**Anudeep Gadige**
Software Engineer
anudeepgadige98@gmail.com | 312.866.9254
linkedin.com/in/anudeepgadige/ | github.com/anudeep-gad12

### Education
**Illinois Institute of Technology, Chicago, IL**
Master’s Degree in Computer Science (Expected 2024)
*Activities:* Student Ambassador @ World Business Chicago, Ex-Recruitment Chair @ Phi Kappa Sigma, SHPE

**Jawaharlal Nehru Tech University, India**
Bachelor’s Degree in Mechanical Engineering

### Skills
**Programming Languages:** JavaScript, TypeScript, Python, C, SQL, Java, PHP
**Frontend Tech:** React.js, Tailwind CSS, Redux, SASS, React Router, HTML5, CSS
**Backend Tech:** Node.js, Express.js, REST APIs, GraphQL, RabbitMQ, Nginx
**Databases & Tools:** MongoDB, AWS DynamoDB, Git, AWS EMR, S3, Jenkins, Jest, Linux, GitHub

### Experience
**CGI - Associate Software Engineer (Nov 2020 - Jun 2022)**
- Developed a custom React component for push notifications, interfaced with RabbitMQ enabling seamless updates.
- Migrated legacy multi-page order form to React with Redux for a B2B platform, reducing load times by 6 seconds and boosting user completion rates by 32%.
- Enhanced cross-browser compatibility and implemented responsive design for web solutions, delivering a seamless user experience across devices.
- Created a Python script to automate outdated log compression/deletion using Jenkins, achieving a 62% improvement in system maintenance.
- Reduced manual workload by 37% and accelerated release cycles by streamlining database dump transfers using Jenkins across multiple environments.

### Projects
**Crypto Index | React, TypeScript, Tailwind CSS, ChartJs, Vite**
cryptobase-index.netlify.app
- Engineered a cryptocurrency web app featuring 10,000+ assets, including top listings, news lookup, and in-depth profiles.
- Reduced load times by 50% through API optimizations, saving users 1,000+ hours annually.
- Increased system reliability by implementing rate throttling in search functionality, reducing rate limit overloads by 25%.
- Integrated price filtering into chart.js, achieving 30% faster data retrieval for efficient market analysis.
- Migrated the app from CRA to Vite, reducing build times by 45%.

**News Sentiment Analysis | JavaScript, Python, AWS EMR, S3, DynamoDB**
- Spearheaded a team to engineer a cloud-based sentiment analysis app analyzing 100,000+ news articles, rating publishers by sentiment.
- Boosted processing speed by 35% through AWS S3 and Apache Spark integration.
- Designed data visualization using Matplotlib to simplify sentiment trend tracking.

**Organize Hub | Python**
github.com/anudeep-gad12/organizeHub
- Automated file management with a Python script, saving 10+ hours weekly by efficiently organizing files into designated directories.

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