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Aqib Ahmad

FAST · 2020
Email
aqib398@gmail.com
Phone
+923335140766
LinkedIn
GitHub

Academic

Program
BS Computer Science
CGPA
Year
2020
Education
Address
DOB

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Aqib Ahmad
+92-333-5140766, aqib398@gmail.com
Bahria Town Phase 7, Rawalpindi
LinkedIn: linkedin.com/in/aqib-ahmad-052a1a12a
Education
Bachelor of Science (Computer Science)
Major:
Data Science, Deep Learning, Cloud Computing, Web Development
F.G. Sir Syed College, The Mall, Rawalpindi
F.Sc. (Pre-Engineering)
Army Public School (Boys), Ordnance Road, Rawalpindi
Matriculation (Science)
Projects
Final Project:  SPEECH2FACE - Speech Recognition Based on Facial Images  [PyTorch, Python]:
Working on implementing a deep neural network model that learns the correspondence between facial and vocal
features of humans which is used to reconstruct a facial image from just the sound sample. This reconstruction is then
used to match a voice sample to a particular facial image.
Semester Projects:
Synthesizing normalized faces from facial features [PyTorch, Python]:
A deep CNN that generates a front-facing neutral expression face given a face containing any expression or pose.
High Performance DBLP Dataset Parser [Python]:
Designed efficient search algorithms and used hash-maps to answer queries on the large dataset with millions of
rows.
EasyTable [Android, Java]:
Developed an android application for university students that reads weekly timetable, creates schedule, notifies
students before the classes and allows for clash resolution between courses.
Front Facing Neutral Expression Face Dataset [Python, Google Cloud Vision]:
Created 1.5 million front-facing neutral expression images. Utilized VGG v2 face dataset. Reduced from 3million to 8k
front-facing neutral expression images using Google Cloud Vision API. Then by using face morphing as data
augmentation, created 1.5 million entries.
One-Shot Image Recognition [Python, PyTorch]:
Implemented a one-shot image classification network trained on the Omniglot characters dataset.
Work Experience
Teaching Assistant at NUCES, Islamabad
T.A. to the core course of Database Systems taught to 4th semester students.
Jan 2020  -  Apr 2020
Skills & Tools
Professional Skills
Digital Transformation, Technical Report Writing, Communication, Teamwork.
Technical Skills
C, C++, Python, Java, SQL, Assembly, NumPy, Pandas, PyTorch, TensorFlow, Keras, SciPy, scikit-learn,
JavaFX, Android, Hibernate, Apache POI, OpenGL, OpenStack, HTML, CSS, Bootstrap, Javascript, AWS
Achievements
7 consecutive Dean’s List of Honors till present.
Awarded with 3 Gold, 1 Silver and 1 Bronze Medals for outstanding performance in semesters results.
Trainings / Certification
Attended XFlow Seminar Series on Virtualization, SDN, NFV and Cloud Computing at FAST, Islamabad
Activities
Coordinator to the Convener – NaSCon ’19 Executive Council
Head Stand-up Comedy & Mushaira – NaSCon ‘18
Joint Secretary – FAST Computing Society
Interests
Playing and watching cricket, Music, Movies, TV. Travelling and adventures, Video Gaming

AI enrichment

Aqib Ahmad is a Computer Science graduate with a strong academic record, including multiple Dean's List honors and medals. He possesses specialized skills in deep learning, data science, and cloud computing, demonstrated through research-oriented projects involving PyTorch and TensorFlow.
Skills (AI)
["Python", "PyTorch", "TensorFlow", "Deep Learning", "Data Science", "Cloud Computing", "AWS", "Java", "Android Development", "SQL", "C++", "Machine Learning"]
Status: ai_done
Provenance
Source file: page_37.pdf
Created: 1777056958