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Saad Mahboob

FAST · 2023
Email
saadmahboob71@gmail.com
Phone
+923035779212
LinkedIn
https://www.linkedin.com/in/saad-mahboob
GitHub

Academic

Program
CGPA
Year
2023
Education
Address
DOB

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Saad Mahboob
+923035779212, saadmahboob71@gmail.com
i LinkedIn: https://www.linkedin.com/in/saad-mahboob
‘ducation
achelor of Science (Electrical Engineering) | 2023
jajor: ‘Computer Engineering |
HITEC School and College for Men | 2019
F.Sc (Pre-Engineering) |
HITEC School and College for Men | 2017
atric (Science)
rojects
Final Project: Ravi-Bot: Al-based shopping assistant robot
A human interactive shopping assistant robot based on Al that uses multipoint navigation to guide the customer to the desired
section of the shopping store. It also shows recent deals and Ads to the customers.
Semester Projects:
Voice Controlled RoboVehicle (Python, Arduino, SpeechRecognition, Bluetooth Module)
Built a voice controlled robotic vehicle with recognition of four audio commands (left, right, straight, reverse) and
associated motion control.
Human Detector (Python, OpenCV, YoloV5)
Human and pet classification using YoloV5 for real-time CCTV surveillance of homes.
Object Detection (Python, OpenCV, Tensorflow)
Trained a multi-class object detection model using FasterRCNN architecture based on multi-threading.
Drowsiness Detector (Python, OpenCVv)
Used OpenCV to train a model which can be implemented in automobiles to detect sleepiness in drivers.
AVR Microcontroller-based Temperature-responsive Motor Control System:
Utilizes AVR microcontroller technology to create a system for controlling motors in response to temperature changes.
Fitness App (Php, SQL)
Designed a fitness app with a front end written in PHP and SQL that was used to store data and for data queries.
Work Experience
Gained experience in implementing swarm intelligence algorithms, autonomous flight, and Graph
eural Network based frameworks. They have worked on the swarming behavior of UAVs using
X4 Autopilot, developed SwarmGNN for predicting next time steps of a Multi-Agent System, and
achieved 94% accuracy in fake news detection using GNNs.
en Analyst Intern Brainnest (Germany) May 2022-July 2022
learned statistical concepts, including Type | and II errors, power alpha, effect size, and sample size.
earned appropriate statistical tests and perform calculations, such as s-score and t-test. Gained
experience using SPSS to conduct data analysis.
kills & Tools
rofessional Skills eam Work, Team Management.
echnical Skills ++, Android, Java, Linux, MATLAB, ROS, SQL, Arduino, Gazebo, GitHub, Proteus, Python.
Patievements
nscribed in the Dean’s List of Honors
Silver Medalist
Trainings / Certification
achine Learning by Andrew NG (Coursera), Deep Learning Specialization by Andrew NG (5 courses Coursera), Python for ML &
Data Science (Udemy), Python for Everybody(Udemy), Building Leadership Skills (Coursera)
ctivities
jead ‘Robo Race’ in NaSCon’22, Secretary in’ ISWYC’22’, Volunteer at Career Service Office, Member ‘Fast DataScience’
Interests
Cricket, Deep Learning, Robotics, Sports Analytics

AI enrichment

Saad Mahboob is a 2023 Electrical Engineering graduate with a focus on Computer Engineering, possessing hands-on experience in robotics, AI, and data analysis. He has completed internships and academic projects involving swarm intelligence, computer vision, and machine learning, supported by relevant certifications from Coursera and Udemy.
Skills (AI)
["Python", "C++", "Java", "Arduino", "ROS", "OpenCV", "TensorFlow", "PyTorch", "SQL", "PHP", "MATLAB", "Gazebo", "Linux", "GitHub", "Proteus", "Android", "Deep Learning", "Computer Vision", "Robotics", "Swarm Intelligence"]
Status: ai_done
Provenance
Source file:
Created: 1777726223