**Vikas Chercadu**
San Jose, CA
(408) 690-9545
vikas.chercadu@sjsu.edu
linkedin.com/in/vikas-chercadu

### **EDUCATION**
**M.S., Computer Science** | May 2024
San Jose State University, San Jose, CA
*Relevant Coursework:* Design and Analysis of Algorithms, Topics in Cloud Computing, NoSQL Database Systems, Advanced Parallel Processing, Reinforcement Learning, Randomized Algorithms and Applications

**B.Tech., Computer Science and Engineering** | Jul 2021
Sree Vidyanikethan Engineering College, Tirupati, India
*Relevant Coursework:* Object-Oriented Analysis and Design, Linux Programming, Web Technologies, Human-Computer Interaction

### **SKILLS**
- **Programming Languages:** C#, Java, Python
- **Web Technologies:** .NET Framework, .NET Core, Spring Boot, JavaScript, Angular
- **Databases:** MySQL, MongoDB, PostgreSQL, Oracle
- **Other:** Git, AWS (EC2, S3), Docker, Kubernetes, Postman, Figma

### **WORK EXPERIENCE**
**Software Engineer-1, Hashedin by Deloitte** | Bengaluru, India | Jun 2021 - Aug 2022
- Designed a .NET and PostgreSQL module for health insurance member onboarding.
- Led Angular component implementation, improving user satisfaction by 20%.
- Optimized code for three modules, enhancing performance by 30%.
- Developed a Spring Boot, PostgreSQL, Angular, and Docker-based web app for appointment scheduling and virtual consultations.
- Designed UI wireframes using Angular and Figma.
- Integrated payment gateways and delivery services for enhanced functionality.

**Full Stack Developer, Keka Technologies** | Hyderabad, India | Jun 2020 - May 2021
- Built a .NET and Angular-based Movie Ticket Booking App with admin dashboard.
- Used MVC architecture and PetaPoco ORM to develop five single-page apps.
- Optimized SQL queries, improving performance by 34%.

### **PROJECT EXPERIENCE**
**Skin Cancer Detection using Reinforcement Learning** | San Jose State University | Feb 2024 - May 2024
- Achieved 94% accuracy in lesion classification using Multi-Agent RL and Deep Q-Networks.
- Leveraged HAM10000 dataset and VGG16 feature extraction for enhanced diagnostics.
- Optimized reward mechanisms, outperforming traditional methods.

**Health & Fitness Tracker Web Application** | San Jose State University | Mar 2023 - May 2023
- Built with Spring Boot, React, and MongoDB.
- Reduced deployment time by 60% using Docker and Kubernetes.
- Improved data retrieval speed by 40% through indexing and query optimization.

**Dropbox Clone Web Application** | San Jose State University | Sep 2022 - Nov 2022
- Developed a MERN stack-based file-sharing app.
- Deployed scalable architecture on AWS with NGINX.
- Cut data retrieval time by 40% via S3 integration.

**Automatic Attendance System using Face Detection** | SVEC | Dec 2020 - Feb 2021
- Built with Python, CV2, TensorFlow, and Siamese neural networks.
- Trained on custom dataset (200 epochs), achieving 91% accuracy.

no comments

✔ list