Dilip Kumar

Worked on Web App, Mobile App and Ruby on Rails Prototype

Web: https://www.flexcar.com
Play store: https://play.google.com/store/apps/details?id=com.flexcar.flexcar&hl=en_US
App Store: https://apps.apple.com/us/app/my-flexcar/id1548544372?l=ru
Tech: Typescript, React, React Native, GraphQL, Jest, Ruby on Rails

• Developed JARVIS, centralized admin platform. Utilized micro frontend architecture to optimize customer data management resulting in 20% reduction in infra cost and easy access for all customer info at one place
• Created captivating homepage banners for Flexcar 2.0 campaign, resulting in increased click through rates by 20%
• Implemented Self-Service Appointment Booking System at Flexcar to reduced burden on Care Ops team. Allowing customers to handle their own appointments resulted in 30% decrease in appointment scheduling time. Also led to around 10% increase in service bookings
• Created prototype for Flexcar lite in Ruby on Rails, focused on quick car booking experience
  Improved GitLab CI/CD and unit testing in mobile app to ensuring code quality and streamlined development processes

Worked on Web app and Marketing Website
Web App: https://sit.osfin.ai

Marketing Website: https://www.osfin.ai

Tech: React, React Query, React Table, Recharts, ChartJS, Formik

• Designed centralized UI theme provider system using Context API
• Created role based access control and environment based feature enable/disable module.
• Created reusable Table (React Table) component with advanced features such as expansion of rows, editable fields, resize of columns and pre-selection of data based on configuration provided.
• Enabled implementation of custom dashboards using ChartJS and Recharts library for customers to analyze their cash flow while doing recon
• Localized app using react-i18. This also included formatting of amount and counting standards
• Lead and mentored team of 3 members in frontend

Worked on Delightree Web app and Mobile App (version 2 and version 3)

Web: https://beta.delightree.com

Play store: https://play.google.com/store/apps/details?id=com.delightree

App Store: https://apps.apple.com/in/app/delightree/id1505988671

Tech: React Native, React, Realm, GraphQL, CometChat, Heap Analytics, Sentry, Intercom

• Developed web app and mobile app V2 from scratch
• Created action queue for file uploading feature which also provided retries in case of failure
• Used Realm and Apollo cache to enable offline capabilities such as bookmarking and document colloboration
• Developed document editing features in mobile app using WebVIew. Used react-native-react-bridge with WebView cache to improve performance drastically.
• Automated deployment for both web and mobile app using GitHub Actions and AppCenter

Worked on: KredX App (Version 1 and Version 2), MANDII

Published KredX on Play store:

https://play.google.com/store/apps/details?id=com.kredxinvest&hl=en_IN&gl=US

Published KredX on App Store: https://apps.apple.com/in/app/kredx-invest/id1428625124

Tech: React Native, React, Redux Saga, Redux Form, Hooks, Sentry, UXCam, Mixpanel

• Migrated react native from 0.52 to 0.60
• Used Firebase Remote Config to control appearance of app during trading festival.
• Enabled OTA app updates using Native Modules and CodePush
• Automated mobile app deployments using App Center and integrated App Center diagnostics SDK to diagnose app crashes
• Implemented toggle theme feature using Context API
• Used tools such as Flipper, Android studio and Xcode to perform sample profiling of app. This resulted in performance improvements and reduction in app size by 33 percent
• Wrote NPM script to automate and standardize pipelines for app deployment
• Used Context API to design store instead of Redux in MANDII app

Work sample at: https://github.com/d49mark/Deal_Creation_0.0.1.git

Tech: React Native, React, Redux Saga

• Worked on different apps and created two whole app from scratch single handedly.
• Created chatbot for financial organization

• Adaptive Learning Based Directional MAC Protocol (AL-DMAC) - Proposed adaptive leaning based directional MAC (ALDMAC) which works on machine learning algorithm known as Reinforcement Learning (RL) . Analyzed performance logs for AL-DMAC and MD-MAC in terms of Jain's fairness index and Throughput.
• Dead Lock Security System - Built automatic lock which shuts door based on number of persons and can only be opened using pin.
• Database For Recruitment Management Company - Database was prepared from scratch for company or agencies which manages new recruits for other companies SQL was used as query language and tool used was pgAdminIII.
• Speech Recognition App - Built using MATLAB which can process Human Spoken words such as ‘Yes’ and ‘No’ using Vector and DCT Algorithm

CGPA: 6.23/10

CGPA: 8.20/10

CGPA : 7.80/10