**Lakshmi Sandeep Kandur**
Santa Clara, CA (Open to Relocation)
(669) 282-5425
lkandur.sandeep@gmail.com
LinkedIn | GitHub

### **EDUCATION**
**Santa Clara University**, Santa Clara, CA
*Master of Science in Computer Science* | Mar 2024
- Relevant Coursework: Distributed Systems, Design & Analysis of Algorithms, Advanced Web Programming, Advanced Operating Systems

**GITAM University**, Hyderabad, India
*Bachelor of Technology in Computer Science* | Jun 2021
- Relevant Coursework: Operating Systems, Machine Learning, Computer Architecture, Computer Networks

### **TECHNICAL SKILLS**
- **Programming Languages**: Python, Java, JavaScript, C/C++, Shell Script
- **Cloud Technologies**: AWS (S3, ECS, ECR, Elasticsearch, Lambda, IAM, RDS), Docker, Kubernetes
- **Frameworks & Libraries**: React, NextJS, Flutter, Flask, Spring Boot
- **Databases**: MySQL, NoSQL, Oracle SQL, MongoDB

### **WORK EXPERIENCE**
**Frugal Innovation Hub (SCU)**, California
*Researcher* | Jan 2023 – Present
- Designed a bilingual math app using Flutter and Figma to enhance math and English learning.
- Integrated bilingual voice with AWS Lambda, improving engagement and pronunciation skills for young learners.
- Implemented Git for version control and Python for backend, ensuring efficient team collaboration.
- Tested across devices using Emulator and Java, ensuring a seamless UX.
- Analyzed user feedback with Python to enhance learning outcomes and app satisfaction.
- Utilized Mural for game design and JS for interactive features in educational games.
- Tracked KPIs with MongoDB to gauge app popularity and learning effectiveness.

### **PROJECTS**
**Prediction of Diabetes in Pregnant Women Using Machine Learning** – *Python | Scikit-Learn*
- Achieved 93% accuracy in predicting gestational diabetes using Scikit-Learn and neural networks.
- Developed GUI with PyQt and analyzed results via MSE, improving diagnostic precision.

**Food Ordering App** – *Java | MVVM Architecture*
- Built app with Retrofit2 and Room database, ensuring live data integration and delivery efficiency.

**Motivational Monural and Binaural Beats Using Python’s Accel Brain Beat**
- Created focus/relaxation beats app with Python, PyQt, and SQLite, receiving positive user feedback.

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