I am a Java Developer in the Product Team at Rumango, working on Core Banking Solutions and enterprise backend systems.

My current work focuses on Java, Spring Boot, RESTful APIs, SQL, database operations, data processing, and data engineering workflows. I contribute to building reliable, scalable, maintainable, and production-ready software solutions for enterprise and banking applications.

Previously, I worked as a Software Development Engineer at DailyKaam, contributing to full-stack product development, backend API engineering, database optimization, cloud deployment, caching, and scalable application architecture.

I completed my B.Tech in Computer Science and Engineering from National Institute of Technology, Tiruchirappalli (NIT Trichy).

I am particularly interested in:

Java · Spring Boot · Backend Engineering · AI/ML · Generative AI · Data Engineering · SQL · Database Systems · System Design · Cloud

Core Banking Solutions · Aug 2026 – Present

• Developing and enhancing enterprise-grade Core Banking Services within the Product Team.
• Building scalable and maintainable backend services using Java and Spring Boot.
• Designing and integrating RESTful APIs for core banking product functionalities.
• Working on data processing, database operations, and data engineering workflows supporting banking applications.
• Writing and optimizing SQL queries and database operations for application requirements.
• Contributing to feature development, debugging, testing, and performance optimization.
• Working on reliable and production-ready backend components with a focus on maintainability, scalability, and performance.
• Collaborating with product and engineering teams to deliver solutions aligned with business and banking requirements.
• Following clean coding, testing, debugging, and software engineering best practices.

Java Spring Boot REST APIs SQL Database Systems Data Processing Data Engineering

Product Engineering · Previous Experience

• Contributed to the development of scalable web and backend applications for product use cases.
• Developed and optimized RESTful backend APIs using Node.js and Express.js.
• Built and maintained frontend modules using React.js and Next.js.
• Designed and optimized database schemas using PostgreSQL and MongoDB.
• Implemented Redis caching, database indexing, and performance optimization strategies.
• Worked with Docker-based development and production deployment workflows.
• Contributed to application debugging, testing, feature development, and production support.
• Collaborated with cross-functional teams to deliver reliable and scalable product features.

React.js Next.js Node.js Express.js PostgreSQL MongoDB Redis Docker AWS GitHub Actions

Jul 2024 – Aug 2024

• Developed a scalable MERN-based M-Commerce platform with Progressive Web App (PWA) support.
• Worked across frontend, backend, database, and deployment components of the application.
• Implemented Redis caching, database indexing, and sharding strategies for improved application performance.
• Worked with AWS, Docker, MongoDB, Node.js, Express.js, and React.js.
• Built automated testing and build verification workflows using GitHub Actions.
• Focused on application scalability, database performance, and reliable deployment.

React.js Node.js Express.js MongoDB Redis AWS Docker GitHub Actions

2022 – 2026

Relevant Areas:

Data Structures & Algorithms · DBMS · Operating Systems · Computer Networks · Software Engineering · Machine Learning · Artificial Intelligence

• JEE Main 2022: 99.799 Percentile
• FFE Scholarship: Academic Excellence
• NSP Scholarship: Government of India
• District Topper: BSEB Matric Examination, Gaya

Java Spring Boot REST APIs Node.js Express.js FastAPI

PostgreSQL MySQL MongoDB Redis SQLite SQL Data Modeling Data Processing ETL Database Optimization

React.js Next.js React Native Flutter Tailwind CSS HTML5 CSS3

Machine Learning Deep Learning Generative AI LLMs RAG LangChain Prompt Engineering Pinecone Gemini API Mistral API Scikit-Learn SHAP

AWS Docker Git GitHub GitHub Actions CI/CD

Data Structures & Algorithms OOP DBMS Operating Systems Computer Networks System Design Unit Testing Debugging Performance Optimization

An AI-powered career assistance platform designed to analyze resumes and provide structured feedback and recommendations.

• Automated resume analysis and scoring.
• AI-generated resume improvement suggestions.
• Structured candidate feedback.
• Large-document processing and prompt orchestration.

Next.js TypeScript Gemini API Prisma PostgreSQL Tailwind CSS

Repository: DEEPAK-317/DDRAI-CAREER-COACH

A Retrieval-Augmented Generation system for context-aware question answering over large document collections.

Documents
    ↓
Document Parsing
    ↓
Text Chunking
    ↓
Vector Embeddings
    ↓
Pinecone Vector Database
    ↓
Semantic Retrieval
    ↓
LLM Context Generation
    ↓
Context-Aware Answer

Python FastAPI LangChain Pinecone Mistral API

Repository: RAG Document QnA System

Live Demo: RAG Document QnA System

A machine learning system designed to identify potentially fraudulent transactions while providing interpretable model explanations.

• Fraud classification and anomaly detection.
• Isolation Forest and Random Forest models.
• SHAP-based model explanations.
• Interactive Streamlit dashboard.

Python Scikit-Learn SHAP Pandas Streamlit

Repository: Explainable Fraud Detection

An AI-powered email assistant for generating professional emails based on user requirements and communication tone.

Python Streamlit Google Gemini API Prompt Engineering

Repository: DEEPAK-317/MailMate

A student workflow management application for scheduling, daily logging, and assignment management.

JavaScript Node.js Express.js MongoDB

Repository: NITT Student Track

A mobile expense-sharing application designed to manage group expenses, balances, and transaction records.

TypeScript React Native Node.js Express.js MongoDB

Repository: Split Expense App

• 400+ algorithmic problems solved.

• Strong foundation in Data Structures and Algorithms.

• Regular practice across:

  • Arrays & Strings
  • Linked Lists
  • Stacks & Queues
  • Trees & Graphs
  • Dynamic Programming
  • Searching & Sorting
  • Hashing
  • SQL

@deepak_3621

• JEE Main 2022 — 99.799 Percentile
• District Topper — BSEB Matric Examination, Gaya
• FFE Scholarship — Academic Excellence
• NSP Scholarship — Government of India

• AWS Certified Cloud Practitioner — Amazon Web Services
• Google Cloud Associate Cloud Engineer — Google Cloud
• Deep Learning Specialization — DeepLearning.AI
• Generative AI with Large Language Models — DeepLearning.AI / AWS