About Selected Work Skills Experience Education Contact

Open to remote roles · UTC+8

Systems That Stay Up,
Computer Vision That Ships

I'm Hasan Basri, an IT systems administrator in Indonesia. For over a decade I have kept networks, servers and academic information systems running for two organisations at once, including four national-scale government reporting platforms where a missed deadline has real consequences. I am now completing a Master's in Computer Systems, with thesis research comparing CNN backbones for a face-recognition attendance system that runs in production.

Based inSoutheast Sulawesi, Indonesia
Time zoneUTC+8, flexible hours
EducationMSc Computer Systems
ResearchComputer Vision & Deep Learning
Hasan Basri

Hasan Basri

Systems Administrator & CV Engineer

Academic systems & reporting Daily
Networks & infrastructure Daily
Python & deep learning Thesis
Technology educator Since 2017
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> availability: open_to_work

> stack: ["Python", "PyTorch", "Linux", "Networking", "SQL"]

> research: "CNN backbone comparison, face recognition"

> overlap: "Asia-Pacific full day, Europe mornings"

Professional Summary

Why Hire Me

Proven operational reliability, combined with machine learning research I am taking from paper to production.

I look after the part of IT that is not allowed to fail: servers, networks, databases and statutory reporting. At Perumda Air Minum Kolaka Utara, a regional water utility, I run the operational systems and network. At Universitas Muhammadiyah Kolaka Utara I administer the academic information system and own the institution's submissions to four national platforms: PDDikti, SISTER, SINTA and KIP Kuliah. These are the Indonesian government's higher-education data systems, where records must reconcile exactly and deadlines are fixed by the ministry.

Over the last few years I have moved deliberately toward computer vision and deep learning. My thesis compares several CNN backbone architectures for a face-recognition attendance system: I collected the dataset myself under real lighting conditions, trained and benchmarked the models, and measured both accuracy and inference time on the hardware actually available on site.

That combination is the reason I am worth talking to. I am not a researcher who stops at a notebook, and not an administrator who is uncomfortable with code. I think about deployment, database integration, access control and who maintains the thing in two years, because those are already my job.

New technology is only useful if somebody can keep it running every day without drama.

What I bring

  • Accountability for compliance data with immovable government deadlines
  • Independent incident handling, from diagnosis to root cause to fix
  • Clear written documentation, and patience explaining it to non-technical users
  • Computer vision research validated against a real operational problem
  • Comfortable working asynchronously across time zones
2Organisations supported in parallel
4National reporting platforms owned
UTC+8Overlaps APAC and EU mornings
2026MSc Computer Systems

Evidence

Selected Work

Things I have built or run, rather than adjectives about myself.

Face Recognition Attendance

Master's thesis · 2025 to 2026

A CNN-based attendance system for a regional water utility, replacing manual sign-in sheets. I built the dataset from scratch across varied lighting and camera angles, benchmarked multiple backbone architectures for the accuracy and inference-speed trade-off, and wired the chosen model into the attendance database with handling for undetected faces.

PythonPyTorchOpenCVCNN
Code on GitHub

Academic Data Operations

Ongoing · Universitas Muhammadiyah Kolaka Utara

I own the university's reporting into four Indonesian government platforms. That means reconciling student, lecturer and course records across systems that disagree with each other, designing consistent naming and coding schemes so records match, and correcting historical data before each semester's submission window closes.

PDDiktiSISTERMySQLData Integrity

Internal government systems, not publicly linkable.

Technology Education Channel

Since 2017 · YouTube and Facebook

I produce short technical explainers on AI tooling, digital productivity and computer fundamentals for an Indonesian audience. It keeps me current, and it is the reason I can explain a system design to someone who does not share my background, which turns out to matter more in distributed teams than any individual tool on my CV.

Technical WritingVideoTeaching
Watch the channel

Capabilities

Skills & Tooling

Grouped by the work they belong to, not scored as percentages, so you can match them against a role.

Computer Vision

Research and implementation

Face recognition, image preprocessing, dataset collection and augmentation, training and comparing CNN architectures, and evaluating models against latency budgets.

PyTorchOpenCVCNNTransfer Learning

Python & Data

Primary language

Automation scripts for data processing, dataset manipulation, analysis of experiment results, and integration with institutional databases.

PythonPandasNumPyMatplotlib

Information Systems & Databases

Operational ownership

Academic data lifecycle management, statutory reporting pipelines, data migration, and reconciliation across systems that do not agree.

MySQLPDDiktiSISTERSQL

Networking & Infrastructure

Day-to-day operations

Router and switch configuration, network segmentation, on-premise server maintenance, service monitoring, and incident response.

LAN/WANMikroTikLinuxWindows Server

Technical Support & Hardware

End-user and device

Operating system deployment and recovery, BIOS and storage controller configuration, hardware diagnosis and repair across a mixed fleet.

WindowsBIOS/UEFIHardware Repair

Web & Front-end

Institutional sites

Responsive interfaces built without framework overhead, institutional website administration, page performance work, and technical SEO.

HTML5CSS3JavaScriptTechnical SEO
Everyday tooling
VS CodeGit & GitHubJupyter Google ColabLinux CLIFigma

Track Record

Experience

Current Perumda Air Minum Kolaka Utara

Systems & Network Administrator

Regional water utility, Kolaka Utara, Indonesia

  • Own the network and server infrastructure that keeps internal operations running.
  • Handle user support, device maintenance, and service recovery during incidents.
  • Designed and deployed the face-recognition attendance system that forms my thesis research.
NetworkingServer OpsComputer Vision
Current Universitas Muhammadiyah Kolaka Utara

Academic Information Systems Administrator

Operator for PDDikti, SISTER, SINTA and KIP Kuliah

  • Run the national academic data reporting cycle, accountable for accuracy and ministry deadlines.
  • Administer the university website alongside internal computing and network infrastructure.
  • Designed naming and coding schemes that keep academic records consistent across systems.
  • Train and support lecturers and staff on the institution's systems.
PDDiktiSISTERWeb AdminData Integrity
Research 2025 to 2026

CNN Backbone Comparison for Face-Recognition Attendance

Master's thesis, Computer Systems

  • Collected an original face dataset across varied lighting conditions and capture angles.
  • Trained and compared CNN backbone architectures to find the accuracy versus inference-speed balance.
  • Evaluated on accuracy, precision, recall and wall-clock latency on the deployment hardware.
PyTorchDataset DesignModel Evaluation
Since 2017 Independent

Technology Content Creator

YouTube and Facebook

Producing educational content on AI tools, digital productivity and computing fundamentals. The practice of compressing a technical idea into something a stranger can follow transfers directly to documentation and cross-functional communication.

View channel

Qualifications

Education

Postgraduate

MSc, Computer Systems

Universitas Handayani Makassar

Expected completion 2026
Research focus
Deep LearningComputer VisionFace Recognition
Undergraduate

BSc, Information Systems

Universitas Terbuka

Graduated 2024
Core coursework

Systems analysis, database management, and IT infrastructure governance.

Dicoding certification, 2024 Diploma 3, IPB University, 2003

How I Work

From Field Problem to Running System

A short walk-through of the process I follow, from defining the problem through to handing over something the team can maintain without me.

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> engineer: Hasan Basri

> case: face-recognition employee attendance

Contact

Let's Talk

Open to full-time roles, contract work and research collaboration. I usually reply within 24 hours on working days.

Emailloading…
WhatsApp+62 811-4036-827 Codegithub.com/basriyoung Technical content@basriyoung

Based in Indonesia on UTC+8. That is a full working-day overlap with Singapore, Hong Kong, Perth and Manila, and a comfortable morning overlap with Europe. Open to remote, hybrid and on-site arrangements.

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