# Erdauit Torekhan

Erdauit Torekhan is a remote worker on Himalayas, Lead Computer Vision Researcher at Qoima Automation, based in Kazakhstan.

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

```text
Computer vision researcher at Qoima Automation who built real-time analytics for 15 camera streams on one machine.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Kazakhstan |
| Authorized to work in | Kazakhstan |
| Salary expectations | 65k+ USD |
| Job categories | Computer Vision Engineer, Machine Learning Engineer, Research Engineer, Data Engineer |
| Skills | Computer Vision, Antispoofing, Presentation Attack Detection (PAD), Object Detection, Multi Object Tracking, Model Training, Model Evaluation, Video Analytics, Vision Language Models, Synthetic Data Generation, Auto Annotation Tools, RAG, Vector Search, ETL, APCER |

## About

```text
At Qoima Automation, I designed and implemented a computer vision system for multi-camera analytics, processing 15 camera streams on a single machine. I optimized inference with TensorRT, quantization, and NVIDIA Triton, reducing latency roughly 5–6x.

At OZ Forensics, I designed and trained a lightweight LSTM model for face presentation-attack detection. My work also includes building synthetic training-data and RAG pipelines, and researching visual features for a first-author IEEE SIST 2025 study.
```

## Experience

### Lead Computer Vision Researcher (current)

Qoima Automation. Apr 2026 - Present

```text
Designed and implemented the computer vision architecture from scratch, including detection, multi-object tracking, and vision-language models. Optimized inference with TensorRT and NVIDIA Triton, cutting latency 5-6x, and built the full training pipeline with CI/CD.
```

Skills: Computer-Vision, Object-Detection, Multi-Object-Tracking, Vision-Language-Models, TensorRT, NVIDIA-Triton-Inference-Server, FFMPEG, YOLOv8, SAM, CLIP, Dino, Weights-Biases, CI-CD, CVAT, Docker, Kubernetes

### Research Engineer (current)

FLIS Lab, Kazakh-British Technical University. Feb 2024 - Present

```text
Led visual-feature extraction and evaluation for a first-author study on painting aesthetics, published at IEEE SIST 2025. Contributed to research on multimodal emotion recognition and fuzzy color representations, and mentored undergraduate researchers.
```

Skills: Feature-Extraction, Emotion-Recognition, Fuzzy-Color-Representations, Research, Mentorship

### Middle Computer Vision Researcher

OZ Forensics. Aug 2025 - Apr 2026

```text
Worked on face presentation-attack detection for an identity-verification platform handling 100M+ verifications per month. Designed and trained an original lightweight LSTM-based model, benchmarked with ONNX Runtime and TensorRT, and built threshold-aware evaluation tooling.
```

Skills: Antispoofing, LSTM, ONNX-Runtime, TensorRT, FP16-INT8-Quantization, GCP, Weights-Biases, FFMPEG, FAR, Operating-Point-Analysis

### Junior Computer Vision Engineer

BTS Digital. Sep 2024 - Aug 2025

```text
Built the team's first synthetic training-data generation pipeline with ComfyUI and developed face presentation-attack detection models, tracking metrics under ISO/IEC 30107-3. Also built a domain-specific RAG system using LangChain and vector search.
```

Skills: Synthetic-Data-Generation, ComfyUI, Antispoofing, APCER, BPCER, Acer, RAG, Lang-Chain, Vector-Search, Deep-Seek

### Data Engineer

Adata. Apr 2024 - Sep 2024

```text
Developed ETL pipelines with Talend and Python, refactored Java/Python processing bottlenecks, and implemented pandas-based data cleansing and validation.
```

Skills: ETL, Talend, Python, Java, Pandas, Data-Cleaning, Data-Validation

## Education

### Kazakh-British Technical University

Master of Science, Data Science. 2025 - Present. Grade: 3.67 / 4.00

```text
Pursuing a Master of Science in Data Science with an expected graduation in June 2027. Current GPA is 3.67 out of 4.00.
```

### Kazakh-British Technical University

Bachelor of Science, Computer Information Systems. 2021 - 2025. Grade: 3.46 / 4.00

Activities and societies: Minors: Machine Learning; Data Science

```text
Earned a Bachelor of Science in Computer Information Systems with a GPA of 3.46 out of 4.00. Minored in Machine Learning and Data Science.
```

## Tech stack

- Talend
- Kubernetes
- Pandas
- OpenCV
- FFMPEG
- Python
- Java
- TensorFlow
- PyTorch
- scikit-learn
- Keras
- Linux
- gRPC
- Git
- Docker
- SQL
- LangChain
- Weights & Biases
- NVIDIA Triton Inference Server
- ONNX Runtime
- ComfyUI
- AWS

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

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