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Ansab Alam

FAST · 2025

ansab.alam777@gmail.com

Phone

+923365220769

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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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Ansab Alam
+923365220769, ansab.alam777@gmail.com
Chaklala Scheme 3, Rawalpindi
achine Learning, Deep Learning, Reinforcement Learning, Data Analytics, Data Visualization,
LOps, Digital Image Processing, Computer vision and Generative Al.
enchmark School System, Rawalpindi Punjab
-Levels {Physics, Chemistry, Mathematics)
rmy Public School, Rawalpindi Punjab
-Levels {Physics, Chemistry, Mathematics, Computer Science)
Final Pro ·ect: Automated grading of handwritten C++ quizzes[ Machines [Jupyter, Javascript, React, GPT]
evaluates and ensures academic integrity in C++ Programming assessments
esigned Pacman using C++ basic pointer and array structure.
eme Analysis:
Text and Image) through Python using classifiers like KNN, Random Forest etc.
entence level through PyTorch in Python using Neural Networks.
mage Similarity Index:
sed graph based methodology to check similarity between images.
Cisco Packet Tracer:
omputer networks connectivity and network system designed.
ull Stack Development:
mplementing Cl/CD Pipelines for Docker and Kubernetes deployment.
es and RNN for text.
nternship, FFBL, Rawalpindi.
orked as an Internee at the IT department
kills & Tools
uick learner Attention to details.
June 2024 - July 2024
xpertise in Python, PyTorch,Tensor Flow, Sci-kit Learn, Exploratory Data Analysis, Data Structures
nd Algorithms, SQL, MongoDB, React Framework, JavaScript, HTML, CSS,Network programming,
ull stack development( Docker, Jenkins, Kubernetes)
warded with Internship certificate at FFBL
rainings /Certification
ttended training sessions for Excel and SAP at FFBL, Rawalpindi
ompleted trainings for Wordpress and Figma at FFBL, Rawalpindi
ctivities
edia head for Fast Automotive society (2022-2023)
2023-2025
inematic arts( Movies, Series, Anime), Football, 0 en world video ames
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Ansab Alam is a recent graduate from FAST NUCES with a focus on Machine Learning, Deep Learning, and Full Stack Development. He has completed an internship at FFBL and possesses practical experience with Python, PyTorch, React, and DevOps tools like Docker and Kubernetes.

Skills (AI)

["Python", "Machine Learning", "Deep Learning", "PyTorch", "TensorFlow", "Scikit-learn", "React", "JavaScript", "SQL", "MongoDB", "Docker", "Kubernetes", "Jenkins", "Computer Vision", "NLP", "Data Visualization"]

Status: ai_done

Provenance

Source file: —
Created: 1777724106