Available for work

Abdullah
Bakr

// AI/ML & Deep Learning Engineer

Building real intelligent systems — from convolutional networks to published open-source libraries. 3+ years in Python, 1+ year shipping AI projects that people actually use.

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deepcsv.py ● live

1# pip install deepcsv

2

3from deepcsv import process_file, read_any, clean_values, auto_fix

4

5# ─── process_file() ────────────────────────────

6# Converts string lists → NumPy arrays, fixes mixed types

7process_file("data.csv")

8process_file("data.csv", file_format="parquet")

9

10# ─── process_all_files() ───────────────────────

11# Batch processes entire folder trees recursively

12process_all_files("path/to/folder", file_format="csv")

13

14# ─── read_any() ────────────────────────────────

15# One universal reader — csv, xlsx, json, parquet…

16df = read_any("data/users.csv")

17df = read_any("warehouse/orders.parquet")

18

19# ─── clean_values() ────────────────────────────

20# Cleans nulls, values, types with full control

21clean_values(df, cols=["age", "salary"])

22clean_values(df, finding_type=str, cols=["score"])

23

24# ─── auto_fix() ────────────────────────────────

25# Detects & fixes mixed-type columns automatically

26df = auto_fix("data.csv")

27df = auto_fix(my_dataframe)

28

29# Arrays restored. Types fixed. Done.

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python ≥ 3.7

PyPIPublished

MITLicense

OpenSource

About Me

Building Systems
That Actually Work.

I'm Abdullah Bakr, an AI/ML & Deep Learning Engineer from Egypt. I build real, working intelligent systems — not just notebooks gathering dust on Kaggle.

I've trained convolutional networks reaching ~98% accuracy on image classification, published an open-source data cleaning library DeepCSV on PyPI, and built end-to-end ML regression pipelines — all documented publicly on GitHub and Kaggle.

My foundation is strong: 3+ years with Python, solid mathematical background in linear algebra, calculus, and statistics, and hands-on experience with the full AI stack from data wrangling to model deployment.

Currently open to freelance projects, internships, and full-time roles in AI/ML.

"I write code, train models, and ship things people can actually use."

Core Skills

🐍

Python

Primary language — scripting, ML pipelines, open-source libs

🧠

Deep Learning

Neural networks, CNNs, training loops, regularization

👁️

Computer Vision

Image classification, data augmentation, OpenCV

⚡

TensorFlow / Keras

Model building, custom layers, callbacks, evaluation

🔥

PyTorch

Tensor ops, custom training loops, experimentation

📊

ML / Data Science

Regression, classification, feature engineering, EDA

Projects

What I've Built

Real-world projects across computer vision, machine learning, and open-source tooling.

Computer Vision ~98% Acc

01 / 06

Computer Vision · Deep Learning

Cats vs Dogs Image Classifier

Custom CNN achieving ~98% accuracy on binary image classification. Built with TensorFlow/Keras — data augmentation, dropout regularization, batch normalization, and hyperparameter tuning.

~98% Accuracy TensorFlowKerasCNN

GitHub Kaggle

Open Source PyPI ✓

02 / 06

Open Source · PyPI Package

DeepCSV — Automatic Data Cleaner

Python library published on PyPI. Auto-walks directories, converts stringified lists to NumPy arrays, fixes mixed-type columns, and saves as Parquet — built for real ML data prep.

pip install deepcsv PandasNumPyPyArrow

GitHub Kaggle PyPI

Regression Model ML Pipeline

03 / 06

Regression · Machine Learning

Weather Temperature Predictor

End-to-end regression pipeline predicting weather temperatures from historical meteorological data. Feature engineering, model comparison (Linear, Ridge, RF), cross-validation, full evaluation.

Regression Pipeline Scikit-learnPandasMatplotlib

GitHub Kaggle

Transfer Learning ~92.5% Acc

04 / 06

Computer Vision · Transfer Learning

Intel Image Classification

Multi-class scene classification using Transfer Learning with InceptionV3 on the Intel Image dataset (6 categories: Buildings, Forest, Glacier, Mountain, Sea, Street). Achieved ~92.5% validation accuracy with a frozen pretrained base and custom classification head.

~24K Images TensorFlowInceptionV3Keras

GitHub

Transfer Learning ~93% Acc

05 / 06

Computer Vision · Classification

Garbage Classification (Inception V3)

High-accuracy image classification model for waste sorting using Inception V3 architecture. Classifies garbage into categories (cardboard, glass, metal, paper, plastic, trash) to support automated recycling systems.

~93% Accuracy PyTorchInceptionV3~25K Images

GitHub Kaggle

Medical Imaging 92% Acc

06 / 06

Medical AI · Deep Learning

Breast Cancer Classification (VGG19-BN)

Deep learning model for breast cancer classification using VGG19 with batch normalization on ultrasound images (benign / malignant / normal). Achieved 92% test accuracy with a confusion matrix showing strong generalization.

92% Test Accuracy PyTorchVGG19-BNMedical Imaging

GitHub Kaggle

Education