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fun buildApp() {
  val intent = Intent()
  setContentView(R.layout.main)
class MainActivity : AppCompatActivity()
  override fun onCreate()
model.predict(inputData)
suspend fun fetchData()
  viewModelScope.launch {
Available for opportunities

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0+ LeetCode Problems
0+ Projects Built
0 Certifications
9:41
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People Hub
DevTeam Hey! The new build looks great 🚀
Thanks! Just pushed the Kotlin migration ✨
ML-Bot Model accuracy: 94.7% 📊
Deploying to production now 🎯
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About Me

I'm a passionate Android App Developer & ML Engineer, and a Computer Science student at Lovely Professional University. I specialize in building robust mobile applications using Kotlin and Java, and developing intelligent machine learning solutions with Python, alongside full-stack experience with Spring Boot.

With a strong foundation in DSA (200+ LeetCode problems solved), machine learning, and real-world app deployment, I bring both technical depth and practical experience to every project.

Skills

Languages

C++ C Python3 Java 8+ MySQL HTML CSS Kotlin XML

Frameworks

Scikit Learn NumPy Pandas Jetpack Compose Spring Boot

Core Concepts

DSA OOP Machine Learning NLP

Tools / Platforms

Android Studio VS Code GitHub

Technologies

REST APIs JWT Authentication

Soft Skills

Problem-Solving Team Player Project Management Adaptability

Internship

CSE-PATHASALA

DSA Using OOPs — Summer Internship

Since June 2025
  • Successfully completed a summer internship project focused on building robust and efficient Data Structures and Algorithms (DSA) using an Object-Oriented Programming (OOP) approach.
  • Designed and implemented fundamental data structures including Stacks, Queues, Binary Search Trees, and Graphs.
  • Developed and applied key algorithms such as Merge Sort and Dijkstra's Algorithm to solve complex computational problems.
  • Followed core OOP principles including encapsulation and abstraction to ensure modular, scalable, and maintainable code.

Projects

Machine Learning

Predicting Machine Failure in Medical Sector

Designed an ML-powered web solution to analyse operational parameters such as device age, usage trends, environmental conditions, and MTTF for early failure prediction. Leveraged Logistic Regression to classify equipment failure risk and flag high-risk devices for proactive maintenance. Reached ~90% prediction accuracy.

Python3 Google Colab Scikit-learn Data Visualization
View on Hugging Face
Full-Stack

People Hub — Community-Based Communication App

Designed and developed a full-stack communication platform for real-time messaging and community-based interactions. Implemented secure JWT-based authentication with session handling and "Remember Me" functionality. Built a responsive Android application with modern UI components and light/dark theme support.

Kotlin Android Studio Spring Boot MySQL Retrofit OkHttp
View on GitHub
AI / Optimization

Image Recognition Using PSO

Implemented an image recognition system leveraging Particle Swarm Optimization (PSO) to tune model hyper-parameters and optimize feature selection. Achieved improved classification accuracy by evolving swarm-based solutions across training iterations.

Python PSO OpenCV NumPy Scikit-learn
View on GitHub

Certificates & Achievements

Aug 2025

Chatbot Building — IBM

Completed IBM's chatbot development certification.

View Certificate
Sep 2025

Jetpack Compose & Android App Development

Certified in Jetpack Compose and Android application development.

View Certificate
Jul 2025

DSA using OOPs — CSE Pathasala

Completed data structures & algorithms course with OOP principles.

View Certificate
Mar 2026

Spring Boot — Coursera

Completed Spring Boot development course from Coursera.

Link coming soon
Achievement

CODE OFF DUTY — 24HR Hackathon

Secured 8th place in a 24-hour hackathon, demonstrating rapid prototyping and teamwork under pressure.

Achievement

Real-World App Deployment — Humble Coders

Participated in real-world app deployment, gaining practical experience in shipping production apps.

Achievement

200+ DSA Problems on LeetCode

Solved over 200 DSA interview problems, strengthening algorithm design and problem-solving skills.

Education

Aug 2027 – Present

Lovely Professional University

Punjab, India

B.Tech — Computer Science & Engineering

CGPA: 7.00
Apr 2021 – Mar 2023

Krishnareddy's Sri Chaithanya

Ragavendracolony, Tirupati

Intermediate

Percentage: 93%
Apr 2020 – Mar 2021

Academic Heights School

Mr. Palli, Tirupati

Secondary Education

Percentage: 99.5%

Let's Connect

Interested in collaborating on Android projects or have an opportunity? I'd love to hear from you.

kkucpr@gmail.com LinkedIn GitHub