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Muhammad Moeed Asif

FAST · 2025
Email
asifmoeed2@gmail.com
Phone
+923169906955
LinkedIn
https://www.linkedin.com/in/moeed-asif-Olba11235/
GitHub

Academic

Program
CGPA
Year
2025
Education
Address
DOB

Verbatim text

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Muhammad Moeed Asif
+92-3169906955, asifmoeed2@gmail.com
Grid Road, Dera Ismail Khan
Linkedln: https://www.linkedin.com/in/moeed-asif-Olba11235/
rtificial Intelligence, Generative Al, Natural Language Processing, Deep Learning, Machine
earnin and Software Pro·ect Mana ement & En
urtuba Public School & Colle e Dera Ismail Khan
.Sc Ph sics Chemistr Mathematics
urtuba Public School & Colle e Dera Ismail Khan
atriculation (Physics, Chemistry, Biology,Mathematics)
ro'ects
Final Year Pro"ect: Synthetic Data generation to train Al models [Tensorflow, MERN, Kaggle, Colab]
synthetic data generation product to deal with the data scarcity to train the computer vision models for defect
etection in the textile industry.
rameGen [Python, Tensorflow, Streamlit, ConvLSTM model]:
ngineered an innovative ConvLSTM model for predicting future video frames.Achieve accurate forecasts on over 2000
est videos using the UCF101 action recognition dataset to enhance real time video analytics capabilities.
ureAir Al [Python, Keras, LSTM model, Docker, Prometheus, Grafana]:
onstructed an advanced pollution prediction system using time series analysis and integrated it with Prometheus and
rafana, enabling real-time monitoring and insights that reduced data retrieval time by 40 percent.
laucoma Detection System[Python, Pytorch, CNNs, Streamlit]:
esigned intricate data pipelines that processed over 5000 retinal images, optimizing a CNN-based system for accurate
laucoma classification.
raffic Signs Recognition [Python, Ultralytics-YOLOv8, Tensorflow, Streamlit]:
esigned a state-of-the-art traffic sign recognition model utilizing YOLOv8 alongside Faster R-CNN algorit hms.
nhanced accuracy to identify real-time road signs in varied environmental conditions with precision across diverse
atasets
ate Management System [C#, Window forms,MySQL, Visual Studio]:
esign and Developed a full fledged cafe management system for managing and tracking of products and sales.
lathing Store Management System [Java,Scene Builder,JavaFX,Eclipse,MySQL]:
evelo ed a deskto a
lication for the mana ement of the clothin store.
ndergraduate Demonstration Assistant
ssist students in identifying, debugging, and resolving errors in their code while providing
timal solutions in the Data Structures and Al orithms DSA semester course.
eadership, Interpersonal Skills, Communication.
Sep 2023 - Jan2024
ython, Tensor Flow, PL/SQL, No SQL, Sci-kit Learn, SQL, Django Rest Framework, Java, Natural
an ua e Processin , models fine tunin ,Docker,K8S,Git,Github, DVC,O enCV
enerative Al with LLMS (Deep Learning Al)
oundations of Project Management (Google)
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Muhammad Moeed Asif is a recent graduate with a background in Physics and Mathematics, specializing in Artificial Intelligence and Deep Learning. He has practical experience building computer vision and NLP models through academic projects and holds certifications in Generative AI and Project Management.
Skills (AI)
["Python", "TensorFlow", "PyTorch", "Deep Learning", "Computer Vision", "Natural Language Processing", "Generative AI", "LLMs", "Docker", "Kubernetes", "Git", "SQL", "Django", "Java", "C#"]
Status: ai_done
Provenance
Source file:
Created: 1777724106