Maheen Kanwal

Mechatronics Engineering graduate with strong interdisciplinary training at the intersection of robotics, artificial intelligence, embedded systems, automation, and intelligent sensing. My academic and professional trajectory combines wearable robotics, machine learning–based motion analysis, IoT systems, RPA automation, and AI-enabled industrial technologies. I have contributed to research-oriented projects involving gait analysis using RNN-LSTM models, robotic exoskeleton design, sensor-based autonomy, and enterprise-level automation, alongside practical industry exposure in AI-driven technical systems and automation engineering.

ONLINE STEM TUTOR & INSTRUCTOR (REMOTE) at Education Now (UK) | AMIA Academy (2021-01 – Present)

• Delivered STEM, mathematics, and engineering instruction to GCSE/A-Level students.
• Designed interactive problem-solving sessions, concept-building activities, and structured assessments.
• Mentored students in foundational engineering, microcontrollers, and applied physics.

UNDERGRADUATE RESEARCH STUDENT (HEC-FUNDED PROJECT) at Department of Mechatronics Engineering, NUST (2023-10 – 2024-06)

Project: Development of Nanomaterials-Based Tactile Sensors for Tele-Manipulation in Robotic Surgery

• Selected for a competitive undergraduate research role under a national research grant in collaboration with the Scottish Microelectronics Centre, at the University of Edinburgh
• Conducted literature review and baseline analysis of tactile sensing mechanisms, force-feedback systems, and tele-manipulation requirements in robotic surgery.
• Contributed to early-stage design discussions on sensor architecture, material properties, calibration requirements, and signal conditioning.
• Gained exposure to MEMS-based sensor design, nano-material applications, and haptic feedback integration in medical robotics.
• Built foundational understanding of tactile data acquisition, biomechanical response mapping, and sensor-actuator interfacing.

TECHNICAL SUPPORT SPECIALIST (AI & IOT SYSTEMS) at Motive (formerly KeepTruckin) (2025-06 – 2025-08)

• Provided advanced technical support for AI dashcams, ELD systems, and IoT telematics devices used in large-scale fleet operations.
• Analysed device logs and system analytics to identify hardware, firmware, and connectivity issues.
• Collaborated with engineering and QA teams by reporting recurring faults and contributing to data-driven product improvements.
• Assisted clients with installation, configuration, and compliance-critical system usage, ensuring minimal operational downtime.

INTERN ROBOTIC PROCESS AUTOMATION (RPA) at Systems Limited (2024-07 – 2024-10)

• Designed and implemented end-to-end automation workflows using UiPath for enterprise processes.
• Developed adaptive UI automation with validation logic, exception handling, and secure credential management.
• Restructured a data automation process to handle variable inputs and validation dynamically, reducing runtime substantially. This practice was later adopted by the entire team.
• Conducted process analysis, workflow design, bot development, testing, and documentation.
• Reduced manual workload by an estimated 40–60% across assigned processes.

INTERN INDUSTORY 4.0 at Mindstorm Engineering (2023-07 – 2023-08)

• Gained exposure to industrial automation, PLC concepts, SCADA systems, IIoT frameworks, and smart manufacturing architectures.
• Assisted in simulation-based automation workflows and system-level process design.

Bachelor of Engineering in Mechatronics Engineering (EQF Level 6) – National University of Sciences and Technology (NUST), College of E&ME (2020-09 – 2024-07)