**Labdhi Shah**
labdhishah5400@gmail.com | +1 (669) 264-0466
Fullerton, CA - 92831 | linkedin.com/in/labdhishah5400

### **EDUCATION**
**Master of Science, Computer Science**
California State University - Fullerton | GPA: 3.7/4.0 | Graduated: Jan 2024

**Bachelor of Engineering, Computer Science**
Gujarat Technological University | CGPA: 9.7/10.0 | Aug 2017 - Jul 2021

### **SKILLS**
**Languages:** Python, Java, JavaScript, C, HTML, CSS, PL/SQL, .NET
**Technologies & Frameworks:** ServiceNow, Django, Flask, ReactJS, Node.JS, RESTful Web Services
**Databases:** MySQL, PostgreSQL, MongoDB, Hadoop
**Cloud Technologies:** AWS (S3, EC2, EBS, EFS, ALB)
**Tools:** Git, MATLAB, Jupyter, IntelliJ, Visual Studio, XCode, Jira, Trello, PowerBI, Tableau

### **EXPERIENCE**
**Student Assistant Grader**
California State University – Fullerton | Aug 2022 - Dec 2023
- Evaluated assignments and projects for computer science courses.
- Provided guidance to students on assignment criteria and inquiries.

**Software Engineer**
Logic Spark Technology | Jan 2021 – Dec 2021
- Developed Python applications with MySQL integration for efficient database management.
- Implemented OAuth2.0 authentication, reducing unauthorized incidents by 70%.
- Integrated AWS (S3, EC2) for cloud deployment, cutting infrastructure costs by 40%.
- Engineered Flask microservices, reducing development time by 50%.
- Migrated Django database to PostgreSQL, ensuring 90% error-free operation.

**Software Engineer**
SCION | Jan 2020 – Dec 2020
- Led front-end development with ReactJS, reducing page load times by 50%.
- Designed RESTful APIs using Node.js, handling 500+ concurrent connections.
- Implemented Git version control, reducing code conflicts by 80%.
- Utilized CI/CD pipelines, cutting deployment errors by 90%.

### **PROJECTS**
**RMN Auto Sale**
- Built Python-based automobile rental system using Django, improving UI for 10% higher booking convenience.
- Conducted testing with Selenium/JUnit, achieving 99% platform uptime.
- Used ReactJS for dynamic front-end components.

**Study Buddy**
- Developed an online collaboration platform with Django for seamless data management.
- Enabled real-time communication via WebSocket, increasing user engagement by 30%.

**Heart Attack Prediction**
- Created Flask/JavaScript web app predicting heart disease with 94% accuracy.
- Dockerized deployment, reducing setup time by 30%.
- Integrated MongoDB, speeding up queries by 25%.

**Chunky Food Restaurant**
- Built restaurant management system with Java/ReactJS, improving performance by 20%.
- Integrated payment APIs, increasing online orders by 25%.

**Savy Traveler Problem**
- Developed Java-based travel optimization algorithm using graph theory, boosting reliability by 20%.
- Leveraged AWS Lambda for serverless computation.

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