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Noumaan Mashood

NUST · 2026

mashood_a@hotmail.com

Phone

923360515307

https://www.linkedin.com/in/noumaan-mashood-b69b03318/

GitHub

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Academic

Program

BSE

CGPA

2.56

Year

2026

Education

BoEE

Address

H#18, ST#12, BLOCK D, CBR TOWN , Islamabad , Pakistan

DOB

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Career

Current role

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Target role

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Skills

Python, MATLAB, Simulink, NumPy, Pandas, Matplotlib, ML libraries, Arduino, Embedded C, Micro-controllers, Edge Devices, Supervised learning, Data preprocessing, Feature engineering, Model evaluation, Computer Vision, Reinforcement Learning, Deep Learning, LLM

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.

Noumaan Mashood
Cell: 923360515307 |  Email: mashood_a@hotmail.com
LinkedIn: https://www.linkedin.com/in/noumaan-mashood-b69b03318/
Address: H#18, ST#12, BLOCK D, CBR TOWN , Islamabad , Pakistan
PROFESSIONAL PROFILE
Motivated graduate with an intrest in intelligent systems , AI , Computer Vision and Control systems alongside experience in solving
problems using engineering tools and combining hardware and software with tools like python , MATLAB , Micro-controllers and
Edge Devices. Eager for oppurtunities to contribute  in innovative Engineering projects and Artificial intelligence
 
 
EDUCATION
BoEE
School of Electrical Engineering and Computer Science , Islamabad , 2.56 (2026)
INTERNSHIP EXPERIENCE
SEECS
01-Jul-2025 - 07-Sep-2025
Drone Flight Stability using Reinforcement Learning The task of internship where to use the concepts of RL to develop a stable ﬂying
drone instead of traditional non linear control systems learning more deeply about subject matters of DL.
FINAL YEAR PROJECT
BAYMAX: Your personal health monitor
Creation of a device (inspired by Baymax from Big Hero 6) that would monitor sick and elderly by video and non invasive methods
using AI techniques and ML models that are ran on an Edge device for privacy of the medical data of the user and also allows to
create alarm if the condition of the patient is critical so the care takers can act accordingly in time, also using a LLM to help interact
with the patient so it can allow requests to be sent to the care-giver The project aligns with SDG 3 and 5 and helps in avoidance of
deaths due to lack of timely treatment and also helps to free up the limited caregivers. In conclusion a device that would ideally
monitor an elderly patient by non invasive methods 24/7 and using privacy measures like using edge devices
TECHNICAL EXPERTISE
Skills and Expertise
Programming & Software MATLAB & Simulink Python (NumPy, Pandas, Matplotlib, basic ML libraries) Arduino (Embedded C)
Machine Learning & AI Supervised learning fundamentals Data preprocessing & feature engineering Model evaluation and
performance metrics Introductory Computer Vision con ...

AI enrichment

Noumaan Mashood is a BSE graduate with a 2.56 CGPA specializing in AI, computer vision, and control systems. He has internship experience in reinforcement learning for drone stability and developed an edge-based health monitoring device for his final year project.

Skills (AI)

["Python", "MATLAB", "Simulink", "Arduino", "Embedded C", "Machine Learning", "Deep Learning", "Reinforcement Learning", "Computer Vision", "Edge Computing", "LLM Integration"]

Status: ai_done

Provenance

Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 123
Created: 1778168427