Hassan Mansoor

Academic

Career

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Hassan Mansoor
Cell: 923325560873 |  Email: hassanmansoor1569@gmail.com
LinkedIn: https://www.linkedin.com/in/hassan-mansoor1569/
Address: B2/3, NAVY HEIGHTS, KALAPUL RD , Karachi , Pakistan
PROFESSIONAL PROFILE
I am Hassan Mansoor from Islamabad, Pakistan, a motivated and results-driven Computer Science student at the National University
of Sciences and Technology. I have a strong passion for combining cutting edge technology with practical problem solving,
particularly in areas like computer vision, machine learning, and full stack development.
I have gained hands on experience through internships at Esper Solutions and Nokia, contributing to projects such as 3D modeling
for virtual try-on applications, real-time pose estimation, and automation of telecom engineering workflows. Alongside this, I have
developed creative and multimedia skills through roles in video editing and graphics design, producing high-quality content for
Exputer and the NUST Skill Development Club.
My personal projects, including AI-powered firewalls, chess engines, image enhancement apps, and distributed web applications,
showcase my ability to bridge complex algorithms with real-world applications. I thrive at the intersection of technology and creativity,
and my curiosity, discipline, and love for learning extend into my personal interests in fitness, travel, and cooking.
EDUCATION
BSCS
SEECS , Islamabad , 2.93 (2026)
INTERNSHIP EXPERIENCE
Nokia
07-Jun-2025 - 26-Jul-2026
Automated repetitive engineering workflows using Python scripts, such as network configuration checks, log parsing, and report
generation, reducing manual effort for the team. Assisted in designing and maintaining lightweight data pipelines to aggregate and
process network performance metrics from multiple internal tools, enabling faster decision-making. Performed exploratory data
analysis on network logs to identify trends and potential issues in 2G, 3G, and 4G networks, helping engineers prioritize
troubleshooting tasks. Developed simple dashboards and scripts to monitor the health of telecom nodes, visualize key performance
indicators, and track network uptime and latency. Collaborated with senior engineers to understand Network Planning Operations
(NPO) processes, including capacity planning, fault detection, and optimization of radio access networks. Gained practical exposure
to telecom architecture, workflows, and real world challenges in maintaining large-scale mobile networks, while learning best
practices for documentation and internal knowledge sharing.
Esper Solutions
16-Jun-2025 - 16-Aug-2025
Integrated Photogrammetry based 3D modeling into Virtual Try On Glasses app. • Optimized CNN Models via transfer learning for
video classification on NVIDIA Jetson Nano. • Implemented a pose-aware limb measurement pipeline by combining segmentation
constrained ROI cropping with skeletonization and shortest pathfinding on medial axis for arm length estimation. • Temporally aligned
audio and video streams in real-time video feed with OpenCV - minimizing latency.
FINAL YEAR PROJECT
Cognilink: EEG-Powered Cognitive and Mental Health Assessment
Uses brain signals (EEG) to understand how your brain responds during tasks. Predicts cognitive performance and mental health
traits like ADHD, Conduct Disorder, and general psychiatric vulnerability. Powered by deep learning models that learn patterns
across thousands of participants. Shows which brain regions and time points contributed to predictions using interactive
visualizations. Features dashboards for both users and clinicians to track scores, view EEG plots, and explore insights. Aims to

AI enrichment