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Open to computer vision, ML, networking, and telecommunications internships.
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Open to computer vision, ML, networking, and telecommunications internships.

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Nambekai/README.md

Academic engineering composition featuring computer vision, machine learning, electronics, and telecommunications

Figure 1. Engineering interests spanning intelligent vision, learning systems, electronics, and telecommunications.

Professional portrait of Tran Si Nam

Tran Si Nam

Electronics and Telecommunications Engineering Student
Computer Vision | Machine Learning | Computer Networks | Telecommunications

LinkedIn profile Work email Academic email GitHub profile Download the ATS-friendly resume PDF Profile views counter

About

I am a senior undergraduate in Electronics and Telecommunications Engineering at the Faculty of Electronics and Telecommunications, University of Science, Viet Nam National University Ho Chi Minh City (VNUHCM-US). My current work centers on computer vision and machine learning, supported by coursework in computer networks and telecommunications. I value careful experimentation, reproducible results, and clear technical communication.

I defended my undergraduate thesis on August 15, 2026, and I am open to internship opportunities in computer vision, machine learning, computer networks, network communications, and telecommunications.

Profile Details
School VNUHCM-University of Science
Faculty Faculty of Electronics and Telecommunications (FETEL)
Program Electronics and Telecommunications Engineering
Current focus Computer vision and machine learning
Engineering foundation Computer networks and telecommunications
Location Ho Chi Minh City, Vietnam
Time zone Indochina Time, UTC+7 (GMT+7)

Current Direction

  • Apply computer vision and machine learning to practical engineering problems.
  • Strengthen reliable data, experimentation, and model-evaluation workflows.
  • Build deeper expertise in connected systems, networks, and telecommunications.
  • Present technical work with concise documentation and reproducible evidence.

Computer vision focus Machine learning focus Computer networks foundation Telecommunications foundation

Resume

My one-page resume uses a simple, single-column Typst layout designed for applicant tracking systems and internship applications. It includes only confirmed skills, dates, project responsibilities, tools, and clearly attributed quantitative results.

Download Tran Si Nam resume PDF View the resume Typst source Profile quality workflow status

Last updated: August 25, 2026.

Featured Projects

YOLO11 dangerous-person detection thesis project

YOLO11 Dangerous-Person Detection in Public Areas

A responsible computer-vision research prototype that identifies people associated with potentially dangerous objects in public-area imagery. The repository presents the thesis evidence, held-out test results, reproducibility guidance, documented limitations, and versioned research artifacts.

Dataset Instances Selected model Held-out test result
3,140 images 10,595 labeled people YOLO11s mAP50 0.80; mAP50-95 0.64

View the project repository Download the version 1.0.0 research artifacts

This prototype supports human review; it must not be used as proof of identity, intent, guilt, or future behavior.

Vietnamese Automatic License Plate Recognition with YOLO and OCR

Automatic license plate recognition task YOLO and OpenCV computer vision stack FastALPR optical character recognition LAN-based PlateGate demonstration

A seven-person Introduction to Artificial Intelligence course project developed from January through April 2026. The pipeline uses YOLO to localize Vietnamese license plates, FastALPR and fast-plate-ocr to decode cropped plates, normalization for consistent plate strings, and annotated image or video output for a LAN-based whitelist demonstration.

Team My confirmed responsibilities Team-reported validation results Scope
Seven students Dataset and YOLO-label review, data-configuration checks, multi-format FFmpeg and annotated-output testing, and error-case validation Precision 99.45%; recall 99.37%; mAP50 99.45%; mAP50-95 77.01% Academic dataset and LAN prototype

View the Vietnamese ALPR team repository View the Vietnamese ALPR project case study

The original team-repository URL is retained while it is being restored; the case study remains available as the stable reviewer link. The prototype was not validated for production traffic enforcement or unattended access control.

Engineering Method

Animated four-stage engineering workflow: observe, model, validate, and communicate

Figure 2. A disciplined workflow for developing and communicating engineering results.

I approach technical work through four principles: define the problem clearly, select methods deliberately, test claims against evidence, and communicate results so that others can reproduce them.

Contact

Channel Contact
LinkedIn linkedin.com/in/nambekai
Work email nambekai123@gmail.com
Academic email 22207062@student.hcmus.edu.vn
Telephone +84 91 555 1529
Facebook nam.tran.331598

For professional inquiries, email or LinkedIn is preferred. My working time zone is UTC+7 (GMT+7).

Frequently Asked Questions

What areas are you developing?

My primary areas are computer vision and machine learning, with a broader engineering foundation in computer networks and telecommunications.

What kind of work do you value?

I value technically sound work with explicit assumptions, measurable results, reproducible methods, and clear documentation.

What is the best way to make contact?

For professional communication, use LinkedIn or the work email address above. For university matters, use the academic email address.


Engineering with rigor. Learning with purpose. Communicating with clarity.

Popular repositories Loading

  1. dangerous-person-detection-yolo11 dangerous-person-detection-yolo11 Public

    YOLO11 research prototype for detecting people associated with potentially dangerous objects in public-area imagery, with thesis evidence, reproducibility notes, and responsible-use guidance.

    Python 25 6

  2. Nambekai Nambekai Public

    Professional profile and ATS-friendly resume of Tran Si Nam, focused on computer vision, machine learning, networking, and telecommunications.

    Typst