Mayank Nigam Email & Phone Number
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Mayank Nigam is listed as Senior Frontend Developer at Level AI, a with 209 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a matched LinkedIn profile for Mayank Nigam.
Mayank Nigam previously worked as Member of Technical Staff 4 at Thoughtspot and Member of technical staff 3 at Thoughtspot. Mayank Nigam holds Master Of Technology - Mtech, Computer Science from International Institute Of Information Technology – Bangalore.
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About Mayank Nigam
Specializing in ReactJS, I bring a comprehensive skill set to the table, including expertise in Jest for robust unit testing, Protractor for end-to-end testing, and Playwright for cross-browser testing, ensuring the highest quality in code coverage. I have a proven track record of building dynamic and responsive user interfaces. My expertise extends to integrating GraphQL into React applications, enabling efficient and flexible data fetching. From component-based architecture to state management using Redux, my hands-on experience in ReactJS allows me to craft seamless and engaging user experiences that meet and exceed project requirements.🚀 Let's Collaborate:I am always open to discussions about front-end development, design patterns, algorithms, and ReactJS. If you're seeking a passionate and technically proficient collaborator for your next project, let's connect!
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Mayank Nigam work experience
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Member Of Technical Staff 4
CurrentLiveboard Performance Improvements: The Liveboard Performance Enhancements project focuses on optimizing the user experience by implementing several key strategies. Firstly, the project aims to reduce the number of Apollo watchers, thereby enhancing overall performance by minimizing unnecessary reactivity. Additionally, the project addresses the issue of dangling hidden menus associated with each visualization, streamlining the interface for improved clarity and responsiveness. Furthermore, the… Show more Liveboard Performance Improvements: The Liveboard Performance Enhancements project focuses on optimizing the user experience by implementing several key strategies. Firstly, the project aims to reduce the number of Apollo watchers, thereby enhancing overall performance by minimizing unnecessary reactivity. Additionally, the project addresses the issue of dangling hidden menus associated with each visualization, streamlining the interface for improved clarity and responsiveness. Furthermore, the implementation of a cache-centric approach is introduced, allowing the application to read data directly from the cache instead of making redundant queries, significantly reducing network requests and accelerating data retrieval times. Developed within the context of a web application, these enhancements leverage technologies like Apollo for efficient data management and React for a responsive user interface. Thorough testing, particularly focused on improved loading times and reduced network overhead, accompanies comprehensive documentation to guide developers through the implementation, ensuring a seamless and high-performance Liveboard experience.Sentry integration: The integration of Sentry.io into our project is a pivotal step toward bolstering the project's reliability and enhancing error monitoring. By seamlessly incorporating Sentry.io's robust error tracking and logging capabilities, we gain real-time insights into application errors, exceptions, and performance issues. This integration provides a centralized platform for error monitoring, allowing our development team to promptly identify, diagnose, and address issues before they impact the end users. Show less
Member Of Technical Staff 3
Pinboard Actions: The Pinboard Multiple Actions Project focuses on enhancing the functionality and user interaction of the dashboard with visualizations by incorporating a variety of actions. Developed using TypeScript, React, React-Context and tested using Jest and Playwright.Setting up React Context for the whole Pinboard: Setting a Context for different boxes in Pinboards in an efficient and maintainable manner for abstracting the complexity.Custom Tiles in LIveboard: It is… Show more Pinboard Actions: The Pinboard Multiple Actions Project focuses on enhancing the functionality and user interaction of the dashboard with visualizations by incorporating a variety of actions. Developed using TypeScript, React, React-Context and tested using Jest and Playwright.Setting up React Context for the whole Pinboard: Setting a Context for different boxes in Pinboards in an efficient and maintainable manner for abstracting the complexity.Custom Tiles in LIveboard: It is implemented using the ReactGrid framework, and introduces a dynamic and user-centric approach to tile layout customization. Utilizing a responsive grid system where the width of the screen is divided into 12 columns, users can now intuitively adjust the size of tiles via a drag-and-drop interface.Date Picker with Rolling and Fixed Filtering: This project allows users to choose dates for analysis, incorporating two distinct filtering modes: Rolling Date and Fixed Date. The Rolling Date feature enables dynamic filtering based on predefined time intervals such as the last 7 days, last month, or last quarter, facilitating quick analysis of recent data. Simultaneously, the Fixed Date option empowers users to select specific start and end dates for more granular and precise filtering Show less
Member Of Technical Staff 2
Filter UX => Attribute, Measure, and Date Filters: The Filter UX Project in React aims to elevate the user experience by implementing intuitive filtering mechanisms for attribute filters, measure filters, and date filters within a web application. Utilizing React, the project entails creating modular and responsive components for all filter modals.Migrating Pinboard V1 to Pinboard V2 in React: The Pinboard Migration Project involves transitioning from Pinboard V1, built on Angular… Show more Filter UX => Attribute, Measure, and Date Filters: The Filter UX Project in React aims to elevate the user experience by implementing intuitive filtering mechanisms for attribute filters, measure filters, and date filters within a web application. Utilizing React, the project entails creating modular and responsive components for all filter modals.Migrating Pinboard V1 to Pinboard V2 in React: The Pinboard Migration Project involves transitioning from Pinboard V1, built on Angular, to Pinboard V2, developed with React, to deliver a more robust and modern dashboard experience. This migration encompasses redesigning and reimplementing the entire dashboard architecture, leveraging React's component-based structure for improved modularity and maintainability. Thorough testing, including regression testing of existing features, is undertaken to ensure a smooth transition. Show less
Member Of Technical Staff
Migrating Pinboard to adopt new Answer in old pinboards, AnswerV2InPinboardV1: This migration aims to seamlessly integrate modern React-based visualizations with the existing Angular Pinboards. The phased rollout strategy prioritizes minimal disruption, allowing users to gradually transition to the enhanced Pinboard system with React-based visualizations
Intern
Multi-level and selective filtering: It is a feature that allows users to apply filters at various hierarchical levels and on selective visualizations. The project also includes thorough documentation for contracts and technical approaches.
Teaching Assistant (Algorithm And Data Structures)
Colleagues at Level AI
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Ankita Solanki
Colleague at Level AiIndia
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Sanjeev Kumar
Colleague at Level AiDelhi, India
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Nikita Gatagat
Colleague at Level AiPune, Maharashtra, India
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Ayush Pallav
Colleague at Level AiDelhi, India
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David Lamb
Colleague at Level AiJacksonville, Florida, United States
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Apoorva Turup
Colleague at Level AiHyderabad, Telangana, India
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Kaustubh Kamble
Colleague at Level AiMumbai, Maharashtra, India
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Pramod Choudhari
Colleague at Level AiPune, Maharashtra, India
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Kaustav R.
Colleague at Level AiIndia
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Jake Baldwin
Colleague at Level AiSan Francisco, California, United States
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Mayank Nigam education
Master Of Technology - Mtech, Computer Science
Bachelor Of Engineering (B.E.), Information Technology
Frequently asked questions about Mayank Nigam
Quick answers generated from the profile data available on this page.
What company does Mayank Nigam work for?
Mayank Nigam works for Level AI.
What is Mayank Nigam's role at Level AI?
Mayank Nigam is listed as Senior Frontend Developer at Level AI.
Where is Mayank Nigam based?
Mayank Nigam is based in Bengaluru, Karnataka, India while working with Level AI.
What companies has Mayank Nigam worked for?
Mayank Nigam has worked for Level Ai, Thoughtspot, and International Institute Of Information Technology Bangalore.
Who are Mayank Nigam's colleagues at Level AI?
Mayank Nigam's colleagues at Level AI include Ankita Solanki, Sanjeev Kumar, Nikita Gatagat, Ayush Pallav, and David Lamb.
How can I contact Mayank Nigam?
You can use AeroLeads to view verified contact signals for Mayank Nigam at Level AI, including work email, phone, and LinkedIn data when available.
What schools did Mayank Nigam attend?
Mayank Nigam holds Master Of Technology - Mtech, Computer Science from International Institute Of Information Technology – Bangalore.
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