Hello, I'm Divyashree Shetti

Aspiring

Building innovative solutions with Google's philosophy in mind

About Me

Who I Am

I'm Divyashree Shetti, a third-year Computer Science Engineering student at KLE Technological University, Hubli. I have a strong interest in backend development. I’m passionate about system design, scalable cloud solutions, and software development. Driven by curiosity and a problem-solving mindset, I enjoy working in collaborative environments to build meaningful and efficient systems.

Why This Portfolio

This collection showcases my ability to analyse and handle complex problems with innovative thinking and technical excellence - qualities that align with Google's mission to organize the world's information.

Why Google

Google's culture of innovation, commitment to solving challenging problems, and impact at global scale inspires me. I want to contribute to projects that improve lives sustainably, while pushing technological boundaries.

Technical Skills

Back-End Development (Node.js, Python, C++)

90%

Web Development (MERN, Socket.io, Zustand)

85%

System Design (Workflow Design, REST API Planning)

75%

Cloud Computing (Docker, Kubernetes, Ansible)

70%

Database Management (MySQL, MongoDB)

70%

Version Control (Git, GitHub)

65%

Portfolio Summary

Case No. Business Domain Main Algorithm(s) Used View Page
1 Search Autocompletion Weighted FST
Trie
Ternary Search Tree
View All
2 Route Assessment Dijkstra's
A*
R-tree
Ford Fulkerson
View All
3 Data Storage and Indexing B-trees
Red Black Trees
Skiplists
View All
4 Real-Time Analytics and Monitoring Fenwick trees
Segment trees
View All
5 Content Ranking and Personalization Pagerank
Space Saving Algorithm
Locality Sensitive Hashing
View All

Featured Projects

Fake News Detection

Fake News Detection using Ensemble Learning

Python • PyTorch • Sklearn • BERT

Built a system to detect fake news using 8 classification models, 3 ensemble learning techniques and BERT embeddings. Published in INCOFT 2025 proceedings.

NLP BERT Ensemble Learning
HSL Bytecode System

NVIDIA HSL Bytecode Analysis and Execution

C++ • Embedded Systems • I2C

Engineered a system to analyze and execute HSL bytecode for I2C operations, enhancing debugging and performance insights.

Embedded C++ HSL Bytecode
Real-time Chat App

Quasario – Real-time Chat App

MERN • Socket.io • TailwindCSS

Built a full-stack chat app with real-time messaging, JWT auth, global state with Zustand, and modern UI using DaisyUI.

Web App MERN Socket.io
LLM Perception Study

NVIDIA – LLM Paired Comparison Experiment

Python • Gemini API • Statistics

Conducted a study on how Gemini models perceive sharpness in paired image comparisons with statistical analysis of responses.

LLM Research Image Processing

Get In Touch

Contact Information

divyashetti72@gmail.com


Hubli, India