Aryabhatt

Aryabhatt Narasimha Rao Kankipati

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Transforming Ideas into Scalable Solutions

I build scalable backend systems and immersive frontends that blend performance, reliability, and design excellence. From secure Spring Boot microservices and REST APIs to React-based dashboards and intelligent ML-driven components powered by CI/CD pipelines - every line of code I write is aimed at seamless user experience and measurable impact.

  • ๐Ÿ’ก Designed OTP-verified banking transactions using Spring Boot, JWT, and React
  • ๐Ÿ” Built role-based access control (RBAC) systems with Hibernate and PostgreSQL
  • ๐Ÿ“Š Created dynamic analytics dashboards with React.js, Chart.js, and REST APIs
  • ๐Ÿค– Integrated ML pipelines for intelligent data analysis and predictive automation
  • ๐Ÿš€ Containerized and deployed production-ready apps via Docker and AWS CI/CD
  • ๐Ÿง  Engineered an AI-driven OCR expense splitter with MongoDB and Spring Boot
๐Ÿ“„ Download Resumeโœ‰๏ธ Contact Me

Tech Stack & Core Strengths

Backend

Java Spring Boot Hibernate REST APIs RBAC MVC Maven JUnit Mockito TestNG AssertJ Postman Node.js

Frontend

React.js Next.js Redux React Query Tailwind CSS JavaScript Vite GraphQL Apollo

Database

MySQL PostgreSQL MongoDB Oracle PL/SQL

DevOps

Docker Kubernetes GitHub Actions CI/CD Apache

Cloud

AWS GCP Render Google Vision API

Strengths

Problem Solving DSA System Design Debugging

Education & Certifications

๐ŸŽ“ Education

๐ŸŽ“

M.S. in Computer Technology

Eastern Illinois University

  • Graduate Assistant (Web Developer)
  • GPA: 4.0 / 4.0
  • Focus: Web Tech, DB Security, Machine Learning
๐Ÿ“ก

B.Tech in Electronics & Communication

Visvesvaraya Technological University

  • Final Year Project: Smart City Robot
  • Focus: SQL, Data, Web, Machine Learning

๐Ÿ“œ Certifications

โ˜๏ธ AWS Certified Cloud Practitioner

Amazon Web Services

๐Ÿง  Introduction to Generative AI

Google Cloud ยท Coursera

โ˜• Java Programming: Solving Problems

Duke University ยท Coursera

๐ŸŽจ Front-End UI with Bootstrap 4

HKUST ยท Coursera

Experience

๐ŸŽ“ Graduate Assistant @ Eastern Illinois University
Dec 2024 โ€“ Present
  • Built pixel-perfect, mobile-responsive frontend interfaces.
  • Leading the redevelopment of EIUโ€™s official university website, delivering a modern, scalable version scheduled to go live in the upcoming release cycle.
  • Designing and implementing responsive front-end interfaces using ReactJS integrated with secure Spring Boot REST APIs.
  • Optimizing database queries and workflows to enhance performance, accessibility, and system efficiency.
  • Collaborating with university IT and academic departments to ensure seamless migration, system reliability, and data integrity across modules.
โš™๏ธBackendExpert
๐ŸŽจFrontendExpert
โ˜๏ธDevOpsGood
๐Ÿ“ŠDataStrong
๐Ÿข Senior Software Engineer @ Capgemini
Oct 2022 โ€“ Aug 2024
  • Developed high-performance APIs and microservices for large-scale banking and analytics platforms.
  • Enhanced data processing speed by 60% through optimized SQL queries, caching, and load balancing.
  • Designed modular, maintainable backend architecture focusing on scalability, security, and fault tolerance.
  • Worked with cross-functional Agile teams to deliver robust backend systems and mentor peers on best practices.
โš™๏ธBackendExpert
๐ŸŽจFrontendStrong
โ˜๏ธDevOpsGood
๐Ÿ“ŠDataExpert
๐Ÿ“˜ Software Engineer Intern @ Capgemini
Mar 2022 โ€“ Oct 2022
  • Developed REST APIs and backend modules using Java and Spring Boot while optimizing SQL for large-scale data processing.
  • Integrated Python-based data workflows to generate analytical insights and automate reporting tasks.
  • Collaborated in Agile sprints to deliver reliable, data-driven enterprise solutions across multiple environments.
โš™๏ธBackendStrong
๐ŸŽจFrontendGood
โ˜๏ธDevOpsBasic
๐Ÿ“ŠDataStrong
๐Ÿค– Machine Learning Intern @ TCR Innovation
Aug 2021 โ€“ Oct 2021
  • Developed end-to-end Machine Learning pipelines using Python, NumPy, Pandas, and Scikit-learn.
  • Trained and optimized regression and classification models for real-world datasets with performance benchmarking.
  • Explored AI-driven insights through data preprocessing, feature engineering, and model evaluation under the Technical Coding Research Innovation program.
๐Ÿค–Machine LearningExpert
๐Ÿง Artificial IntelligenceExpert
๐Ÿ“ŠData ScienceExpert
๐Ÿ”ฌResearchStrong
๐ŸŒฑ Full Stack Developer Intern @ Spark Foundation
Jul 2021 โ€“ Aug 2021
  • Developed a responsive banking application for customer account management and transactions.
  • Integrated frontend and backend components ensuring seamless and secure data flow.
  • Enhanced user experience with clean UI design and optimized application performance.
โš™๏ธBackendStrong
๐ŸŽจFrontendStrong
โ˜๏ธDevOpsBasic
๐Ÿ“ŠDataGood

Real-World Problem Solving

๐ŸŒ EIU โ€“ Official Website Revamp

Redesigned and modernized the official Eastern Illinois University website with new web pages, improved accessibility, and mobile-first responsiveness using React, Tailwind, and Spring Boot.

ReactTailwind CSSSpring BootMySQL
๐Ÿง  Problem Solved

Built a scalable, modular system improving UX, SEO, and content workflows across International Portal.

GitHub
๐Ÿงพ BroPay โ€“ Smart Expense Splitter

AI-powered receipt scanner and smart split engine that identifies items, extracts prices, and calculates individual shares automatically using OCR + Spring Boot + Salesforce integration.

Spring BootReactMongoDBGoogle Vision API
๐Ÿง  Problem Solved

Simplified expense sharing for users by automating receipt-based split calculations securely and accurately.

๐Ÿฆ EduFund Bank

Built a full-stack digital banking platform with secure customer and admin modules, OTP-based transaction verification, JWT authentication, session management, and a clean React + Spring Boot architecture.

Spring BootReact.jsMySQLDockerJWT Security
๐Ÿง  Problem Solved

Provided a secure and seamless banking experience through verified digital transactions and reliable account management.

GitHub
๐Ÿ“Š OPS Tool โ€“ Internal Analytics Platform

Java Full Stack analytics platform for operational data visualization and workflow automation. Achieved 75% reduction in manual effort and 60% improvement in data insights via Chart.js dashboards and optimized SQL workflows.

JavaSpring BootHibernateSQLHTMLCSSChart.js
๐Ÿง  Problem Solved

Empowered HR teams with instant data access and automated reporting, eliminating dependency on Excel sheets.

๐Ÿ›๏ธ TEMBUSU โ€“ Banking Project

Contributed backend logic and PL/SQL automation for maturity date handling across financial departments. Focused on scheduling validation and data accuracy for banking processes.

PL/SQLOracle Database
๐Ÿง  Problem Solved

Improved banking process accuracy and scalability through reliable scheduling and automation workflows.

๐Ÿค– Intelligent Robot for Smart City

AI-based Raspberry Pi robot for real-time waste classification and autonomous collection. Integrated with Blynk IoT for remote control, using Google Teachable Machine for ML model deployment.

PythonRaspberry PiTeachable MachineBlynk
๐Ÿง  Problem Solved

Reduced manual labor in waste management through automated garbage identification and collection.

๐Ÿ—‘๏ธ Smart Garbage Monitoring System

Built a Wi-Fi enabled garbage bin that sends alerts via Blynk when full. Used ultrasonic sensors and ESP8266 with Embedded C for cost-effective smart city waste solutions.

ArduinoUltrasonic SensorESP8266Blynk IoTEmbedded C
๐Ÿง  Problem Solved

Enabled real-time waste monitoring by sending alerts when bins were full, improving city cleanliness efficiency.

GitHub
๐Ÿท Wine Quality Prediction

Classified wine samples into quality levels using Logistic Regression, KNN, SVM, and Random Forest, with EDA and feature scaling.

PythonPandasSklearnMatplotlib
๐Ÿง  Problem Solved

Helped winemakers evaluate quality more accurately using data-driven classification techniques.

GitHub
๐Ÿช™ Gold Price Prediction

Built a regression model using Random Forest and XGBoost to forecast future gold prices based on economic indicators.

PythonPandasSklearnXGBoost
๐Ÿง  Problem Solved

Enabled financial forecasting for investors by predicting commodity trends through machine learning.

GitHub
๐Ÿ’ณ Credit Card Fraud Detection

Built a fraud detection model using Logistic Regression and SMOTE oversampling, achieving strong recall on imbalanced data.

PythonSklearnPandasSMOTE
๐Ÿง  Problem Solved

Reduced undetected fraud cases by building a balanced model that flags anomalies in real time.

GitHub

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ยฉ 2025 Aryabhatt Kankipati