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Faareh Ahmed

NUST · 2026

faarehahmed@gmail.com

Phone

923355112022

https://www.linkedin.com/in/faareh-ahmed/

GitHub

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Academic

Program

Bachelor of Software Engineering

CGPA

3.31

Year

2026

Education

School of Electrical Engineering and Computer Science

Address

HOUSE NO.CB-675, NEAR SADAAT MARKET, AFSHANCOLONY, RAWALPINDI , Rawalpindi , Pakistan

DOB

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Career

Current role

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Target role

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Skills

Machine Learning, Computer Vision, Algorithmic Optimization, Deep Learning, LiDAR technology, 3D point cloud processing, U-NetFormer, Remote sensing, MediaPipe, Docker, FastAPI, Frontend Development, Multi-sensor integration

Interests / quote

Software Engineering student at NUST specializing in Machine Learning & Computer Vision. I apply algorithmic optimization and deep learning to analyze complex multidimensional data for autonomous systems. My experience includes international research as a DAAD Scholar at RPTU Kaiserslautern, expertise in LiDAR technology, and multiple publications in high-impact journals.

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.

Faareh Ahmed
Cell: 923355112022 |  Email: faarehahmed@gmail.com
LinkedIn: https://www.linkedin.com/in/faareh-ahmed/
Address: HOUSE NO.CB-675, NEAR SADAAT MARKET, AFSHANCOLONY, RAWALPINDI , Rawalpindi , Pakistan
PROFESSIONAL PROFILE
Software Engineering student at NUST specializing in Machine Learning & Computer Vision. I apply algorithmic optimization and
deep learning to analyze complex multidimensional data for autonomous systems. My experience includes international research as
a DAAD Scholar at RPTU Kaiserslautern, expertise in LiDAR technology, and multiple publications in high-impact journals.
EDUCATION
Bachelor of Software Engineering
School of Electrical Engineering and Computer Science , Islamabad , 3.31 (2026)
INTERNSHIP EXPERIENCE
Machine Vision and Intelligent Systems Lab
06-Jun-2024 - 25-Jan-2026
Leading LiDAR-based precision agriculture research focusing on 3D point cloud processing. Fine-tuned U-NetFormer for urban green
space segmentation and optimized remote sensing algorithms.
Cowlar Design Studio (YC-W17)
10-Jul-2025 - 10-Sep-2025
Conducted market research and customer interviews with restaurant owners to provide data-driven insights for product strategy.
Collaborated with engineering teams on product launches
Khiladi
01-Jul-2025 - 01-Sep-2025
Engineered 3D human pose estimation models using MediaPipe to analyze cricket bowlers' actions. Optimized video processing
pipelines using Docker and FastAPI for real-time model inference
Oryns Solution
02-Sep-2024 - 03-Jan-2025
Architected the frontend for a full-scale charity and giveaway ecosystem, facilitating user donations and automated reward systems.
Developed an Admin Dashboard within the app to manage organizations, monitor live transactions, and oversee giveaway winner
selection.
Robotics Research Lab, RPTU Kaiserslautern
22-Jul-2024 - 23-Aug-2024
Research stay funded by a DAAD scholarship. Built a LiDAR-based 3D pipeline for high-resolution feature extraction and wheat yield
prediction while practicing multi-sensor integration
FINAL YEAR PROJECT
LiDAR based Plant Phenotyping for Precision Agriculture
Developing a novel UAV-based 3D point cloud generation method using 2D LiDAR, and leading deep learning research for plant
biomass estimation and phenotypic trait extraction.
TECHNICAL EXPERTISE

AI enrichment

Faareh Ahmed is a Bachelor of Software Engineering student specializing in Machine Learning and Computer Vision with research experience in LiDAR technology and 3D point cloud processing. He has completed internships involving deep learning model optimization, frontend architecture, and product strategy, supported by international research as a DAAD Scholar.

Skills (AI)

["Machine Learning", "Computer Vision", "LiDAR", "Deep Learning", "Python", "U-NetFormer", "MediaPipe", "Docker", "FastAPI", "3D Point Cloud Processing", "Frontend Development", "Research"]

Status: ai_done

Provenance

Source file: SEECS - Software Engineering-2026(1).pdf
From job #260 page 31
Created: 1778138736