Taha.

Taha Rahim

Electrical Engineer | AI & Predictive Maintenance | Technical Communicator

Overview

Electrical Engineering graduate from NUST with a focus on AI-driven industrial systems and technical communication. Developed a predictive maintenance ML model with 87% accuracy for power substations and gained hands-on experience with high-voltage thermography and HART-based instrumentation calibration at IESCO and FFC. A prolific technical communicator who authored ~300 weekly posts, specializing in simplifying complex engineering concepts for diverse audiences—now transitioning into Robotics and AI training.

Rawalpindi, Pakistan

Experience

WORK

Technical Intern (Thermovision Department)

IESCO – Grid System Operations

Completed an 8-week technical placement working directly with high-voltage control panels. Mentored by senior engineering staff to conduct infrared thermography analysis on critical grid infrastructure.

•Completed an 8-week technical placement working directly with high-voltage control panels.

•Mentored by senior engineering staff to conduct infrared thermography analysis on critical grid infrastructure.

Key Achievements

→Conducted thermography analysis across 3 substations to ensure grid stability and prevent catastrophic failures.

High-voltage control panelsInfrared thermography

WORK

Content Writer

Miracle Solution

Researched and authored engaging content across diverse business niches including car detailing, pressure washing, and house inspection. Specialized in simplifying technical service details for general consumers.

•Researched and authored engaging, easily digestible content across various topics.

•Honed strong written and verbal communication skills, developing the ability to break down complex information for broader, non-technical audiences—a highly transferable skill for teaching STEM to young students.

WORK

Instrumentation Intern

Fauji Fertilizer Company (FFC)

Gained practical exposure to the maintenance of industrial control systems and control valves.

•Used HART devices to calibrate sensors and transmitters.

•Conducted testing of proximity probes to ensure accurate instrumentation readings.

•Gained practical exposure to the maintenance of industrial control systems and control valves.

Key Achievements

→Calibrated industrial sensors and transmitters using HART devices to maintain instrumentation accuracy.

→Tested proximity probes within a large-scale fertilizer plant environment to support maintenance protocols.

HART devicesSensor calibrationTransmitter calibrationProximity probesIndustrial control systemsControl valves

WORK

Content Writer

College Aftermath

Authored content for a wide variety of partner businesses, ranging from automotive services to home inspections. Focused on translating technical specifications into engaging customer-facing copy.

•Researched and authored engaging, easily digestible content across various topics.

Key Achievements

→Authored engaging content across various topics, focusing on simplifying complex information for a general audience.

WORK

Content Writer

QRG Limited

Researched and authored engaging, easily digestible content across various topics. Honed strong written and verbal communication skills, developing the ability to break down complex information for broader, non-technical audiences—a highly transferable skill for teaching STEM to young students.

•Researched and authored engaging, easily digestible content across various topics.

Key Achievements

→Authored ~300 posts weekly, focusing on business engagement by simplifying technical concepts for everyday customer problems.

Project Portfolio

PERSONAL

Present

AI-Driven Process Instrumentation & Fault-Tolerant Control Loop Simulation

Developer

Designed and coded an industrial thermal safety system simulation using Python. Implemented an Isolation Forest Machine Learning model paired with a PID controller to detect anomalies and automate fault tolerance. Hosted the fully functional code and documentation on GitHub.

PythonIsolation ForestMachine LearningPID controller

Code

PERSONAL

Present

ML-Based Predictive Maintenance System for Power Substations (FYP)

Lead Developer

Developed a predictive maintenance system utilizing infrared thermography and Machine Learning to detect potential equipment failures. Successfully exhibited the working model at the university’s open house ceremony, engaging with industry representatives to explain the system's mechanics.

Infrared thermographyMachine Learning

Education

May 2026

Bachelors of Electrical Engineering

Military College of Signals (NUST)Specialization in Electrical Engineering

GPA: 3.49

Thesis: ML-Based Predictive Maintenance System for Power Substations

Impact & Recognition

Professional Certifications

Deep Learning

Generative AI for Everyone

NUST

PCB Designing

Coursera

AI Basic Image Classification

GIKI

WRE (Workshop on Reverse Engineering)

Social Impact & Activities

Oct 2025

University Open House CeremonyOTHER

Open House Exhibition

Exhibited the working model of the ML-Based Predictive Maintenance System and engaged with industry representatives.

Skills & Interests

Python

TECHNICAL

Control Systems

TECHNICAL

Machine Learning

TECHNICAL

AI Simulations

TECHNICAL

Isolation Forest

TECHNICAL

Areas of Expertise

Technical Teaching

Engaging Communication

Simplification of Complex STEM Concepts

Mentorship

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