Amina.

Amina Batool

Robotics & Embedded Systems Engineer | AI Assistive Tech | Control Systems Specialist

Overview

Electrical Engineer and Robotics specialist with a focus on full-stack IoT and AI-driven assistive technology. Proven track record in developing high-performance embedded systems, including a $200 wearable navigation aid with real-time sensor fusion and a multi-node smart irrigation network. Experienced Head TA for Feedback & Control Systems, leading teams and developing custom educational robotics. Passionate about leveraging Edge AI and Control Systems for social impact.

Lahore, Pakistan

Experience

2026 – May 2026

WORK

Head Teaching Assistant

Feedback & Control Systems Lab at LUMS

Lahore, Pakistan

Guided students across two lab sections through motor control, system modelling, feedback design, sensors, actuators, microcontrollers and embedded robotics implementation. Translated mathematical and engineering concepts into step-by-step practical explanations, connecting system modelling and control theory to working motors, sensors and robots. Managed simultaneous student questions during live labs, triaged hardware and software faults, and coached students through structured debugging involving DC motors, H-bridges, sensor interfacing and control logic. Coordinated laboratory activities across students, instructors and lab teams while supporting assessment, technical documentation and course-related robotics exercises.

•Guided students across two lab sections through motor control, system modelling, feedback design, sensors, actuators, microcontrollers and embedded robotics implementation.

•Translated mathematical and engineering concepts into step-by-step practical explanations, connecting system modelling and control theory to working motors, sensors and robots.

•Managed simultaneous student questions during live labs, triaged hardware and software faults, and coached students through structured debugging involving DC motors, H-bridges, sensor interfacing and control logic.

•Coordinated laboratory activities across students, instructors and lab teams while supporting assessment, technical documentation and course-related robotics exercises.

Key Achievements

→Led a team of 3 TAs to support 34 junior-level Electrical Engineering students across two lab sections, serving as the primary technical escalation point.

→Developed a low-cost ESP32-C3/ESP32-CAM robot platform with live video streaming and wireless control as a sustainable teaching tool for future course offerings.

→Provided 12+ hours of weekly technical mentorship for complex final projects involving inverted pendulums, ball-and-beam systems, and RoboMaster EP Core robotics.

→Standardized lab documentation by preparing and revising manuals for 9 experiments covering PID control, system modeling, and hardware-in-the-loop testing.

→34 students mentored

→3-person TA team led

→12 hours/week project support

MATLABSimulinkPID ControlSystematic DebuggingESP32-CAMRoboMaster EP Core

Jul 2025 – Sep 2025

CONTRACT

Research Grant Recipient

LUMS Students as Co-Researchers Program

Lahore, Pakistan

Awarded a competitive PKR 50,000 grant to develop a wearable posture-monitoring prototype using an ESP32-C3, 9-DOF IMU, rechargeable power electronics and a custom enclosure. Implemented real-time orientation monitoring through embedded sensor acquisition, calibration and roll/pitch/yaw estimation; validated sensing behaviour under controlled movement conditions.

•Awarded a competitive PKR 50,000 grant to develop a wearable posture-monitoring prototype using an ESP32-C3, 9-DOF IMU, rechargeable power electronics and a custom enclosure.

•Implemented real-time orientation monitoring through embedded sensor acquisition, calibration and roll/pitch/yaw estimation; validated sensing behaviour under controlled movement conditions.

Key Achievements

→Awarded a competitive PKR 50,000 grant

ESP32-C39-DOF IMUPower electronicsSensor calibration

Jun 2025 – Aug 2025

WORK

Summer Mentee

Centre for Water Informatics & Technology (WIT) LUMS

Lahore, Pakistan

Developed a project-based smart-irrigation system using ESP32-S3 nodes, ultrasonic sensors, ESP-NOW, GSM/LTE, MQTT, ThingsBoard and command-based valve actuation. Implemented multi-node communication, ultrasonic water-level sensing, cloud telemetry, command-based valve actuation and ThingsBoard RPC control across the device-to-cloud pipeline. Troubleshot sensor readings, wiring, wireless communication, message routing and cloud-to-device command flow through subsystem testing and live hardware validation.

•Developed a project-based smart-irrigation system using ESP32-S3 nodes, ultrasonic sensors, ESP-NOW, GSM/LTE, MQTT, ThingsBoard and command-based valve actuation.

•Implemented multi-node communication, ultrasonic water-level sensing, cloud telemetry, command-based valve actuation and ThingsBoard RPC control across the device-to-cloud pipeline.

•Troubleshot sensor readings, wiring, wireless communication, message routing and cloud-to-device command flow through subsystem testing and live hardware validation.

Key Achievements

→Engineered a multi-node wireless irrigation system across 3 zones, achieving 100m range and 15-30ms local latency using ESP-NOW protocol.

→Optimized a device-to-cloud pipeline with 6-7s round-trip latency for remote RPC commands via GSM/LTE and MQTT.

→Implemented robust fault isolation using TTL tracking and MAC filtering to ensure 100% message routing accuracy across 4 simultaneous nodes.

→100m range tested

→15-30ms local latency

→4 simultaneous nodes managed

ESP32-S3LilyGO T-A7670EESP-NOWGSM/LTEMQTTThingsBoardRPC controlTTL trackingMAC filtering

Project Portfolio

ACADEMIC

Present

Tic-Tac-Toe FPGA Hardware Engine

Implemented a Verilog/SystemVerilog FPGA game engine with FSM-based control, input debouncing, UART communication and VGA output, strengthening digital-logic and hardware-interface fundamentals.

VerilogSystemVerilogFPGAUARTVGA

ACADEMIC

Present

Portable Braille Reader for the Visually Impaired

Developed a portable tactile Braille device using PIC18F46K22 and Arduino microcontrollers, ASCII-to-Braille mapping and solenoid-based electromechanical actuation; demonstrated the working prototype at the LUMS EE Open Day.

PIC18F46K22ArduinoSolenoids

ACADEMIC

Present

Machine Learning: Gender & Age Detection

Trained and deployed CNNs (ResNet34 and ResNet152) in PyTorch. Developed a live demo website using Node.js and React, integrated OpenCV for preprocessing and inference. Applied probabilistic ML for more accurate predictions.

PyTorchResNet34ResNet152Node.jsReactOpenCV

PERSONAL

Present

MS Pac-Man Reinforcement Learning Agent

Developed and trained reinforcement-learning agents using Deep Double Q-Networks with experience replay, target networks, reward shaping, and exploration strategies. Applied ML/RL fundamentals to sequential decision-making, model behavior analysis, and performance improvement through iterative experimentation.

Reinforcement LearningDeep Double Q-NetworksExperience Replay

PERSONAL

Present

AI Powered Semantic Segmentation & Navigation Control System

Developed a Python-based perception and navigation pipeline using PyTorch, OpenCV, DeepLabV3+ and ONNX for traversable-path extraction, obstacle-aware decisions, PID-guided steering and deployment oriented real-time inference.

PythonPyTorchOpenCVDeepLabV3+ONNXPID Control

PERSONAL

Present

AI Based Assistive Navigation Wearable for the Visually Impaired

Team Lead

Led development of a $200 assistive wearable (belt & cap) for visually impaired navigation. Integrated a Raspberry Pi 5 with asynchronous perception pipelines (U-Net, YOLOv8n) and ToF sensor fusion (10-15Hz) for real-time obstacle avoidance and safety-first FSM control. Ranked Top 5 Senior Projects in the LUMS EE batch.

Raspberry Pi 5ESP32ESP32-CAMIMUsToF sensorsComputer VisionPythonUDPI2CU-NetYOLOv8nONNX

Education

Sep 2021 – May 2026

BS Electrical Engineering

Lahore University of Management SciencesSpecialization in Electrical Engineering

Thesis: AI Based Assistive Navigation Wearable for the Visually Impaired

Relevant Coursework

Microcontrollers & InterfacingDigital System DesignFeedback Control SystemsAI for RoboticsMachine Learning & Reinforcement LearningMicroelectronic Design

Societies & Activities

LUMS Music SocietyLUMS Science & Mathematics Society (LSMS)

May 2020

A-Level

Lahore Grammar School Defence Phase 5

Impact & Recognition

Awards

LUMS Students as Co-Researchers Program · 2025

Research Grant (PKR 50,000)

Grant to develop a wearable posture-monitoring prototype

Lahore Grammar School Defence Phase V

Academic Merit Scholarship (100%)

Governance & Advisory

LUMS Science & Mathematics Society (LSMS)2025 – 2025

Media Director

OTHER

Designed and coordinated promotional content for science-focused student activities.

Social Impact & Activities

2021 – 2022

LUMS Music Society

Member & Performer

Performed at university and student-engagement events, including programmes for National Outreach Programme students.

EngagementVOLUNTEER

Instagram / GhostcoreOTHER

Live Music Performance

Perform live music and create original work across vocals and instruments.

ResourceView Session

Vision & Goals

Core Drivers

What are my motivations

Robotics Engineering

Assistive Technology

Computer Vision

Embedded Systems

Social Impact Tech

STEM Education

Skills & Interests

Arduino

TECHNICAL

Python

TECHNICAL

ESP32

TECHNICAL

Linux/Raspberry Pi OS

TECHNICAL

Raspberry Pi 5

TECHNICAL

OpenCV

TECHNICAL

C/C++

TECHNICAL

FL Studios

TOOL

MATLAB

TECHNICAL

PyTorch

TECHNICAL

MQTT

TECHNICAL

ThingsBoard

TOOL

Adobe Premiere Pro

TOOL

Verilog/SystemVerilog

TECHNICAL

Areas of Expertise

Technical Instruction

Public Speaking

Communication

Working across multiple languages, enabling global collaboration and clear technical outreach.

English

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