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deepak-mandal/README.md

DEEPAK KUMAR MANDAL

4+ years of experience in software engineering with expertise in Angular & Java technologies
Holds a strong engineering foundation from IIT Guwahati

πŸ“§ deepa170122014@alumni.iitg.ac.in


EXPERIENCES

CGI Information Systems and Management Consultants Pvt. Ltd.
Senior Software Engineer
πŸ“ Bangalore, India
πŸ—“οΈ Sept. 2021 – Present

Responsibility:

  • Product Engineering including technical analysis, solution architecture, UI & API development, functional testing, code review.

EDUCATION

Degree Institute/Board Year
Bachelor of Technology Indian Institute of Technology, Guwahati 2017–2021
Senior Secondary Bihar School Examination Board 2016
Secondary Bihar School Examination Board 2014

PROJECTS

CGI DataCycle360

< €1M Investment B2B product, European Union clients; government industries
πŸ“… Oct. 2023 – Present

  • Backend development using Java, Spring Boot, Hibernate, MSSQL, Wildfly v10 & Tomcat v9
  • Angular 17 UI with document lifecycle automation, workflow routing, and digital archive
  • Rewrote SOAP APIs to REST using Spring Boot v2.7
  • Functional testing and Agile collaboration with CGI Finland team (55+ epics & stories)
  • Implemented i18n, Keycloak customization, session handling, JavaDoc, SonarLint, Swagger
  • Hosted Angular & Spring Boot apps locally using Nginx & Apache wrapper for production issue replication

Webshop:

  • Designed and developed B2B eCommerce product for item ordering and purchase approvals
  • Angular 16 UI and Spring Boot v3 backend with Java 21, MyBatis, Apache Solr
  • REST APIs for Webshop-Advantage integration, spellcheck search, CRUD operations
  • MSSQL schema design and query tuning for performance optimization

CGI Wealth360

Clients: Canadian banks – CIBC, TD Bank, BMO, Aviso
πŸ“… Sept. 2021 – Oct. 2023

  • Full-stack engineering for Digital Wealth Platform with investing capabilities
  • Technical analysis of 140+ epics, stories, bugs, and performance tasks
  • Angular (v8–10) UI development with reusable components, AG Grid, RxJS, Lodash
  • RESTful APIs using Spring Boot v2, Java 8, MyBatis, Oracle
  • CI/CD with Jenkins, Git, Bitbucket, Jira, Confluence
  • Bug fixes across 13 codebases and production support using PuTTY, WinSCP

ReviewBook Platform

πŸ“… Sept. 2021
πŸ”— GitHub Repo

  • Designed & developed a review app for consumer decision-making
  • Microservices architecture with Spring Boot, MongoDB, RabbitMQ
  • JWT authentication, Dockerized services, Angular SPA with shared modules

CRSI Conference Website

πŸ“… Apr. 2020 – Jun. 2020
IIT Guwahati

  • Developed PHP-based full-stack web app with responsive UI for CRSI NSC-27 and 15th CRSI-RSC symposium

TECHNICAL SKILLS

  • Programming Languages: Java 8+ (OOP, Stream API, Collections, DSA)
  • Web Technologies: Angular 2+, HTML, SCSS, TypeScript, Spring Boot, Microservices
  • Databases: SQL (Oracle, MSSQL), MongoDB, MySQL
  • Tools & Platforms: GitHub Copilot, Jenkins, Docker, Swagger, SonarLint, Keycloak, Apache, Nginx, Wildfly, Tomcat

KEY COURSES TAKEN

  • Introduction to Computing – Data Structures & Algorithms, Computational Laboratory, Core Mathematics (IITG)
  • Certified Python Marketing Analytics
  • Java Full-Stack Training – Spring & Angular
  • AI-Powered Software Development

ACHIEVEMENTS

  • πŸ₯‰ Bronze Award from CGI President (FY23) and SVP (FY24) for excellent work
  • 🎯 Qualified JEE (Main & Advanced) among 1.18 million candidates (2017)

β€œCode is not just what you writeβ€”it’s what you leave behind.”

Pinned Loading

  1. ds-algo ds-algo Public

    Java8 features+ Spring + Angular + PL/SQL, MySQL + NoSQL, MongoDB+ Python3, HTML, CSS, PHP,C/C++,Fortran - Data Structures and Algorithms, OOP concepts; Time Complexity, Linked List, Stacks, Queue,…

    Python 1

  2. ReviewBook ReviewBook Public

    Spring / Java + Angular / TypeScript + Mongo DB + MySQL + RabbitMQ

    JavaScript 1

  3. Python-Analytics-Machine-Learning Python-Analytics-Machine-Learning Public

    Marketing Analysis with Python, Python3, Pandas, NumPy, Matplotlib, scikit-learn, Machine Learning technique, Spyder

    Python

  4. ml ml Public

    A machine Learning Model for House Price Prediction

    Jupyter Notebook

  5. DueDash-Germany DueDash-Germany Public

    Summarization of Text from PDF, URL as a source text; Text and Image Extraction form Web Link/URLs & PDF

    Jupyter Notebook

  6. deepak-mandal.github.io deepak-mandal.github.io Public

    TypeScript