Joydeep Das

Software Engineer

India11 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

6+ years of experience in full stack development.
Expert in scalable architectures using cloud technologies.
Led significant migration projects impacting millions.

Stackforce AI infers this person is a Full Stack Software Engineer with expertise in B2C cloud-based solutions.

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Skills

Core Skills

JavaReact.jsAwsDeep LearningC++Generative Adversarial Networks

Other Skills

JavascriptTypescriptNode.jsScalaCloudFormationCDKCloudwatchSNSLambdasDynamoDBSpring MVCPythonObject RecognitionCaffeTensorflow

About

Joydeep is a computer science enthusiast and currently working as a Full stack Software Engineer with 6+ years of Experience. His area of expertise is in developing scalable architectures for backend and front-end services using Cloud based technologies. He is proficient with Java, C++, React, Typescript languages.

Experience

11 yrs 8 mos

Total Experience

3 yrs 10 mos

Average Tenure

6 yrs 4 mos

Current Experience

Amazon

2 roles

Software Developer

Aug 2024 – Present · 1 yr 9 mos · On-site

Software Engineer

Jan 2020 – Aug 2024 · 4 yrs 7 mos · On-site

Developing scalable solutions for Amazon Prime Video(PV) Website. Working as a Full
Stack Software Engineer, from making front-end web widgets to developing backend APIs. Technology stack includes JAVA, React.js, Javascript, Typescript, Node.js in front-end; Functional langauge Scala in backend APIs.
Led projects (Tech lead) in migrating 60+ pages and APIs from Perl/Mason to modern Spring MVC (Java) based solutions. Distributed design for millions of footprints per day.
Designed and implemented several client based storage solutions for Prime Video domain.
The project had very wide scale impact (in millions).
Involved in devising strategy for integrating MAWS-NAWS services using various AWS
services. Several projects like PV Trailer Autoplay took advantage of it.
Migrated core prime video applications from in-house resources to native AWS. Design and implementation part included working with Amazon S3, CloudFormation, CDK,
Cloudwatch, SNS, Lamdas and DynamoDB.

JavaReact.jsJavascriptTypescriptNode.jsScala+7

Samsung r&d institute india - bangalore private limited

Software Engineer

Jun 2018 – Dec 2019 · 1 yr 6 mos · Bengaluru Area, India

Developing vision based On-Device AI solutions for Object Recognition. Deep Neural Networks are devised and deployed for 1000+ object category recognition in Samsung Flagship mobile Devices. Caffe framework is used for training DL models and Python language for validation and testing the models.
Worked as Back-end Software Engineer for Samsung’s Bixby Vision app, successfully
launched in S10, Note 9 and A-series smart phones. Developed several C++ modules for
deployment of AI models on mobile devices.

PythonC++Deep LearningObject RecognitionCaffe

Samsung research institute bangalore

Summer Intern

May 2017 – Jul 2017 · 2 mos · Bangalore

Single Image Super Resolution using Generative Adversarial Networks: It is the task of upscaling a low resolution image to its high resolution counterpart for a large upscaling factor. Developed an end-to-end Deep neural model for the task using Generative Adversarial Networks.
Implemented SRGAN in Tensorflow, with modifications in Loss Function and architecture.
The work has been used for commercialization in Samsung Mobile Device, S10.

Generative Adversarial NetworksTensorflow

Indian institute of technology, gandhinagar

Summer Intern

May 2016 – Jul 2016 · 2 mos · Gandhinagar ,Gujrat

Developed a novel algorithm for forgery detection in Median Filtered mages. A statistical
approach focusing on neighbour pixels and their k th order difference was proposed. Matlab
was used for developing and carrying out the experiments.
The algorithm was published in 2017 IEEE International Conference on Identity, Security
and Behavior Analysis (ISBA). https://doi.org/10.1109/ISBA.2017.7947704

Matlab