# Deviprasad Sunny

Deviprasad Sunny is a remote worker on Himalayas, AI Intern – TechSaksham at Edunet Foundation, based in India.

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

```text
AI/ML Engineer building LLM-powered applications, including a local RAG document assistant with source-page attribution.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 70k+ INR |
| Job categories | AI ML Engineer |
| Skills | Python, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI, Large Language Models, RAG, Prompt Engineering, Embeddings, Vector Search, Tool calling, Model Evaluation, Feature Engineering, fastAPI |
| LinkedIn | https://linkedin.com/in/deviprasad1010 |
| GitHub | https://github.com/deviprasad1010 |

## What I'm looking for

```text
I'm interested in developing production-oriented AI applications with clean, modular Python code, particularly LLM-powered applications using RAG, prompt engineering, tool calling, and LangChain or LangGraph workflows.
```

## About

```text
On my Local RAG Document Assistant project, I built a PDF question-answering application using document ingestion, HuggingFace embeddings, and Chroma vector search. It uses locally hosted Llama 3.2 through Ollama to generate document-grounded answers without paid LLM APIs.

I developed a LangGraph workflow for retrieval, relevance checking, query reformulation, and answer generation with source-page attribution, then exposed it through a FastAPI REST endpoint.

For my Real-Time Face Emotion Recognition project, I developed a Vision Transformer-based system using the FER2013 dataset and integrated the trained model with a live webcam pipeline using OpenCV. It achieved approximately 20 FPS inference during real-time prediction.

I also developed an NLP-based message spam classification system using Naive Bayes and LSTM, applying text preprocessing and TF-IDF vectorization. I evaluated it with accuracy, precision, recall, and F1-score, achieving an F1-score of 0.991.
```

## Experience

### AI Intern – TechSaksham

Edunet Foundation. Jan 2025 - Feb 2025

```text
Completed the AI: Transformative Learning with TechSaksham internship, a joint CSR initiative of Microsoft and SAP implemented by Edunet Foundation. Gained practical exposure to Artificial Intelligence concepts through the internship program.
```

Skills: AI

### Artificial Intelligence with Python Intern

Coincent. Apr 2024 - Jun 2024

```text
Completed an internship focused on Artificial Intelligence and Python, gaining practical exposure to AI concepts and Python-based development. Applied Python programming and AI concepts through hands-on technical assignments and implementation-oriented learning.
```

Skills: Python, AI

## Education

### Amrita Vishwa Vidyapeetham

Bachelor of Technology, Computer Science Engineering (AIE). 2021 - 2025

```text
Pursued a Bachelor of Technology in Computer Science Engineering with a focus on Artificial Intelligence.
```

### Velammal International School

Higher School, MPC (CBSE). 2019 - 2021. Grade: 87.80 percent

```text
Completed higher secondary education in MPC (CBSE) with 87.80 percent.
```

### Bharatiya Vidya Bhavan

Secondary School, CBSE. 2018 - 2019. Grade: 85.80 percent

```text
Completed secondary school education in CBSE with 85.80 percent.
```

## Tech stack

- Apache Spark
- GitHub
- NumPy
- Pandas
- Hadoop
- OpenCV
- Python
- TensorFlow
- PyTorch
- scikit-learn
- FastAPI
- Linux
- Git
- Docker
- SQL
- LangChain
- Ollama
- Pydantic
- LangGraph

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

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