# Baddala Govardhan Reddy

> Software Engineer | Backend Development | Python | Java | AWS | Distributed Systems | REST APIs | SQL | Cloud Applications

Location: San Francisco, California, United States
Profile: https://flows.cv/baddala

I’m a Data Science graduate student at California State University, Chico (Class of 2026) with over 3 years of hands-on experience in machine learning, cloud optimization, and full-stack development. I enjoy building scalable, data-driven solutions that solve real-world problems  from AI-powered assistants and interactive dashboards to cloud cost optimization tools and e-learning platforms. 

🌐 What I Do:
Develop and deploy machine learning & deep learning models for image recognition, text classification, and NLP tasks.
Design cloud-based dashboards using AWS, Python, and Grafana to improve cost efficiency and resource utilization.
Build web platforms and full-stack solutions that enhance accessibility, engagement, and innovation.

Highlights:

Reduced cloud costs by 15% at CSU through automated monitoring and optimization.
Achieved 92% accuracy with CNN models for image classification and 94% accuracy with NLP-driven text classification.
Created a centralized hub supporting 500+ startups and entrepreneurs for collaboration and business development.
Engineered AI solutions that automate workflows, improve efficiency, and drive user engagement.

🛠️ Skills & Tools: Python, C/C++, SQL, R, Java, AWS, Node.js, React.js, JavaScript, TypeScript, CI/CD, HTML, C#, CSS, NoSQL, PowerShell, Power BI, Machine Learning, Artificial Intelligence, Natural Language Processing (NLP), Pattern Recognition, Pandas, NumPy, Matplotlib, Open CV, Scikit-learn, TensorFlow, Native base, DevOps, Android Studio, VS Code, Git, RStudio, Software Development

I’m passionate about leveraging data, AI, and cloud technologies to drive innovation and efficiency. Always open to connecting with professionals, collaborators, and organizations working at the intersection of data science, cloud computing, and AI solutions.

## Work Experience
### Software Developer @ Chico State Enterprises
Jan 2024 – Present
1. Developed an offline-first web application using React and PouchDB to enable students to collect field data without internet access, reducing data loss and delays.
2. Integrated CouchDB synchronization to automatically update and merge data once connectivity is restored, ensuring reliability and accuracy.
3. Containerized the application with Docker and deployed using NGINX as a reverse proxy for consistent, scalable, and efficient performance.

### AI Engineer @ Cornerstone
Jan 2025 – Jan 2026
• Developed and deployed AI systems using machine learning and deep learning techniques.  
• Designed, trained, and optimized AI models for integration into existing applications.  
• Continuously improved system performance and functionality to meet evolving needs.  
• Collaborated with cross-functional teams at Cornerstone, a dynamic startup focused on innovative AI solutions.

### Cloud Support Engineer @ Cornerstone
Jan 2025 – Jan 2025
• Designed and deployed modular multi-agent AI systems utilizing LLMs to streamline complex SaaS workflows.  
• Developed intelligent agent orchestration integrated with Azure cloud infrastructure for scalable deployments.  
• Collaborated with product and DevOps teams to deliver CI/CD-ready AI agents, ensuring reliability and comprehensive documentation.

### Software Development Intern @ Christ University, Bangalore
Jan 2023 – Jan 2024
1. Designed and developed a responsive website structure with an intuitive layout, boosting user engagement by 35%.
2. Partnered with the CIC team to gather requirements and apply iterative enhancements, cutting feedback turnaround time by 50%.
3. Created a centralized digital hub serving 500+ startups, entrepreneurs, and students, enabling seamless access to resources for innovation and business growth.

### Machine Learning Intern @ zebo.ai: AI Based Dermatology Platform
Jan 2022 – Jan 2023 | Bengaluru, Karnataka, India
1. Collected and prepared a dataset of 10,000+ images, streamlining the training process and boosting efficiency by 30%.
2. Built a Convolutional Neural Network (CNN) with TensorFlow/Keras, reaching 92% accuracy on validation data.
3. Improved recognition rates by 15% over baseline through careful analysis, optimization, and hyperparameter tuning.

### Campus Ambassador @ Cisco
Jan 2021 – Jan 2022

### Artificial Intelligence Intern @ 1Stop.ai
Jan 2022 – Jan 2022 | Bengaluru, Karnataka, India
1. Developed machine learning and neural network models to classify 20,000+ news articles, reaching 94% validation accuracy.
2. Optimized data preprocessing pipelines, automating cleaning and feature engineering to cut training time by 40%.
3. Enhanced model evaluation and tuning, boosting classification accuracy by 12% compared to baseline models.


## Education
### Master's degree in Data Science and Analytics
California State University, Chico

### Bachelor of Engineering - BE in Computer Engineering (Artificial Intelligence and Machine Learning)
Christ University, Bangalore

### Intermediate (12th Grade) in Physics, Chemistry, Mathematics (PCM)
Sri Chaitanya College of Education

### Secondary (10th Grade)
Narayana Institute


## Contact & Social
- LinkedIn: https://linkedin.com/in/baddala-govardhan-reddy-83602a233
- Website: https://baddala-govardhan.github.io/

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Source: https://flows.cv/baddala
JSON Resume: https://flows.cv/baddala/resume.json
Last updated: 2026-04-05