Banner Image

Skills

  • Back End Development
  • Flask Web Framework
  • Full Stack Development
  • Machine Learning
  • MongoDB
  • Node Js
  • ReactJS
  • Software Development

Services

  • Full Stack NodeJS Developer

    $15/hr Starting at $25 Ongoing

    Dedicated Resource

    Four Year Experience Full Stack Developer. Have worked on diverse backend and front end technologies. NodeJS specialist. #NodeJS #Graphql #ReactJS #MeteorJS #Flask #MachineLearning

    Back End DevelopmentFlask Web FrameworkFull Stack DevelopmentMachine LearningMongoDB

About

Fullstack developer with four year experience developing technology products in Education and Healthcare industries. Passionate about all things tech and combing different technologies to de

Achievements
• Developed an app to transfer medical images to cloud app using DICOM transfer protocol which has been installed in 60 diagnostic centres.
• Developed the complete backend of ed-tech product which went live in 350 schools earning a revenue of around 10 crores in the first year
• Received best performer Incent

Experience
Software Developer at Xseed Education
• Project XCS : Built the backend of XCS(a B2C gamified learning app) including architecture and schema.
• It was developed in NodeJS with MongoDB as database and deployed on Heroku
• Built the Content management system web application for XCS using MeteorJS framework
• Project MAX: Built the backend of Max(a B2B digital classroom app) using GraphQL query language in NodeJS.
• It was built on auto generative model with all basic CRUD requests getting generated from schema types. It catered to four client side apps
• Implemented video watermarking using Amazon Elastic Transcoder and SQS

Senior Software Developer at Synapsica Technologies
• Project DCMBroker: Developed an application to upload Medical Images from diagnostic centres to our cloud application using DICOM protocol.
• Project Radiolens: We built a PACS app for radiodiagnosis in MERN Stack. I Lead the backend development and also worked on the frontend.
• Deployed cloud app on ec2 machines with Nginx+Passenger as the application manager and git for version management and CI.


Education:
Netaji Subhas Institute of Technology, B.E., Computer Engineering (2011-2015)

Key Projects:
• Built a Movie Revenue Predictor as final year project using Linear Regression (91% accuracy)
• Built a web app with Flask which classifies handwritten digits drawn in the app. The Digit recognition model was trained using CNNs with Keras( Accuracy 99%)

Work Terms

Available to work 9hrs/day for a few months
Fees/hour- 12$