# Ranjith Kumar

Ranjith Kumar is a remote worker on Himalayas, Computer Vision Engineer at Zeus Artificial Intelligence, based in India.

Source: https://himalayas.app/@ranjithkumar15

```text
Computer Vision Engineer at Zeus Artificial Intelligence building real-time video analytics for agricultural and industrial monitoring.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 116k+ INR |
| Job categories | Computer Vision Engineer, AI Scientist, Machine Learning Engineer, Deep Learning Engineer |
| Skills | Computer Vision, Deep Learning, Object Detection, Anomaly Detection, Video Analytics, Edge AI, Model Optimization, Model Quantization, Multi Camera Processing, IoT Integration, RAG, OpenCV, PyTorch, TensorFlow, YOLO V5 |
| LinkedIn | https://linkedin.com/in/ranjithkumary |
| GitHub | https://github.com/ranjithkumar9343 |

## About

```text
At Zeus Artificial Intelligence, I architect and optimize real-time computer vision pipelines for an enterprise IoT cloud platform serving agricultural and industrial monitoring. I process multi-camera video streams and integrate vision outputs with cloud backends and IoT networks.

I fine-tune object detection models across the YOLO ecosystem and optimize inference for NVIDIA Jetson and AMD Ryzen AI hardware using TensorRT, ONNX Runtime, and quantization.

At L2M Rail, I developed and deployed anomaly detection and object detection models for railway infrastructure inspection. The models boosted prediction accuracy by 12%, and I also curated and preprocessed a dataset of more than 100,000 images.

Earlier at L2M Rail, I worked as a Machine Learning & Deep Learning Intern, optimizing edge ML models and evaluating predictive agent behavior. My projects include an automated handwritten answer script evaluation system using OCR and NLP.
```

## Experience

### Computer Vision Engineer (current)

Zeus Artificial Intelligence. Jul 2026 - Present

```text
Architect and optimize end-to-end real-time Computer Vision pipelines for an enterprise IoT Cloud Platform serving agricultural and industrial monitoring environments. Fine-tune and train SOTA object detection models across the YOLO ecosystem and accelerate inference on edge and cloud hardware.
```

Skills: OpenCV, PyTorch, TensorFlow, YOLOv8, YOLOv9, YOLOv10, YOLOv11, RTSP, FFMPEG, TensorRT, ONNX-Runtime, INT8-Quantization, FP16-Quantization, NVIDIA-Jetson, AMD-Ryzen-AI, MQTT, LoRaWAN, REST-APIs, NodeJS

### AI Scientist

L2M Rail. Jun 2025 - Dec 2025

```text
Developed and deployed anomaly detection and object detection models for automated railway infrastructure inspection, boosting prediction accuracy by 12%. Curated a dataset of 100,000+ images and built OpenCV pipelines for image enhancement.
```

Skills: PaDiM, YOLO-V5, YOLOv8, Faster-RCNN, ResNet50, ResNet-101, ResNet-152, EfficientNet, OpenCV, CLAHE, Histogram-Equalization, MQTT, RAG, SSIM, AUC-ROC, BRISQUE

### Machine Learning & Deep Learning Intern

L2M Rail. Nov 2023 - May 2025

```text
Spearheaded cross-functional technical alignment with a 4-member core engineering team, accelerating system deployment timelines by 15%. Designed and analyzed 10+ controlled experiments to evaluate predictive agent behavior, driving accuracy beyond 85%.
```

Skills: Machine-Learning, Deep-Learning, Edge-AI, Model-Optimization, Technical-Documentation, Experimental-Design

## Education

### Sai Vidya Institute of Technology

Bachelor of Engineering, Computer Science (AI & ML). 2021 - 2025. Grade: 8.93/10.0

```text
Bachelor of Engineering in Computer Science with specialization in AI & ML, completed in May 2025 with a CGPA of 8.93/10.0.
```

### Seshadripuram Composite PU College

Pre-University Course, Science (PCMC). 2019 - 2021. Grade: 93.17%

```text
Pre-University Course in Science stream (PCMC) completed in June 2021 with a percentage of 93.17%.
```

## Tech stack

- Node.js
- OpenCV
- FFMPEG
- Python
- Java
- C++
- TensorFlow
- PyTorch
- MQTT
- Linux
- Git
- SQL
- ONNX Runtime

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

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