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Hafiz Hammad Ahmed

FAST · 2025

madahmedofficial@gmail.com

Phone

+923330970437

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GitHub

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Academic

Program

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CGPA

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Year

2025

Education

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Address

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DOB

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Hafiz Hammad Ahmed
+923330970437, hafizham madahmedofficial@gmail.com
Jhangi Syedan, Islamabad.
Linkedln: bttps://www.ljnkedjn.com/jn/hafizhammadabmed/
Visualization, Machine Learning, Computer Vision,
inal Pro 'ect; Eco-Drive - Autonomous Toy-Truck for Smart Waste Collection [Carla, JetsonNano]
eveloped an autonomous toy truck for waste collection using NVIDIA Jetson Nano and PPO, wit h multimodal vision
nputs, to collect trash from smart bins with capacity sensors in a smart city, showcasing eco-friendly waste
ycleGAN Implementation for Person Face Sketches [GANs, Pytorch, Python]:
id CycleGAN implementation to convert sketches to faces.
utomated Hidden Object Games Using Object Detection Models [Pytorch, Faster-RCNN, YOLO]:
eveloped an Object Detection App using Faster-RCNN and YOLOvll on two datasets from Roboflow.
icro-Services App [MLOps, Minikube] :
eployed a microservices app using MLOPs techniques on mini-kube.
mage Processing App[Python, Tkinter] :
Jun 2022 - Aug 2022
orked on a chatbot develo ment usin RASA framework and automation usin selenium.
eadership, Interpersonal Skills, Communication, Quick learning.
ython, SQL, Sci-kit Learn, ETL, HTML, CSS, DeepLearning, GANs, Object Detection, OpenCV,
ransformers, Mat lotlib, Web Sera in , Data Clean in , Data Visualization, P thon, C++
rainings /Certification
ttended a seminar on 'MLOPs Pipeline' by Industry professionals
orked as Lab Demonstrator for Al & DB Lab P thon, P torch, Neural Networks, SQL at FAST Universit Islamabad.
ctivities
nfo and Coordination Officer at Goo le Develo ers Students Club (GDSC) FAST Islamabad.
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Hafiz Hammad Ahmed is a recent graduate from FAST NUCES with practical experience in machine learning, computer vision, and MLOps. He has developed autonomous systems, GANs, and object detection applications using frameworks like PyTorch and TensorFlow, supported by academic lab demonstration experience.

Skills (AI)

["Python", "PyTorch", "Computer Vision", "Machine Learning", "Deep Learning", "MLOps", "Kubernetes", "Minikube", "OpenCV", "GANs", "Object Detection", "YOLO", "Faster-RCNN", "CycleGAN", "SQL", "Data Visualization", "TensorFlow", "Scikit-learn", "C++", "HTML/CSS"]

Status: ai_done

Provenance

Source file: —
Created: 1777724106