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**Kapil Gulani**
kapilgullani@gmail.com | +1 9166959979
San Jose, CA | [www.kapilgulani.site](http://www.kapilgulani.site) | [GitHub](https://github.com/) | [LinkedIn](https://linkedin.com/)
### **EDUCATION**
**Master of Science, Software Engineering**
San Jose State University, San Jose, CA | Aug 2023 - Present
**Bachelor of Technology, Computer Science**
Medi-Caps University, India | Aug 2017 - May 2021
### **TECHNICAL PROFICIENCY**
**Languages:** Java, Python, Kotlin, C/C++, MySQL, JavaScript/TypeScript, Go, HTML, CSS
**Frameworks:** Node.js, Flask, Django, Express.js, Spring Boot, React.js, Angular.js, Web2py, Material-UI, Bootstrap
**Technologies:** Docker, Kubernetes, AWS, Azure, GCP, Kafka, Pandas, Nginx, NumPy, OpenCV, Scikit-learn, TensorFlow, PyTorch
**Developer Tools:** Linux, Git, Jira, BitBucket, Jenkins, Selenium, Appium, Apache, GitLab, Terraform, Postman
**Databases:** MongoDB, MySQL, Elasticsearch, DynamoDB, RDS, Redis, PostgreSQL, Firebase
### **WORK EXPERIENCE**
**Software Engineer — Web Craft IT, India** | July 2021 – June 2023
- Upgraded cloud APIs with a Distributed Microservice Architecture, improving scalability by 40% and reliability by 25%.
- Engineered 20+ RESTful microservices with Flask/Django, applying SOLID principles and design patterns.
- Integrated Jenkins CI/CD, reducing time-to-market by 20% and improving product quality by 30%.
**Software Developer Intern — E-solutions Private Limited, India** | Feb 2021 - May 2021
- Led full-stack development using React.js and Spring Boot, increasing deployment speed by 25%.
- Enhanced admin portal with 10+ features via RESTful APIs, improving operational efficiency.
### **PROJECT WORK**
**ARTLAND: E-Commerce Website** | Jan 2024 - Present
- Reduced deployment time by 70% using Jenkins CI/CD; integrated Stripe API, increasing sales by 40%.
- Built scalable platform with Flask, MongoDB, and Kubernetes, achieving 99.9% uptime.
**SIGNATURE VERIFICATION SYSTEM: Web App** | Jan 2024 - Present
- Boosted security by 30% using YOLO v5, ResNet, and NLP techniques.
**CINEXUS: Movie Theater Management Android App** | Sep 2023 - Dec 2023
- Improved booking efficiency by 50% with Kotlin, Flask/Django, and AWS EC2.
**GO-BIKE SHARE: Demand Prediction Model** | Sep 2023 - Nov 2023
- Enhanced RMSE accuracy by 20% using LSTM, DNN, and Prophet models.
### **AWARDS**
- Certified in **Python for Everybody Specialization** (University of Michigan).
- **3rd Place** in Entrepreneurship-cell competition.
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