Mukhammadali Ibragim

@scnizzeConnected with DSML

ML Engineer | Computer Vision & Edge AI | PyTorch, OpenCV, C/C++ | PhD Student @ Nazarbayev University

Machine learning engineer focused on computer vision and deploying models on real hardware. Currently PhD student at Nazarbayev University in Electrical and computer engineering.

Career

Experience: 1 years

Experience

Firmware Engineer

AG-Dev.kz

Jan 2026 — Present

• Designed the architecture of a hybrid Satellite/LTE tracking system (device, modem, satellite transceiver, GNSS, BLE, server backend) and developed its modules in C/C++. • Built the data pipeline: compact binary message protocol, server-side decoder and ingestion service (Python, HTTP, PostgreSQL) feeding a live map of device positions. • Implemented on-device data processing — a geofencing algorithm and a buffered logger that guarantees no data loss during link outages — and optimized resource usage under jammed or blocked signal, extending battery life. • Work in a team Git workflow

Research Assistant

Nazarbayev University

Sep 2022 — Present

• Designed and trained a CNN regression model (PyTorch) that estimates applied force from camera images of a tactile sensor, reaching localization MAE 4.21 px (best fold), press depth prediction R2 = 0.99 (best fold) on held-out data. • Built the full real-time inference pipeline: image capture, OpenCV preprocessing and model inference. • Created and labelled the dataset (2.6k images) and validated predictions against calibrated reference loads; improved robustness and generalization across lighting and operating conditions. • Presented the work at CACRE 2026 and received Award

Education

PhD in Electrical and Computer Engineering

Nazarbayev University

2026 — 2030