# Sivani dangudubiyyam

Sivani dangudubiyyam is a remote worker on Himalayas, AI Intern at Edunet Foundation, based in India.

Source: https://himalayas.app/@sivanidangudubiyyam

```text
AI/ML intern who built a waste-classification CNN with over 90% accuracy and an AI learning-path generator using MCP.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 368k+ INR |
| Job categories | AI ML Intern |
| Skills | Machine Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Model Training, Model Evaluation, data preprocessing, TensorFlow, Keras, Python, Hugging Face Transformers, NumPy, Pandas, Model Context Protocol (MCP), Streamlit |

## What I'm looking for

```text
I’m seeking an AI/ML Intern role.
```

## About

```text
At Edunet Foundation, in a Microsoft & SAP Collaboration, I built a CNN-based image classification model to classify organic and recyclable waste. I handled data preprocessing, training, and evaluation with TensorFlow and Keras, achieving over 90% accuracy through hyperparameter tuning and optimization.

During my AI & Cloud internship at Edunet Foundation, in an IBM Collaboration, I worked with IBM Cloud services and AI tools to build intelligent applications. I developed an IBM Watson Assistant chatbot that generates quotes based on user input, with designed intents and conversational flows.

I built the Learning Path Generator, an AI-powered web application that creates personalized learning paths from users’ goals and timelines. I implemented Model Context Protocol to manage AI context and coordinate tools, and used Pipedream workflows to connect external services such as YouTube and Google Drive or Notion.

I also designed an n8n workflow to collect AI/ML research articles from RSS feeds, summarize them, and deliver a weekly email newsletter. I’m seeking an AI/ML Intern role.
```

## Experience

### AI Intern

Edunet Foundation. Jan 2025 - Feb 2025

```text
Built a CNN-based image classification model to classify organic and recyclable waste, achieving over 90% accuracy through hyperparameter tuning. Performed data preprocessing, model training, and evaluation using TensorFlow and Keras.
```

Skills: Python, TensorFlow, Keras, CNN, data-preprocessing, Model-Training, Model-Evaluation, Hyperparameter-Tuning

### AI & Cloud Intern

Edunet Foundation. Jul 2024 - Aug 2024

```text
Worked with IBM Cloud services and AI tools to build intelligent applications. Developed a chatbot using IBM Watson Assistant to generate quotes based on user input, designing intents and conversational flows to improve response accuracy.
```

Skills: IBM-Cloud, IBM-Watson, Chatbot-Development, Intent-Design, Conversational-Flow

## Education

### Bonam Venkata Chalamayya Institute of Technology and Science

B.Tech, Artificial Intelligence & Machine Learning. 2022 - Present. Grade: 8.26/10

```text
Pursuing a B.Tech in Artificial Intelligence & Machine Learning with a CGPA of 8.26/10.
```

### NxtWave Disruptive Technologies

Industry Ready Certification, Full Stack Development. 2022 - Present

```text
Ongoing Industry Ready Certification in Full Stack Development.
```

## Tech stack

- GitHub
- NumPy
- Pandas
- MySQL
- SQLite
- Bootstrap
- Pipedream
- JavaScript
- Python
- TensorFlow
- Keras
- Streamlit
- Git
- Google Colab
- IBM Cloud
- Cursor
- N8N
- Model Context Protocol (MCP)
- HTML
- CSS

To contact Sivani, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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