**Ajay Balaji**
602-831-8539
abalaj20@asu.edu
linkedin.com/in/ajayb95
github.com/Ajay-AI

### **SUMMARY**
Computer Science graduate with 1+ year of professional experience in full-stack development. Proficient in front-end technologies, back-end programming, and database management. Seeking full-time opportunities starting June 2024.

### **EDUCATION**
**M.S. Computer Science**
Arizona State University, Tempe, AZ | Expected May 2024
GPA: 4.0/4.0
Key Courses: Human-Computer Interaction, Data Visualization, Cloud Computing

**B.Tech. Mechanical Engineering**
Indian Institute of Technology, Bhilai, India | May 2021
GPA: 7.61/10.0
Key Courses: Data Structures, Algorithms, Operating Systems

### **TECHNICAL SKILLS**
- **Programming Languages:** Python, TypeScript, JavaScript, C/C++, Java, SQL
- **Web Technologies:** HTML, CSS, Angular, React, jQuery, D3, Axure RP
- **Back-End:** Node.js, Flask, REST API, SQL Server Management Studio, MySQL, PostgreSQL
- **Cloud & DevOps:** AWS (EC2, SQS, S3, Lambda, RDS, DynamoDB), Docker, Kubernetes, Boto3, Ceph, OpenFaaS
- **OS & Tools:** Windows, macOS, Git, GitHub, Jupyter Notebook, Jira
- **Machine Learning:** TensorFlow, Keras, scikit-learn, Natural Language Processing

### **PROFESSIONAL EXPERIENCE**
**Associate Software Engineer** | Clarivate PLC, Bengaluru, India | Jun 2021 – Jun 2022
- Managed the *Market Overview Interactive* database, overseeing health plan data for 220M policyholders across Medicare, Medicaid, and commercial enrollments using SQL Server Management Studio.
- Designed and developed *IPP (Integrated Payer Platform v2)* web application using Angular, streamlining user interactions and boosting productivity.
- Increased team productivity by 70% by creating an Angular-based web management tool for seamless data access.
- Migrated legacy *Medical Sandbox* tool from VB.NET to Angular, improving usability by 90%.

### **RELEVANT PROJECTS**
**Elastic Cloud Application with Autoscaling** | Fall 2023
- Developed an AWS-based scalable image recognition service using EC2, SQS, S3, and Boto3.

**Emergency Response Planning Dashboard** | Spring 2023
- Built a web-based visualization tool for emergency responders using React and D3.js.

**Edge Digit Classifier** | Fall 2022
- Engineered an Android app for edge computing using OpenCV and Keras, achieving 80% accuracy.

**Survey Application** | Summer 2021
- Developed a survey app with Angular front-end and Java SpringBoot back-end, storing data in AWS RDS.

no comments

✔ list