← Back to cohort

Rameen Tal'iq

FAST · 2025

rameentariq03@gmail.com

Phone

+9234144595311

—

GitHub

—

Academic

Program

—

CGPA

—

Year

2025

Education

—

Address

—

DOB

—

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.

Rameen Tal'iq
+92 34144595311 rameentariq03@gmail.com
. ~
-
Linkedln: www.linkedin.com/in/rameen-tariq-b8268726a
-
'Education
Bachelor of Science (Artificial Intelligence)
Major:
!Machine Learning, Deep Learning, Data Analytics, Data Visualization, Computer Vision,DDPMs
~spire Group of Colleges, Okara Punjab
F.Sc (Physics, Chemistry, Mathematics)
Kaharian Girls Cadet College Kallar Kahar, Kallar Kahar Punjab
Matriculation (Physics, Chemistry, Biology)
Projects
Final Proiect: Final Year Project: Brain MRI Inpainting for Glioma-Affected Regions
Developing a deep learning-based approach to synthesize healthy brain tissue in MRI scans affected by glioma using
in painting techniques. The project involves training models on 3D brain images to enhance medical imaging analysis.
Technologies Used: Python, PyTorch, Deep Learning, Diffusion Models, MRI Image Processing
Semester Proiects:
•
Multi-label Disease Classification using NLP [Python, NLP]: Built a model to predict multiple diseases based
on symptom descriptions using NLP.
•
PyTorch Model for Sentence-level Multimodal Sentiment Analysis[Python, PyTorch, NLP, Computer
Vision]- Incorporated text, audio, and visual data for improved sentiment classification.
•
Flood Prediction Using Neural Network [Python, TensorF/ow ]: Predicted floods using historical weather
data via deep learning models.
•
GUI for Image Processing Techniques[Python, OpenCV, PyQt] :Designed an interactive GUI for various
image processing methods.
•
Age Prediction Using Audio Data [Python, Librosa, Scikit-Learn ]: Developed a model to predict age from
voice recordings using audio signal processing.
•
Desktop-based Cafe Management System[C#, MySQL] :Created a desktop application for managing cafe
inventory and orders.
Work Experience
Feb 2024 - May 2024
students in Al lab sessions.Demonstrated Al concepts and hands-on techniques for better
learning.
'Skills & Tools
Professional Skills
Leadership, Management, Interpersonal Skills, Communication.
rTechnical Skills
Python, SQL, C++, C#, PyTorch, Scikit-Learn, TensorFlow, Pandas, NumPy, OpenCV, PyQt,
MySQL
'Achievements
Secured scholarship at college level
Trainings I Certification
•
Participated in hands-on Al workshops at FAST NUCES
•
Attended an Al-focused seminar on advanced deep learning techniques
"Activities
Coordinator for FQSS/DeenFest Events at FAST NUCES
Interests
Al in Healthcare, Computer Vision, Deep Learning, Data Science, Basketball, Badminton, Cars
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Rameen Tal'iq is a recent Bachelor of Science graduate in Artificial Intelligence with a focus on machine learning, deep learning, and computer vision. The candidate has practical experience through academic projects involving medical imaging, NLP, and data analytics, along with a brief role as a teaching assistant in an AI lab.

Skills (AI)

["Python", "PyTorch", "TensorFlow", "Deep Learning", "Machine Learning", "Computer Vision", "NLP", "Data Analytics", "SQL", "C++", "C#", "OpenCV", "Scikit-Learn", "Pandas", "NumPy", "Diffusion Models", "Image Processing"]

Status: ai_done

Provenance

Source file: —
Created: 1777724106