MUHAMMAD BILAL ABBASI
Karachi
Summary
Industrial Electronics graduate with strong foundations in automation and intelligent systems. Interested in advancing my knowledge in data-driven technologies and contributing to real-world innovation through research and modern engineering applications.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Management Trainee Officer (MTO)
E&I Depart
Karachi, Sindh, Pakistan
11.2024 - Current
- Performed loop testing at a Waste Heat Recovery (WHR) plant to verify signal integrity and ensure reliable communication between field instruments and control systems.
- Upgraded VFD by configuring parameters through Siemens starters.
- Supported the configuration of real-time monitoring through PLC data streams to track inverter and load behavior.
- Assisted in wiring of DOL, Star-Delta and inverter motors
- Participated in instrumentation maintenance: thermocouples, RTDs, Control Valves and flowmeters using HART communicator.
- Documented motor upgradation to higher-efficiency IE motors and calculated power consumption for payback period analysis.
Education
B.E. - Industrial Electronics Engineering
Institute of Industrial Electronics (NEDUET)
11.2024
A-Levels (GCSE) - undefined
Whales College
06.2020
Skills
- Programming languages: C, C, Python
- Tools: Simatic Step 7, AutoCAD, LabView, WPL Soft, Proteus, Visual Studio Code
- Soft Skills: Problem-Solving, Adaptability, Communication, Time Management
Certification
- Internet of Things Course – Neurocomputation Lab, NEDUET
- Data Science Specialization (ongoing) – Coursera
- 3-Day Entrepreneurship Bootcamp
- Seminar on Modern Technologies & Career Pathways
LANGUAGE
Languages: English (C1)
Urdu (Native)
Timeline
Management Trainee Officer (MTO)
E&I Depart
11.2024 - Current
A-Levels (GCSE) - undefined
Whales College
B.E. - Industrial Electronics Engineering
Institute of Industrial Electronics (NEDUET)
ACADEMIC ENGAGEMENT & Research Interests
- Studied research on predictive maintenance using machine learning in industrial plants
- Reviewed IEEE papers on fault detection in inverter systems and control optimization using data analytics.
- Application of machine learning in industrial process optimization
- Intelligent decision-making for automation and control systems
- Anomaly detection and predictive maintenance using sensor data