Souleymane Diallo

Dynamic and results-driven Bilingual IT Support Specialist (Native French, Intermediate-Advanced English) with expertise in network administration, IT support , and troubleshooting across macOS, Windows 10/11, and Linux. Microsoft Azure Certified (AZ-900) with hands-on experience in cloud technologies and a DEC in Information Technology. Skilled in managing Windows 10/11 and Linux environments, providing remote IT support, and resolving technical issues efficiently.

Experienced in Cisco network configuration (routing, switching, HSRP, IPSec tunnels, VLANs, Trunking, STP, EtherChannel, OSPF, EIGRP) and proficient in networking protocols such as TCP/IP, DNS, DHCP, VoIP, WAN, LAN, VPN, and wireless infrastructure with WLC and Access Points. Strong background in data backup/recovery, firewall management, systems optimization, and network automation with Ansible. Familiar with ticketing systems like ServiceNow and Jira, ensuring timely issue resolution and seamless user support.

Proven ability to streamline processes, enhance operational efficiency, and improve user experience through technical solutions. Strong communicator with exceptional team collaboration skills, able to work effectively with colleagues and end-users to implement optimal solutions. Passionate about staying ahead in technology, continuously expanding expertise in cloud computing and network infrastructure. A proactive problem-solver who thrives under pressure, committed to delivering results and contributing to a dynamic IT team.

• Microsoft Azure Fundamentals (AZ-900) – Certified
• AWS Certified Solutions Architect – Associate (In Progress) Final phase, focusing on designing and deploying scalable, highly available, and cost-effective cloud architectures on AWS.
• Cisco CCNA Certification (Final Phase) Finalizing expertise in networking fundamentals, IP addressing, routing, switching and network automation for efficient management and configuration in Cisco environments.

• Networking: Routing, Switching, VLAN, VPN, LAN/WAN, TCP/IP, DNS, DHCP, EIGRP, OSPF, HSRP, IPSec Tunneling, Wireless (WLC, Access Points), VoIP (Dial Peer)
• Cloud Computing: Azure, AWS (knowledge), Cloud Solutions, Cloud Architecture, Virtualization (VMware, Hyper-V), Containerization (Docker)
• Technical Support: On-site and Remote Support (Teams, Remote Desktop), ServiceNow, Jira Ticketing System, Incident Resolution, macOS, Windows 10/11, Linux
• Automation & Scripting: Ansible, Python, Bash, Batch, PowerShell, Task Automation (Windows), Automation in Networking (CCNA-level)
• Security: Firewall Management, NACL Configuration, Network Security, Antivirus Management, MFA Policies
• Troubleshooting: Network Optimization, Performance Tuning, Connectivity Issues, System Diagnostics
• Collaboration: Team Player, Cross-Functional Teams, Perfectionist
• Programming : Python, C#, Java

Available upon request

I- Project I Achievement:

Advanced Drone Control System with Facial Recognition and Real-Time Keyboard Commands (Bilingual French & English)

• Collaborated effectively within a team to develop an innovative drone control system, combining real-time facial recognition and intuitive keyboard-driven commands for seamless operation.
• Led the development of a fully functional drone control interface using Python and OpenCV, which incorporated advanced features such as facial tracking, photo capture, and movement commands.
• Optimized the drone's flight stability and operational efficiency by implementing error correction algorithms that allowed the drone to autonomously adjust its position based on facial location within the frame.
• Demonstrated problem-solving skills by integrating live video streaming and facial detection into the drone's control logic, ensuring smooth operation even under real-time constraints.
• Delivered a comprehensive solution, from the initial connection of the drone to the system’s functionality, culminating in a stable and accurate drone control system tailored for real-world application.

Skills and Technologies Utilized:

• Programming: Python, OpenCV, djitellopy, real-time video streaming.
• Drone Technology: Tello drone control, automated movement and orientation adjustments.
• Facial Recognition: Integration of OpenCV’s Haar Cascade for accurate face detection and tracking.
• User Interaction: Keyboard input handling for real-time drone control (via pynput library).
• Software Development: Error handling, code optimization, and efficient data storage for captured images.

Final Code:

from djitellopy import Tello
import cv2
from pynput import keyboard
from time import strftime, sleep
import os

# Initialize Tello drone instance
tello = Tello()
# Initialize OpenCV's face detector
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')

# Function to connect and check drone battery
def connect_drone():
tello.connect()
battery = tello.get_battery()
print(f"Battery level: {battery}%")
if battery print("Battery level too low for flight.")
return False
return True

# Function to take a picture
def take_picture(img):
timestr = strftime("%Y%m%d-%H%M%S")
image_folder = 'Resource/Images'
if not os.path.exists(image_folder):
os.makedirs(image_folder)
image_file = f"{image_folder}/image_{timestr}.jpg"
cv2.imwrite(image_file, img)
print(f"Captured photo: {image_file}")

# Function to handle key presses
def on_press(key):
try:
if key == keyboard.Key.up:
tello.move_up(30)
elif key == keyboard.Key.down:
tello.move_down(30)
elif key == keyboard.Key.left:
tello.move_left(30)
elif key == keyboard.Key.right:
tello.move_right(30)
elif key.char == 'f': # Move forward
tello.move_forward(30)
elif key.char == 'b': # Move back
tello.move_back(30)
elif key.char == 'm':
tello.rotate_counter_clockwise(30)
elif key.char == 'c':
tello.rotate_clockwise(30)
elif key.char == 'w' and tello.get_height() > 100: # Flip forward, check height
tello.flip_forward()
elif key.char == 'y' and tello.get_height() > 100: # Flip left, check height
tello.flip_left()
elif key.char == 'p':
frame_read = tello.get_frame_read()
img = frame_read.frame
take_picture(img)
elif key.char == 'o':
tello.rotate_clockwise(180) # Rotate 180 degrees
except AttributeError:
pass

# Function to handle key releases
def on_release(key):
if key == keyboard.Key.esc:
# Land the drone and end program when 'ESC' is pressed
tello.land()
tello.end()
return False

# Initialize connection
if connect_drone():
tello.takeoff()
sleep(5)
tello.streamon()
sleep(2)
listener = keyboard.Listener(on_press=on_press, on_release=on_release)
listener.start()

frame_width = 640 # Reduce resolution for better performance
frame_height = 480
while True:
try:
frame_read = tello.get_frame_read()
img = frame_read.frame
if img is None or img.size == 0:
continue
img = cv2.resize(img, (frame_width, frame_height))
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.1, 4)
for (x, y, w, h) in faces:
cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)

face_center_x = x + w // 2
face_center_y = y + h // 2
error_x = face_center_x - frame_width // 2
error_y = face_center_y - frame_height // 2
tolerance = 30

if abs(error_x) > tolerance:
if error_x > 0:
tello.move_right(20)
else:
tello.move_left(20)

if abs(error_y) > tolerance:
if error_y > 0:
tello.move_down(20)
else:
tello.move_up(20)

cv2.imshow("Tello Camera", img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
except Exception as e:
print(f"Error: {e}")
continue

cv2.destroyAllWindows()
listener.stop()
tello.land()
tello.end()

II- Project II Achievement

“Design and Deployment of a Secure and Automated Multisite Network Infrastructure for Collège Boréal”

• In a context where educational institutions must adapt to increasingly complex technological environments, Collège Boréal is undertaking a strategic digital shift through the implementation of a robust, secure, and scalable multisite network infrastructure.
• This project aims to design and deploy an integrated network architecture covering three distinct campuses: Sudbury, which is the main campus, Toronto, a secondary campus already established, and Mississauga, a brand new and expanding site. This networking is based on the creation of segmented VLAN networks, the implementation of critical services (such as DHCP, FTP, Radius, Wi-Fi, and centralized management), and the establishment of secure WAN links allowing for fluid, stable, and protected communication between the sites.
• To ensure a high level of cybersecurity and flow control, Access Control Lists (ACLs) have been configured to filter traffic between VLANs and between different sites. In addition, the campuses are interconnected via a secure network tunnel, reinforced by an IPsec technology implementation, thus guaranteeing the confidentiality, integrity, and authenticity of the transmitted data.
• This project represents the culmination of the skills acquired throughout our college career in networking. It highlights our ability to design, secure, and administer complex network infrastructures, integrating best professional practices to meet the specific needs of a modern multisite organization.

Please find below the links to the project documentation (French Version)

https://1drv.ms/p/c/88f306bbe4afdaca/EfqwT6X5D-NDj35Lle9Y9qQBTV7YZ0DsAGgeTpusKnZ2tg?e=OLOnvW&nav=eyJzSWQiOjI1NiwiY0lkIjo0NjgwMzc4OX0

Project Simulation using Packet Tracer (French Version)

In order to open this file, Packet Tracer must be installed on your device and download the file before opening it

https://monboreal-my.sharepoint.com/:u:/g/personal/300141258_monboreal_ca/ET0tutGswM1HpvO1uFys_T8BsAZqrH-RTEnLg1LsjoxFaA?e=wRYFwO

• Microsoft Azure Fundamentals (AZ-900) – Certified
• AWS Certified Solutions Architect – Associate (In Progress) Final phase, focusing on designing and deploying scalable, highly available, and cost-effective cloud architectures on AWS.
• Cisco CCNA Certification (Final Phase) Finalizing expertise in networking fundamentals, IP addressing, routing, switching and network automation for efficient management and configuration in Cisco environments.