# Kolluru Sekhar

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

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

```text
I build RAG applications, semantic search, and AI-powered full-stack systems.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 70k+ INR |
| Job categories | AI Engineer, Machine Learning Engineer, Data Scientist, Data Engineer, Full Stack Engineer, Software Engineer, Artificial Intelligence Engineer, AI ML Engineer, AI Engineering Specialist, AI Engineering, Artificial Intelligence Engineering, Python AI Engineer, AI Engineering Jobs |
| Skills | Generative AI, Large Language Models, Retrieval Augmented Generation (RAG) Systems, Lang Chain, Faiss, Prompt Engineering, Embeddings, Vector Search, TensorFlow, Keras, scikit learn, XGBoost, Pandas, NumPy, OpenCV, Machine Learning, Deep Learning, Natural Language Processing, fastAPI, REST APIs, Streamlit, Next.js, Python, SQL, Java, JavaScript, Azure, Azure Cosmos DB, MongoDB, Docker, PySpark, Azure Data Factory, Azure Synapse, Power BI, BM25, PubMedBERT, LLaMA 2, Mixtral, Gemini API, Jupyter, Gemini, GitHub, Airflow, DBs, GROQ, Cosmos, Factory |

## What I'm looking for

```text
I'm looking to build intelligent, context-aware AI systems, especially Generative AI applications using LLMs, RAG pipelines, vector search, and modern full-stack architectures.
```

## About

```text
I've built RAG-powered document chatbots and semantic search systems using LangChain, FAISS, Groq LLMs, LLaMA3, Mixtral, and vector embeddings.

For biomedical literature retrieval, I developed a hybrid RAG system combining BM25 and PubMedBERT, delivered through FastAPI, Next.js, Docker, and Azure Cosmos DB. I also built a healthcare platform using XGBoost, Gemini API, MongoDB, and Streamlit for disease prediction and patient management.

Through internships with Edunet Foundation, YBI Foundation, and Cognizant, I've worked on CNN waste classification, churn prediction, deep learning, and Azure data engineering workflows. I'm pursuing a B.Tech in Artificial Intelligence and Data Science and have published AI MedLab, an AI-based medical laboratory and e-health management system.
```

## Experience

### AI Intern

Edunet Foundation

```text
Developed a CNN-based Smart Waste Classification System using TensorFlow/Keras for real-time waste categorization. Preprocessed and augmented image datasets with OpenCV to improve model robustness and accuracy.
```

Skills: TensorFlow, Keras, OpenCV, CNN, Image-Processing

## Education

### R M K College of Engineering and Technology

Bachelor of Technology, Artificial Intelligence and Data Science. 2023 - Present. Grade: 8.45 CGPA

```text
Pursuing a B.Tech in Artificial Intelligence and Data Science with a CGPA of 8.45.
```

## Tech stack

- Azure Synapse
- Microsoft Azure
- GitHub
- Jupyter
- NumPy
- Pandas
- PySpark
- DB
- MongoDB
- Next.js
- OpenCV
- JavaScript
- Java
- TensorFlow
- scikit-learn
- Keras
- Streamlit
- FastAPI
- Gemini
- Airflow
- SQL
- Azure Cosmos DB
- XGBoost
- LangChain
- Groq
- Cosmos
- Faiss
- Factory

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

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