Summary

Sukumar Singarapu

I build practical web products with clean frontend flows, backend integration, and real-time browser features. My strongest work includes WebRTC communication, browser-based learning tools, and machine learning projects built with JavaScript, Node.js, Python, SQL, and REST APIs.

Full Stack JavaScript Node.js Java Python SQL REST APIs Machine Learning
4 Practical projects with live proof
2 Hands-on roles across software and operations
8 Certificates linked for direct review

Education

My studies gave me the base for software development, problem solving, and the project work shown here.

B.Tech - Vaagdevi College of Engineering

B.Tech - CSE (AI&ML) • 8.5 CGPA • Expected 2027

Diploma in Engineering - Vaagdevi Engineering College

Diploma - ECE • 8.46 CGPA • 2024

SSC - Spectra Global High School

SSC - 10th Class • 10.0 CGPA • 2021

Experience

Experience and training.

This section includes one project-based software training program and one earlier technical operations role. Together, they show how I moved from hands-on technical work into software development.

Full Stack Training Program and Project Work • SITER Academy

Dec 2025 - Present
  • Completed structured full stack training through guided modules and project-based implementation work.
  • Developed responsive interfaces and connected them with backend logic and REST APIs for project flows that worked across desktop and mobile screens.
  • Improved day-to-day usability by debugging data-handling issues and cleaning up user flows before review and demo sessions.
  • Worked with mentors and teammates to turn requirements into working features and reviewable demos.

Technical Operations Technician • Premier Energies

May 2024 - Jul 2024
  • Supported inspection, maintenance, and troubleshooting of technical equipment in a fast-paced operational environment.
  • Diagnosed faults under time pressure and helped reduce interruption to daily production activity.
  • Built habits around safety, reliability, and practical execution that I now carry into software work.

Projects

Projects I have built.

These are the projects that best show how I think through product flow, implementation, and technical decisions. The first two are the software projects I would lead with in an interview.

Featured Case Study - Web Product

WordPress Theme Discovery Platform

A full-stack platform that helps business owners research, filter, compare, and shortlist WordPress themes by business category, performance profile, and builder compatibility.

Tech Stack: React, Vite, Node.js, Express, JavaScript, REST APIs

8 discovery features
2 app layers
2 direct proof links

What I built

I built a full-stack discovery experience with category-led browsing, keyword search, recommendation scoring, theme comparison, wishlist persistence, trending themes, and direct links to official product pages and live demos.

Why I built it

I wanted to make choosing a WordPress theme more practical for business owners by bringing research, filtering, comparison, and shortlisting into one focused workflow.

Challenge I solved

The main challenge was turning many theme attributes into a useful decision flow. I structured the catalog, scoring logic, comparison tray, and responsive interface so users can move from a business need to a shortlist quickly.

Technical proof

  • Full-stack React and Express structure separates the frontend experience from backend API logic.
  • Recommendation scoring considers category fit, performance, builder alignment, WooCommerce, and accessibility priorities.
  • Public GitHub repository includes deployment configuration, SEO handling, and a replaceable catalog architecture.
Featured Case Study - Real-Time

Voice Room

A real-time voice room app where users can join a shared browser room and talk live through a simple link-based flow.

Tech Stack: JavaScript, WebRTC, Socket.IO, Node.js, Render

1 shareable room flow
0 sign-up steps
2 direct proof links

What I built

I built the room joining flow, the shareable link behavior, and the browser voice experience so people can test live audio without creating an account or installing an app.

Why I built it

I chose this project because real-time communication pushes you beyond static pages. It made me think about connection flow, browser permissions, deployment, and user experience together.

Challenge I solved

The hardest part was making the room flow feel simple. Users need to join quickly, share the room easily, and understand that the app is ready for live audio with very little friction.

Technical proof

  • Live hosted app available on Render for end-to-end browser testing.
  • Room flow is built around one shareable link and zero sign-up steps for quick first-time use.
  • Public GitHub repo shows the WebRTC, Socket.IO, browser permissions, and deployment-ready structure.
Featured Case Study - Language Learning

Learn Norwegian

A browser-based English-to-Norwegian practice app built for quick phrase lookup, pronunciation practice, and simple day-to-day language learning.

Tech Stack: HTML, CSS, JavaScript, browser audio playback, translation workflow, GitHub Pages

3 core learning flows
0 install required
2 direct proof links

What I built

I built a lightweight language practice tool where a learner can move from English phrases to Norwegian output and listen to pronunciation without installing anything.

Why I built it

I wanted the project to feel useful immediately. Instead of building a large learning platform, I focused on a compact flow that helps someone practice common phrases quickly.

Challenge I solved

The main challenge was keeping translation, phrase display, and audio playback simple enough for everyday use while still showing a clean frontend workflow.

Technical proof

  • Live GitHub Pages deployment available for browser-based testing.
  • Browser-first learning flow keeps practice available with zero install steps and direct audio playback.
  • Public repository shows the frontend structure, JavaScript interaction flow, and responsive UI work.

Additional Project Work

This project adds range in system design and documentation-based problem solving.

System Design

Accident Prevention, Detection, and Reporting System

Documentation-based safety system concept focused on linking prevention signals, accident detection, alerting, and reporting into one understandable response flow.

Project Type: System design and documentation project with workflow-level proof

  • Mapped the end-to-end flow from prevention to detection, alerting, and reporting.
  • Organized the concept as documentation that can be reviewed without needing a live deployment.
  • Shows structured thinking around safety logic, response flow, and problem framing.

Certificates

Certificates and completed courses.

I have included the certificates I completed in databases, prompt engineering, machine learning, and developer training, with direct links for review.

Cisco Networking Academy

Python Essentials 1

Networking Academy certificate awarded through the Cisco Networking Academy program for successfully completing Python Essentials 1 on 27 July 2025.

SITER Academy

International Mega Symposium Speaker

Certificate of excellence recognizing Sukumar’s valuable contribution as a speaker at the International Mega Symposium 2026, organized by SITER Academy, Norway.

SITER Academy

Full Stack Developer Internship

Certificate of appreciation for completing the SITER Academy full stack developer internship, including the Project 1: Bootcamp Website requirement.

Workshop

DBMS Hands-on Workshop

Certificate of participation awarded by SITER for attending the DBMS hands-on workshop.

AWS

Foundations of Prompt Engineering

AWS Training & Certification completion certificate for the Foundations of Prompt Engineering course.

IBM

Machine Learning with Python

Cognitive Class and IBM certificate for completing the ML0101EN Machine Learning with Python course.

Hashgraph

Hashgraph Developer Course

Certificate of completion for the Hashgraph Developer Course issued by the Hashgraph Association.

Infosys

Explore Machine Learning using Python

Infosys Springboard course completion certificate for Explore Machine Learning using Python.

Skills

Technical skills.

I grouped these skills clearly so hiring teams can scan my technical range quickly.

Programming Languages

C#, Python, Java, JavaScript, C, PHP

Frontend

HTML, CSS, jQuery, IndexedDB, JavaScript, responsive interfaces, browser-based UI workflows

Backend and APIs

Node.js, REST API integration, backend logic, request handling, Socket.IO, real-time communication basics

Databases and Platforms

SQL, Git, GitHub, GitHub Actions (CI/CD), GitHub Pages, Render, deployment and hosting workflows

Engineering Focus

Machine learning, WebRTC, browser APIs, REST APIs, debugging, prompt engineering foundations, practical problem solving

Languages

English (full professional proficiency), Telugu (mother tongue), Norwegian (A1/A2), German (beginner)

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