# DURLA LAKSHMIVENKATA NAGA VISWANADHA REDDY User

DURLA LAKSHMIVENKATA NAGA VISWANADHA REDDY User is a remote worker on Himalayas, Research Intern (UAV CV) at National Institute of Ocean Technology, based in India.

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

```text
I’m an AI/ML research intern building computer vision pipelines for real-world environmental monitoring.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | India |
| Authorized to work in | India |
| Job categories | Research Intern, Computer Vision Engineer, Machine Learning Engineer, Deep Learning Engineer, IoT Engineer, Research Scientist Intern, Academic Research Intern, PhD Research Intern, Data Analysis Research Intern, Clinical Research Intern |
| Skills | YOLO V5, Python, Matlab, C, SQL, TensorFlow, Keras, scikit learn, Pandas, OpenCV, Librosa, Orb, SIFT, FLANN, UAV Image Stitching, 3D Representations, Airflow, GitHub, NumPy |
| LinkedIn | https://https://www.linkedin.com/in/durla-lakshmivenkata-naga-viswanadha-reddy-845387216 |
| GitHub | https://github.com/ViswanadhaReddy08 |

## What I'm looking for

```text
I’m looking for an AI/ML or computer-vision role where I can build and deploy end-to-end pipelines—from data processing to inference—especially involving environmental monitoring or IoT-enabled sensing, with strong mentorship and real impact.
```

## About

```text
I’m an AI/ML-focused research intern with a B.Tech in ECE (Specialization in AIML), and I’m drawn to end-to-end problems where deep learning, computer vision, and sensor data come together. I work best when I can translate messy real-world inputs into analysis-ready outputs that teams can actually use.

At the National Institute of Ocean Technology (NIOT) under the Govt. of India, I built a UAV image stitching pipeline using ORB, SIFT, and FLANN feature-matching for large-scale coastal terrain mapping. I also implemented orthophoto generation with illumination correction, and converted 2D orthomosaic outputs into analysis-ready formats used in active NIOT coastal monitoring workflows.

My projects mirror the same mindset: deploy models into practical pipelines. For drone-based image processing and classification, I integrated YOLOv5 real-time object detection on orthomosaic imagery and converted 2D mosaics into 3D spatial representations for volumetric terrain analysis. I’ve also designed a custom CNN + Bi-GRU hybrid model with attention for audio-based classification, achieving 87.4% accuracy using Ranger optimizer and Cosine Decay learning-rate scheduling, and delivering a clear improvement over a baseline CNN.

I care about performance and usability, not just accuracy. In sleep apnea detection, I designed a lightweight deep neural network with TensorFlow for real-time monitoring (over 92% detection accuracy) and optimized model size and inference latency for IoT-enabled wearable deployment. I’m motivated to keep building robust, efficient AI systems that can run reliably in real environments.
```

## Experience

### Research Intern (UAV CV)

National Institute of Ocean Technology. Jan 2025 - May 2025

```text
Built a UAV image stitching pipeline using ORB, SIFT, and FLANN to support large-scale coastal terrain mapping for environmental monitoring. Implemented orthophoto generation with illumination correction and converted 2D orthomosaics into analysis-ready outputs for NIOT coastal monitoring workflows.
```

Skills: UAV-Image-Stitching, Orb, SIFT, FLANN-Feature-Matching, Illumination-Correction, Computer-Vision, Image-Mosaicking, OpenCV

## Education

### Vel Tech Rangarajan Dr. Sagunthala R&D Institute

Bachelor of Technology, Electronics and Communication Engineering (AIML). 2021 - 2025. Grade: CGPA: 8.26

```text
Pursued a B.Tech in Electronics and Communication Engineering with a specialization in AI & Machine Learning from 2021 to 2025.
```

### Narayana Junior College

Intermediate, Mathematics, Physics, Chemistry (MPC). 2019 - 2021. Grade: Marks: 778

```text
Completed Intermediate studies with MPC (Mathematics, Physics, Chemistry) from 2019 to 2021.
```

### Narayana E.M. High School

Matriculation, General Education. 2019 - Present. Grade: CGPA: 9.8

```text
Completed Matriculation in 2019.
```

## Tech stack

- GitHub
- NumPy
- Pandas
- Gmail
- OpenCV
- MATLAB
- TensorFlow
- scikit-learn
- Keras
- Airflow
- SQL
- Orb
- Jan
- Librosa

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

## People also viewed

- [Ashish Sharma](https://himalayas.app/@ashishsharma9): Underwater AI Researcher, NIT Rourkela (Student Project)
- [Pragati Jain](https://himalayas.app/@pragatijain): Research Intern, IIT BHU
- [Shruti k](https://himalayas.app/@shrutik1): Research Intern Computer Vision, Visvesvaraya National Institute of Technology
- [Tejas Shrivastava](https://himalayas.app/@tejasshrivastava): Machine Learning Intern, Bharat Atomic
- [Tanish User](https://himalayas.app/@tanishuser1): Developer Intern, Samsung R&D Institute India
- [Saumya Tamrakar](https://himalayas.app/@saumyatamrakar): Research Intern, Indian Institute of Information Technology (IIIT) Allahabad
- [Harshal Ghadge](https://himalayas.app/@harshalghadge): Computer Vision Engineer Intern, Institute of Marine Research
- [Mohit Aditya](https://himalayas.app/@mohitaditya): AI Intern, IRDE, DRDO Ministry of Defence, Govt. of India
- [Shreya Singh](https://himalayas.app/@shreyasingh31): Autonomous Systems Engineer Intern, InsideFPV Drones
- [Akshay Agile](https://himalayas.app/@akshayagile): Research Intern, Computer Vision, Centre for Artificial Intelligence and Robotics (CAIR), DRDO
