying a person's age, sex, and mood using pre-processed image datasets, which were tested on various test datasets.

Machine LearningTensorFlowKeras