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, Python, SQL, and REST APIs.
Full Stack
JavaScript
Java
Python
SQL
REST APIs
Machine Learning
Education
My studies gave me the base for software development, problem solving, and the project work shown here.
B.Tech - Vaagdevi College of Engineering
Bollikunta, Warangal • 2024
Diploma in Engineering - Vaagdevi Engineering College
Bollikunta, Warangal • 2021 - 2024
SSC - Spectra Global High School
Hanamkonda • 2020 - 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.
- 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.
- Improved day-to-day usability by debugging data-handling issues and cleaning up user flows.
- Worked with mentors and teammates to turn requirements into working features and reviewable demos.
- 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 - 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
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.
- Public GitHub repo available for reviewing the WebRTC and Socket.IO room implementation.
- Shows peer signaling, room-based interaction, 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
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.
- Public repository linked for reviewing the frontend structure and JavaScript flow.
- Shows DOM interaction, user input handling, translation flow, audio playback, and responsive UI work.
Additional Project Work
These projects add range in machine learning, data-focused problem solving, and one documentation-based system design concept.
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.
Android Malware Detection using Genetic Algorithm
Python-based malware classification workflow using genetic feature selection to reduce noise and improve model quality.
Tech Stack: Python, feature selection, machine learning workflow, classification
- Feature selection strategy built for better classification efficiency.
- Reusable machine learning pipeline and documented experimentation flow.
- Focused on improving reliability by selecting cleaner and more useful model inputs.
Online Payment Fraud Detection
Supervised learning project designed to detect suspicious transaction behavior from structured payment data.
Tech Stack: Python, supervised learning, preprocessing, fraud detection analysis
- Built preprocessing, feature engineering, and model evaluation steps.
- Focused on identifying suspicious patterns from transaction history.
- Structured as an end-to-end workflow from data preparation to prediction review.
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.
DBMS Hands-on Workshop
Certificate of participation awarded by SITER for attending the DBMS hands-on workshop.
Foundations of Prompt Engineering
AWS Training & Certification completion certificate for the Foundations of Prompt Engineering course.
Machine Learning with Python
Cognitive Class and IBM certificate for completing the ML0101EN Machine Learning with Python course.
Hashgraph Developer Course
Certificate of completion for the Hashgraph Developer Course issued by the Hashgraph Association.
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
JavaScript, Java, Python, SQL
Frontend
HTML, CSS, JavaScript, responsive interfaces, browser-based UI workflows
Backend and APIs
REST APIs, backend logic, request handling, real-time communication basics
Databases and Platforms
SQL, GitHub, GitHub Pages, Render, deployment and hosting workflows
Core Focus Areas
Machine learning, WebRTC, prompt engineering foundations, practical problem solving