Individual E-Portfolio  ·  Engineers in Society

Tegar
Wicaksono

Aspiring Mechatronics Engineer

Building at the meeting point of hardware, data and infrastructure, from CAD-to-print prototyping and geospatial automation to enterprise-scale delivery. Aiming for a career in network automation and smart-infrastructure engineering.

TP066268 BEng (Hons) Mechatronics Engineering Asia Pacific University 11/12 PLOs at full attainment
Explore the journey View PLO attainment
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Months on industrial placement at EDOTCO Group Malaysia
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Pages generated by a self-built Python automation pipeline
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Programme Outcomes evaluated against the official APU framework
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Outcomes attained in full at 100% /12
01Self-Introduction

An engineer who reads a problem from several angles at once.

Mechatronics combines mechanical systems, electronics, control theory and software. This mix has trained me to look at a problem from several technical angles instead of only one, and to hold a consistent standard of professionalism throughout my degree: well-documented work, clear communication, and ownership of quality and deadlines.

Those values were tested during a four-month placement as a Future Technology & Network Engineer Intern at EDOTCO Group Malaysia, Asia's first regional integrated telecommunications-infrastructure company. Rotating across the Energy, Network Performance & Future Technologies, and Field Operations teams gave me a full view of the telecommunications-tower lifecycle rather than a single narrow task.

“Professionalism is a consistent standard I keep regardless of who is watching or where I am working.”

Almost every technical skill I used, including GIS software, geospatial Python, CARTO, and automation scripting, was learned through self-directed study rather than formal teaching. That habit of independent, life-long learning is the thread that runs through this portfolio, and the outcome it is designed to evidence.

02Industrial Placement

A journey through the full tower lifecycle.

Five bodies of work at EDOTCO Group Malaysia, from strategy and mechanical R&D to geospatial analysis and enterprise-scale automation.

Strategy · Research

Indonesia NTC market-entry strategy

Studied EDOTCO's corporate objectives, then produced a phased rollout proposal for the Indonesia National Telecommunications Centre, coordinating directly with Indonesian colleagues to understand their operational and regulatory context.

PLO12PLO6
Mechanical R&D

Project Lockdown: battery compartment

Redesigned the site battery compartment to deter equipment theft. Modelled prototype components in Autodesk Fusion 360 and 3D-printed physical parts to test fit and assembly, iterating across several functional-testing rounds.

PLO5PLO8
Geospatial · Data

GIS & environmental-compliance mapping

Taught myself Google Earth Pro, CARTO and QGIS with Python (GeoPandas, Shapely) to map Sri Lankan national parks and forest reserves, analyse footfall datasets, and produce heatmaps of high-traffic zones for network planning.

PLO3PLO7PLO4
Automation · Delivery

17,000-page reporting pipeline

Designed and ran a large Python automation pipeline producing ~17,000 individual site-information reports. Monitored it through unsupervised work-from-home shifts, fixed data edge-cases live, and wrote a user guide so staff could maintain it.

PLO11PLO9PLO3
Innovation

“Ennovate”: AI site-security concept

Proposed and technically scoped an AI-powered site-security system: weighing a computer-vision approach against hardware cost, training-data needs, infrastructure compatibility and staffing, so the idea could move from pitch to funded project.

PLO5PLO12
03SWOT Analysis

An honest read on my Programme Outcome attainment.

Grounded in two evidence bases: the official APU PLO Report Card and my placement at EDOTCO. Each point ties back to a specific Programme Outcome.

Internal · positive

Strengths

  • 11 of 12 PLOs at full attainment. A broad, balanced record.
  • Design-to-prototype (PLO5). Project Lockdown taken from CAD concept to a tested 3D-printed part.
  • Self-taught tooling (PLO3). QGIS, CARTO, GeoPandas beyond the core curriculum.
  • Enterprise-scale delivery (PLO11, PLO9). The 17,000-page pipeline, run unsupervised.
  • Commercial judgement (PLO12). NTC strategy & Ennovate cost scoping.
Internal · to improve

Weaknesses

  • Problem analysis (PLO2) at 83.3%. The only outcome below full attainment.
  • The pipeline was not fully planned upfront; data errors surfaced at runtime and were fixed reactively.
  • Breadth over depth. Wide rotation limited deep specialisation.
  • Design still tends to be refined by iteration rather than fully specified first.
External · positive

Opportunities

  • Convergence of mechatronics, telecom, IoT & geospatial suits network-automation roles.
  • Formal GIS / Python / PM certification to validate self-taught skills.
  • Innovation programmes to practise open-ended problems, directly targeting PLO2.
  • A graduate pathway at EDOTCO or a comparable regional TowerCo.
External · risks

Threats

  • Fast-moving AI & automation tools can outdate specific platform skills.
  • Peers combining software + engineering raise the competitive bar.
  • Over-reliance on CARTO / QGIS / NaPa over engineering fundamentals.
  • Real cost, land-use & regulatory limits can cap ambitious R&D.
04PO Attainment & Evaluation

Mapped to the official APU PLO framework.

Each figure is taken directly from my Year-4 Semester-1 PO Report Card. Hover or tap any outcome for its full description.

Full attainment (100%) Development area (PLO2 · 83.3%)

The one gap, owned honestly

PLO2 (Problem analysis) matches my real experience: I built the pipeline fast, so edge-cases appeared at runtime. My plan is a deliberate framing stage, listing edge-cases and defining data requirements before writing code.

05Continuous Learning

Where a degree stops being enough.

Two industry sessions in July 2026 changed how I think about professional development, and set the path I intend to follow after graduation.

28 July 2026Simulation

Beyond Colorful Contours

Ir. Ts. Mohd Nurul Amin bin Adnan P.Eng (BEM) · P.Tech (MBOT) · 16 years across 6 industries

Finite element results deviate from physical test by up to 30 per cent, and agreement within 5 per cent is considered very good. Accuracy rests on mesh quality, boundary conditions and material data, not on which software you happen to own. A wrongly built model does not fail visibly, it produces a confident and entirely plausible answer.

You never validate your own work in isolation. The engineers to worry about are not the ones who make mistakes, but the ones with no second method to catch them.
30 July 2026Oil & Gas

Lessons from a Reservoir Engineer

Ts. Izwan Adnan Reservoir Engineering Consultant · 20 years across 4 regions

A career spanning PETRONAS, a Venezuelan heavy oil joint venture and a Caspian offshore brownfield, built on a repeatable sequence: characterise, simulate, calibrate, then recommend. Technical depth only becomes valuable once it is converted into something a board or a regulator can act on.

A history match is not proof a model is correct, only that it is not obviously wrong. The useful question is whether the decision would change if it were.

My professional development pathway

Select a stage to see what it involves. The sequence follows the advice given in both sessions.

06Reflection

Three themes carry through my development.

01

Consistent professionalism

The same standard whether I am in an office, coordinating remotely with an overseas team, or working unsupervised from home.

02

Learning by necessity

GIS, geospatial Python and automation were all learned because a real project demanded them, which is proof I can pick up whatever a role needs.

03

Better problem framing

My clearest next step is not more tools, but how I frame and decompose a problem before I start building a solution.

Ready to enter the profession with strong values and a learning mindset.

Open to graduate opportunities in network automation and smart-infrastructure engineering. Let's talk.

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