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Arit Chanda

Software Engineer

Bengaluru, Karnataka, India4 yrs 9 mos experience

Key Highlights

  • Expert in Java and ReactJS development.
  • Proven experience in microservices architecture.
  • Strong background in Machine Learning and NLP.
Stackforce AI infers this person is a SaaS developer with strong expertise in full-stack development and machine learning.

Contact

Skills

Core Skills

JavaReactjsPythonAwsMachine LearningNlp

Other Skills

AJAXAPI DevelopmentAWS CloudFormationAWS LambdaAmazon DynamodbAmazon Web Services (AWS)Auth0Azure Kubernetes Service (AKS)BitbucketCC++CI/CDCascading Style Sheets (CSS)CassandraContinuous Integration and Continuous Delivery (CI/CD)

Experience

Warner bros. discovery

Software Developer II

Jun 2025Present · 9 mos · Bengaluru, Karnataka, India

Nineleaps

Software Development Engineer II

Aug 2024Jun 2025 · 10 mos · Bangalore Urban, Karnataka, India · On-site

Lynden

Software Developer II

Apr 2024Jul 2024 · 3 mos · Seattle, Washington, United States · Hybrid

Synergisticit

SDE Intern

Jul 2023Jan 2024 · 6 mos · Remote

  • Designed and developed interactive web portal and features for an Auto Insurance Portal serving the
  • distinct business needs and user demographics.
  • Implemented Java, Spring Boot, and ReactJS solutions that reduced average server response time by
  • 15% and achieved 90% code coverage through comprehensive unit testing practices.
  • Integrated Stripe payment gateway, enabling seamless transaction processing and enhancing user
  • experience with secure payment solutions.
  • Established efficient CI/CD pipelines with GitHub Actions, streamlining deployment processes and
  • reducing deployment time by 30%, ensuring timely software delivery across projects.
  • Enhanced user engagement by 25% through iterative improvements in frontend UI/UX design and
  • implementation of responsive features for real-time data interaction.
  • Successfully migrated legacy systems to a microservice based architecture using EKS, reducing
  • maintenance costs by 20% and a 0.9% increase in service uptime, achieving 99.9% uptime over a 6-
  • month period.
  • Implemented Role-Based Access Control (RBAC) using Auth0, enhancing security and scalability by
  • managing user roles and permissions effectively across multiple applications and services.
  • Initiated knowledge-sharing programs, mentoring junior team members and interns, and hosting
  • tech talks to educate the organization on microservices and cloud-based systems
JavaSpring BootReactJSCI/CDEKSAuth0

Nortonlifelock

Software Engineering Internship

May 2022Aug 2022 · 3 mos · Tempe, Arizona, United States · Remote

Itc infotech

Associate Information Technology Consultant

Jul 2019Jul 2021 · 2 yrs · Hybrid

  • ● Decreased the time taken for legacy data migrations by 40% by analyzing the data and using a Python-based workflow to process/load it into the newer loyalty management system (SessionM)
  • ● Managed a team of 5 developers in analyzing/designing a business admin portal by having weekly meetings with architects to discuss progress and break down features into development tasks to create the POC.
  • ● Reduced fraud risk by 15% through building the portal’s Four-Eyes module (front- & back-end) using Serverless for the APIs, ReactJS/NodeJS for the website, and Cassandra with Sequelize ORM for DB queries.
  • ● Implemented 7 APIs for the support module by using AWS Serverless to allow the admin or customer to raise a support ticket from selected categories with a subject, photo attachment, and chat.
  • ● Coded 5 APIs for customers to raise a request for missing transactions and send a push notification to the customer's mobile app using AWS SNS allowing the team to take action on the ticket.
PythonAWSReactJSNodeJSCassandra

Amazon

Software Development Engineer Intern

Feb 2019Aug 2019 · 6 mos · Bengaluru Area, India · On-site

  • ● Improved the ML model development & testing time by 20% through developing a web app using ReactJs and NodeJS where the operations team can upload CSV files and train an ML model given the specifications.
  • ● Created a file upload functionality to S3 and queue requests with SQS to trigger the StepFunctions workflow for training or prediction while logging its state in DynamoDB.
  • ● Coordinated with a 2-person ops team to classify products to their respective export classes by cleaning and pre-processing product description data and applying text encoding techniques and ML & deep learning algorithms to the same which achieved 95% accuracy in validation
Machine LearningNLPReactJSNodeJS

Education

Arizona State University

Master of Science - MS — Computer Science

Kalinga Institute of Industrial Technology, Bhubaneswar

Bachelor of Technology — Information Technology

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