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Aleesha Waqar

NUST · 2026
Email
rabigulzar78@gmail.com
Phone
923485886156
LinkedIn
https://www.linkedin.com/in/aleesha-waqar-5a6974262/
GitHub

Academic

Program
BE Electrical Engineering
CGPA
3.05
Year
2026
Education
SEECS
Address
Rawalpindi, Pakistan
DOB

Career

Current role
Target role
Skills
IoT, VFD Control, Data Logger, SD card module, REST APIs, ESP 8266, RTC module, Modbus Communication, HTTP protocol, Wi-Fi, Web Interface, C++, Object-Oriented Programming, Software Development Lifecycle, 5G, FREE5GC, UERANSIM, Optical Backhaul, O-RAN, Machine Learning, 4G KPI Data, Streamlit, MPLS QoS, Network Track
Interests / quote
Please update objective section.

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
Aleesha Waqar
Cell: 923485886156 |  Email: rabigulzar78@gmail.com
LinkedIn: https://www.linkedin.com/in/aleesha-waqar-5a6974262/
Address: HOUSE NO 123 C STREET 10 FAISAL COLONY GULZAREQUAID NEAR OLD AIRPORT RAWALPINDI , Rawalpindi , Pakistan
PROFESSIONAL PROFILE
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EDUCATION
BE Electrical Engineering
SEECS , Islamabad , 3.05/4 (2026)
INTERNSHIP EXPERIENCE
Dawlance
22-Jul-2024 - 31-Aug-2024
Prototyped and deployed two projects ”IoT-Driven VFD Control” and ”Data logger with SD card module and REST APIs” at Dawlance
DPL-1 building 7. Data logger with SD card module and REST APIs: Records changes in ambient temperature, humidity, air quality,
and heat index via sensors at regular intervals using ESP 8266, RTC module and store them on SD card and REST API interface
opens the door to monitoring and management of our data logger remotely IoT-Driven VFD Control Framework: An IoT-based control
that enables remote monitoring and management of VFD via Modbus Communication HTTP protocol, with the ability to read and set
parameters from control room. System integrates Wi-Fi and web interface.
AICP, Islamabad Pakistan
01-Nov-2023 - 30-Dec-2023
Applied object-oriented programming principles in C++ to design and implement key features for project. Gained hands-on
experience in the full software development lifecycle, from requirements gathering to testing and deployment.
Optical Networks and Technologies (ONT) Lab, SEECS, Islamabad (Research Assistant)
02-Jun-2025 - 14-Jan-2026
5G Testbed with Optical Backhaul and O-RAN Integration: Deployed a standalone 5G network using FREE5GC and UERANSIM in
virtual machines, interconnected via a 25km physical optical backhaul. Performed various tests to determine network performance
under heavy traffic. ML-Powered Anomaly Detection for Telecom Networks: Designed and deployed a hybrid machine learning
system on 4G KPI data. Engineered a Streamlit application for automated anomaly detection and report generation
CNIT Pisa, Italy and Scuola Superiore Sant’Anna, Pisa, Italy (Research Assistant in collaborative research
project )
01-Sep-2025 - 22-Oct-2026
Collaborative Research: Dynamic URLLC/eMBB QoS Slicing over Optical xHaul for 5G/6G O-RAN Integration. Submitted to OFC
Conference 2026, LA Convention Center, California, USA.
FINAL YEAR PROJECT
Intelligent Resource Allocation in ORAN(open radio access network)
Working on standard aligned MPLS QoS for ORAN xHaul.
TECHNICAL EXPERTISE
Finalist, Huawei National ICT Competition (Network Track)
Secured 20th rank nationwide and won a $200 voucher for the HCIA 5G RAN certification course.

AI enrichment

Aleesha Waqar is a final-year Electrical Engineering student with hands-on experience in IoT, 5G testbeds, and optical networks through internships and research roles. She has demonstrated technical proficiency in C++, embedded systems, and machine learning applications for telecom anomaly detection.
Skills (AI)
["C++", "IoT", "5G Networks", "O-RAN", "Embedded Systems", "Machine Learning", "REST APIs", "Modbus", "Streamlit", "Optical Networks"]
Status: ai_done
Provenance
Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 60
Created: 1778168427