Computer Science Engineering Student | Software Development | AI & Data Science
Building practical software applications and exploring intelligent, data-driven solutions.
I'm Suhas G, a Computer Science Engineering student focused on software development, artificial intelligence, and data science.
I enjoy building practical applications that solve real-world problems while developing strong fundamentals in software engineering, backend development, databases, and AI/ML.
Currently, I'm focused on:
- Building full-stack software applications
- Developing AI and data-driven applications
- Strengthening backend and REST API development
- Improving Data Structures & Algorithms
- Learning software architecture and system design
- Exploring cloud and DevOps technologies
- Participating in hackathons and developer communities
- Learning through hands-on projects and open-source development
Goal: Grow into a strong software engineer capable of building reliable, scalable, and intelligent applications.
Python Β· Java Β· C++ Β· C Β· JavaScript Β· TypeScript
React Β· TypeScript Β· Vite Β· HTML Β· CSS Β· Tailwind CSS
Node.js Β· Express.js Β· Flask Β· REST APIs
MySQL Β· Firebase Β· PostgreSQL
Python Β· Machine Learning Β· Data Analysis Β· Scikit-learn Β· NumPy Β· Pandas Β· Matplotlib Β· LLM Applications Β· AI Agents
AWS Β· Docker Β· GitHub Actions Β· Linux Β· Kubernetes
Git Β· GitHub Β· VS Code Β· Postman Β· Figma
A full-stack healthcare management application designed to simplify hospital workflows and manage patients, appointments, and hospital resources.
- Patient management
- Appointment management
- Hospital resource management
- AI-assisted healthcare features
- Web-based application architecture
- Backend API services
React Β· Node.js Β· Express.js Β· PostgreSQL
An AI-focused project exploring the application of machine learning and computational techniques to drug discovery and biomedical data.
- Machine learning
- Biomedical data analysis
- Prediction models
- Molecular data processing
- AI-assisted drug discovery workflows
Python Β· Machine Learning Β· RDKit Β· Streamlit
A full-stack academic project for managing student information and academic data through a modern web application.
- Student information management
- Firebase database integration
- Google OAuth authentication
- TypeScript-based frontend
- RESTful backend services
- Modern responsive interface
React Β· TypeScript Β· Vite Β· Node.js Β· Express.js Β· Firebase Β· Google OAuth
An AI-oriented software project exploring technology-driven approaches to disaster management and emergency-response challenges.
- AI-powered solutions
- Disaster management
- Data-driven decision making
- Emergency-response concepts
- Real-world problem solving
JavaScript Β· AI Β· Web Technologies
Participating in GCI World 2026, an international AI and data science education program developed by the Matsuo-Iwasawa Laboratory at The University of Tokyo.
The program provides hands-on learning in data science, Python, machine learning, and practical applications of data. The 2026 curriculum includes NumPy, Pandas, Matplotlib, supervised learning, model evaluation, feature engineering, SQL, unsupervised learning, and time-series analysis.
- Python for Data Science
- NumPy
- Pandas
- Data Cleaning
- Data Visualization
- Supervised Learning
- Model Evaluation
- Feature Engineering
- SQL
- Unsupervised Learning
- Time-Series Analysis
- Data Science Competition
- Practical Business Applications
GCI World 2026 β September
Organization: Matsuo-Iwasawa Laboratory, The University of Tokyo
Domain: AI & Data Science
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| Role | Contribution |
|---|---|
| π AWS Student Builder Group Leader | Promoting cloud learning and helping students explore AWS technologies |
| π HackerRank Campus Crew | Encouraging competitive programming and coding culture |
| π Google Developer Program Member | Learning through Google's developer ecosystem |
| π Hackathon Participant | Working on real-world problems through collaborative development |
I enjoy learning through hackathons, collaborative projects, and open-source development.
These experiences help me:
- Work with unfamiliar technologies
- Understand real-world problem statements
- Build prototypes under constraints
- Collaborate with other developers
- Improve problem-solving skills
- Learn from practical engineering challenges
Jain Institute of Technology, Davangere
Visvesvaraya Technological University (VTU)
Expected Graduation: 2028
2023
β
βββ Started Programming
β
2024
β
βββ Built Software Applications
βββ Participated in Hackathons
β
2025
β
βββ Started AI Projects
βββ Explored Cloud Technologies
β
2026
β
βββ Software Engineering
βββ AI & Data Science
βββ GCI World 2026
βββ Cloud & DevOps
βββ Developer Community Leadership
βββ Open Source
β
Future
β
βββ Software Engineer | AI Engineer
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Building practical applications while improving backend development, APIs, architecture, and problem-solving. |
Developing AI-powered applications and strengthening machine learning and data science fundamentals. |
Learning cloud infrastructure, containers, CI/CD, and scalable application deployment. |
Build practical solutions.
Learn by building.
Keep improving fundamentals.
Write maintainable code.
Understand the problem before the technology.
Stay curious.
I'm always interested in connecting with developers, students, builders, and communities working on interesting technology projects.
Building. Learning. Improving.
