Shuvo Haldar

Shuvo Haldar

Full Stack Developer

Residence :

Khulna

Country :

Bangladesh


Coading

Node.js

90%

SQL & MongoDB

80%

React, Next & Vue

90%

Typescript

90%


Languages

%

English

(B2)

%

Bengali

(Native)

%

Hindi

(A2)


Knowledge

  • Basic of EC2 Instances
  • Git, GitHub, Hosting with VPS
  • Redux, RESTful API, Unit Testing
  • PostgreSQL. MySQL, MongoDB
  • Real time data transfer with Socket.IO
  • Experience

    Software Engineer

    Peasy AI

    Kuala Lumpur, Malaysia

    Feb 2023 - present

    Shuvo is very helpful with our Peasy.AI customers’ technical issues. He even coached me basic coding knowledge to better understand and identify the root cause of our customers’ issues. As a software engineer, his skills helped to improve our platform interface and performance as per requested by our CEO, with minimal supervision.

    Technology

    Vue.jsJavascriptSCSSEC2(AWS)Auto Scalling Group(AWS)AMIs(AWS)CSSRest APIsAxios

    Responsibilities

    Fixed bugs and added new automation features to the chat and automatic message reply platform, enhancing online business engagement by enabling instant customer interaction.

    Integrated AI-driven automation and response mechanisms into the Vue.js application, and developed an advanced customer management dashboard to help business owners efficiently manage their customer interactions.

    Implemented event-based action cable for real-time data transfer, allowing the UI to automatically update without a browser reload whenever there are changes in the server database.

    Deployed and managed the application on EC2 instances, utilizing Auto Scaling Groups for automated scaling and AMIs for consistent and efficient server provisioning.

    Collaborated closely with backend engineers to integrate Node.js server-side logic and manage MySQL databases, ensuring a robust and scalable chat application.

    Peasy Marketing

    https://app.peasy.ai

    Technology

    React.jsJavascriptRest APIEC2(AWS)Auto Scalling Group(AWS)AMIs(AWS)CSS

    Responsibilities

    Developed a comprehensive Facebook campaign management platform, utilizing React for an intuitive user interface and integrating Facebook Developer features for seamless campaign creation and management.

    Engineered a subscription-based campaign service, enabling users to effectively target specific Facebook users or regions, thereby optimizing product or service promotions.

    Enhanced the platform by fixing existing bugs and integrating advanced features, ensuring an improved and smooth user experience.

    Deployed and managed the Peasy Marketing application on AWS EC2 instances, leveraging Auto Scaling Groups for dynamic scaling based on demand and AMIs for maintaining consistent and reliable server environments.

    Technology

    Vue.jsAction cableJavascriptRest APIEC2(AWS)Auto Scalling Group(AWS)AMIs(AWS)CSSSCSS

    Responsibilities

    Developed a browser-based food ordering application for mobile devices using Vue.js, incorporating Action Cable for real-time data transfer and automatic UI updates.

    Implemented time and distance tracking features to monitor customer location, enabling order confirmation or automatic cancellation based on proximity.

    Designed and integrated a multi-variant cart system to support both home delivery and self-collection options, enhancing the flexibility and convenience of the ordering process.

    Integrated the admin dashboard with the Peasy Sales app, allowing advanced settings for shop information, catalog management, and order control.

    Utilized Action Cable to trigger real-time UI updates and send notifications to customers about their order status.

    Maintained the deployment on AWS, ensuring a scalable and reliable infrastructure for continuous operation.

    Technology

    Next.jsRest APIAxiosJavascriptCSSNode.jsNginxVPSPM2

    Responsibilities

    Developed a Google Calendar-based scheduling application using the Google Calendar API, allowing users to generate special calendar links through the Peasy Sales application.

    Implemented timezone selection to accommodate user preferences and availability, ensuring accurate scheduling across different time zones.

    Utilized Next.js, vanilla CSS, and Axios for REST API calls to build and style the application, enhancing both functionality and user experience.

    Peasy User Analyser

    (Private App)

    Technology

    Next.jsTypescriptNode.jsExpress.jsPostgreSQLPrismaJWTRest APIsAxiosTailwind CSS

    Responsibilities

    Developed a user information analysis system for Peasy, functioning as a webhook to integrate seamlessly with other Peasy applications.

    Built the application using Next.js, Express, PostgreSQL, and TypeScript, with secure token-based API routes to protect sensitive data.

    Designed the user interface with Tailwind CSS and deployed the application on Vercel using CLI commands for streamlined hosting and deployment.

    MERN Stack Developer

    Biddrup

    Khulna, Bangladesh

    Feb 2021 - Jan 2023

    Working with Shuvo at Biddrup was a fantastic experience. He brought a wealth of knowledge and skill to our web development projects, consistently producing outstanding results. His ability to tackle complex problems with innovative solutions was invaluable. Shuvo's dedication and excellent communication skills make him a standout professional in his field.

    Technology

    Next.jsTypescriptNode.jsMongoDBExpress.jsJWTCookiesTailwind CSSRest APIs

    Responsibilities

    Developed an MCQ exam system with a signup-based authentication system, implementing cookie-based authentication to secure API access.

    Built a batch-based exam system with automatic result calculation, including features to display student rankings and positions.

    Implemented a multi-batch exam system that supports reference-based question uploads, enabling efficient exam management and flexibility for students and administrators.

    Article To Video

    Private Application

    Technology

    React.jsJavascriptNode.jsFFMPEGMongoDBExpress.jsJWTCookiesTailwind CSSRest APIs

    Responsibilities

    Developed a fullstack application that converts text into sliding videos, utilizing AI-generated text-to-audio technology.

    Implemented video encoding with FFMPEG, transforming text into videos by integrating third-party APIs to source relevant images and synchronize them with the audio.

    Built a subscription-based service application using Node.js and React.js, with MongoDB and Mongoose ORM for efficient data management.