Ratul Bhattacharjee

Software Engineer

Bengaluru, Karnataka, India10 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Full Stack Development with diverse tech stack.
Proven track record in building scalable SaaS applications.
Strong experience in data-driven architecture and predictive analytics.

Stackforce AI infers this person is a Full Stack Developer with expertise in SaaS and data integration solutions.

Contact

Skills

Core Skills

Full-stack DevelopmentSoftware DevelopmentData AnalysisMaster Data ManagementSaas Development

Other Skills

AWS LambdaAlgorithmsAmazon Web Services (AWS)Angular JSAutomationBack-End Web DevelopmentBeautiful SoupBootstrapCCSSCollaborative FilteringComputer NetworkingDBMSData IntegrationData Management

About

I have worked as a Full Stack Developer and have experience in working with Java, Python, NodeJS, Ruby on Rails , Javascript, ReactJS. I have worked with Product based Startups and MNCs during my career. An overview of the work that I have done : Built a Collaborative Filtering Based Recommendation System for recommending houses to prospective tenants based on the similarity of their interests with the present dwellers. Implementation of Distributed Real time and On-demand Inventory Syncing Architecture Dealing Between Multiple Third-Party APIs Architecture for predicting Sales Returns using predictive analysis of Sales Data Capability Based Calendar Service for Event Slot Management Implementation of Master Data Management Architecture For Financial Domain. Distributed SaaS Framework and Data Transfer Protocol for Real Time Data Integration Between Multiple Downstream and Upstream Applications.

Experience

10 yrs 1 mo

Total Experience

1 yr 5 mos

Average Tenure

5 yrs 4 mos

Current Experience

Flipkart

2 roles

Software Development Engineer 3

Promoted

Feb 2025 – Present · 1 yr 4 mos · Bengaluru, Karnataka, India

Software Development Engineer 2

Feb 2021 – Feb 2025 · 4 yrs · Bengaluru, Karnataka, India

Paytm

Senior Sfotware Engineer

Jun 2020 – Dec 2020 · 6 mos · Bengaluru, Karnataka, India

Synup

Back End Developer

Jul 2019 – Jun 2020 · 11 mos · Greater Bengaluru Area

Nestaway technologies pvt ltd

Software Development Engineer

Mar 2018 – Jun 2019 · 1 yr 3 mos · Bengaluru, Karnataka, India

Overview of the work :
1) Built a Collaborative Filtering Based Recommendation System for
recommending houses to prospective tenants based on the similarity
of their interests with the present dwellers.
Technologies: Ruby on Rails, Python
2) Implementation of Distributed Real time and On-demand Inventory
Syncing Architecture Dealing Between Multiple Third-Party APIs
Technologies: Python, NodeJS, Ruby on Rails, Puppeteer(automation), AWS Lambda, Serverless
3) Architecture for predicting Sales Returns using predictive analysis of
Sales Data
Technologies: Python, Scikit-learn
4) Capability Based Calendar Service for Event Slot Management
Technologies: Ruby on Rails

Ruby on RailsPythonNodeJSPuppeteerAWS LambdaServerless+2

Tata consulatancy services

Assistant System Engineer

Jan 2017 – Feb 2018 · 1 yr 1 mo · Bengaluru, Karnataka, India

Overview of the work:
Implementation of Master Data Management Architecture For Financial
Domain.
Technologies: JAVA, Spring/ J2EE, Angular JS, Informatica MDM

JAVASpringJ2EEAngular JSInformatica MDMMaster Data Management

Alumnus software limited

Trainee Engineer

Jul 2016 – Jan 2017 · 6 mos · Kolkata

I worked as a full stack engineer. I used to work on web based application developmentusing J2EE, bootstrap, node.js and NOSQL databases
Technologies : J2EE, Node.js, JQuery / Javascript, MongoDB
Overview of Work :
Distributed SaaS Framework and Data Transfer Protocol for Real Time
Data Integration Between Multiple Downstream and Upstream
Applications

J2EENode.jsJQueryJavaScriptMongoDBFull-Stack Development

Indian statistical institute , kolkata

Project Intern

Jun 2014 – Dec 2014 · 6 mos · Kolkata, West Bengal, India

Classification of Hollywood Films aimed towards predicting the success of a pre-launch film based on regression tree models run on a training set of previous films.