Hi There,
I'm Gundumi Sri Krishna Sudhindra

Full Stack Developer

About Me

About Me

I'm Krishna

Full Stack Developer

A Computer Science and Engineering student at KL University, pursuing an Honors degree through Experiential Learning with a specialization in Cross-Platform Development Frameworks. Originally from Gurazala, Andhra Pradesh, and currently based in Vijayawada for my undergraduate studies, I'm a tech enthusiast passionate about hands-on learning and innovation. I have strong leadership and coordination skills, with experience organizing campus drives and managing events at both college and university levels. I thrive in collaborative environments, enjoy solving real-world problems, and stay constantly updated with the latest industry trends.

email : srikrishnasudhindra@gmail.com

place : Vijayawada, India

Skills & Abilities

Programming Languages

  • C
  • Java
  • Python
  • JavaScript (JS)

Frontend Development

  • React.js
  • HTML/CSS
  • Vite

Backend Development

  • Node.js
  • Express.js
  • Spring Boot
  • RESTful APIs

Databases

  • MongoDB
  • MySQL

Full Stack Development

  • MERN Stack (MongoDB, Express.js, React.js, Node.js)
  • RVS Stack (React.js + Vite + Spring Boot + MySQL)

Cloud & DevOps

  • AWS
  • Azure
  • Docker
  • CI/CD
  • Microservices

Version Control

  • Git
  • GitHub
  • GitLab

🤝 Soft Skills

  • Leadership
  • Team Management
  • Conflict Resolution
  • Collaboration
  • Problem-Solving
  • Adaptability

My Education

Education is not the learning of facts, but the training of the mind to think.

Bachelor of Technology in Computer Science and Engineering

KL University, Vijayawada

2023-2027 | Pursuing

GPA: 9.43 / 10

Class XII - MPC

AP Model School & JR College

2021-2023 | Completed

GPA: 8.9 / 10

Class X

AP Model School & JR College

2020-2021 | Completed

GPA: 9.5 / 10

Projects Made

AaharExpress

AaharExpress

AaharExpress is a food platform connecting donors, restaurants, NGOs, and volunteers to order meals, donate, and redistribute surplus food in real time, addressing hunger and food waste in India.

Features:
  • Roles: Donor, Restaurant, Volunteer, NGO, Delivery Agent, Admin
  • JWT-secured authentication & role-based access
  • Real-time ordering, donation, and surplus food management
  • Volunteers/NGOs manage pickups and food quality checks
  • Email notifications via Google SMTP
Tech Stack:
  • Frontend: React + Vite | Backend: Spring Boot | DB: MySQL
  • Auth: JWT | Email: Google SMTP | Deploy: Vercel & Render
FaceAttend

FaceAttend May 2024 – Present

FaceAttend is a secure facial-recognition-based attendance system designed to prevent proxy attendance and ensure reliable student verification in academic environments.

Features:
  • Real-time facial recognition using FaceNet
  • Multi-layer authentication with anti-spoofing mechanisms
  • Secure student identity verification using live camera feed
  • Interactive faculty dashboard for attendance monitoring and analytics
  • Real-time attendance capture and management
Tech Stack:
  • Computer Vision: FaceNet, OpenCV
  • ML Frameworks: TensorFlow
  • Backend: Flask
  • Frontend/Dashboard: React
  • Deployment: Cloud-based (scalable architecture)
DigiChit

DigiChit Jan 2025 – Present

DigiChit is a digital chit fund management platform built to automate operations, enhance transparency, and prevent financial fraud through secure verification layers.

Features:
  • Digital chit fund creation and lifecycle management
  • Secure eKYC-based user verification
  • Automated mandate and payment workflow
  • Fraud prevention through system-level validations
  • End-to-end transparency for organizers and participants
  • Utility Patent filed and published (2025) for system architecture
Tech Stack:
  • Frontend: React
  • Backend: Node.js, Express
  • Database: MongoDB
  • Auth & Verification: eKYC services
  • Architecture: MERN Stack

Patent Logo Patents

Biometric-based Voting System with Multi-layer Authentication
Application No: IN202541073801 • Published: Aug 2025 (Journal No. 34/2025)

The invention is a multi-layer biometric voting system that prevents voter impersonation and enhances electoral security. It verifies identity through five layers: Aadhaar-based fingerprint, facial recognition, OTP via registered mobile, voter ID cross-check, and geo-fencing at the polling location. All attempts are logged in a tamper-proof backend, unlocking the voting interface only after successful verification. A centralized dashboard enables real-time monitoring, and the system complies with privacy safeguards, offering modular verification without mandating Aadhaar. This ensures transparency, prevents proxy voting, and strengthens India’s electoral process.

DigiChit: A Digitalized Chit Fund Management System
Application No: IN202541098116 • Published: Nov 2025 (Journal No. 46/2025)

The invention discloses a digital chit fund management system that automates collection, bidding, and payout operations through secure eKYC verification and automated mandate processing. Each participant is digitally verified and linked to pre-approved payment mandates, enabling seamless monthly contributions and transparent fund flow. The system auto-generates reverse mandates for payouts to winning members after each auction and records all transactions in an immutable digital ledger. A fraud detection engine continuously monitors irregularities in contributions or bids, while real-time dashboards allow organizers to manage multiple chit groups efficiently.

Certifications

AWS Certified Cloud Practitioner

AWS Cloud Practitioner Certificate

Microsoft Certified Azure Developer Associate

Azure Certificate

MongoDB Certified Associate Database Administrator

MongoDB Associate Database Administrator Certificate

ServiceNow Certified System Administrator

ServiceNow Certificate

MongoDB Certified Associate Developer Node.js

MongoDB Node Certificate

MongoDB CertifiedAssociate Developer Java

MongoDB Java Certificate

GitHub Foundations

GitHub Certificate

Salesforce Certified AI Associate

Salesforce AI Certificate

Get in Touch