Abdoulaye Balde

Machine Learning Engineer & AI Researcher

Montréal, QC, Canada abdoulahi.pro96@mail.com

Machine Learning Engineer specializing in AI for finance, building end-to-end ML systems, leading applied research, and deploying responsible AI solutions. Recognized in international competitions and publications, with a lasting commitment to responsible AI and social impact. Fluent in English, and French.

Experience

Sanitation Clerk · CTMF (CNRC)

Oct 2023 – Jun 2025

Supported day-to-day operations for a national research facility, ensuring a safe and dependable working environment for high-impact scientific projects.

Data Science Trainer · Orange Digital Center, Guinea

Jan 2023 – Jun 2023

Designed and led applied AI workshops for Orange Guinea staff covering machine learning, NLP, and transformer-based solutions, enabling teams to prototype real-world use cases.

Founder · Deep Learning IndabaX Guinea

Oct 2022 – Present

Coordinate sponsors, speakers, and curriculum for the national AI conference, including hosting a machine learning hackathon focused on local impact projects.

Selected Projects

Multimodal Emotion Detection · Lead

2025 · UQAM

Built an end-to-end pipeline combining CNN-based image processing with BERT text embeddings and added guardrails to tackle responsible AI considerations.

Autoencoder for Dolphin & Shark Classification · Developer

2025

Crafted a convolutional autoencoder to learn shape-sensitive embeddings, boosting SVM accuracy on downstream classification from 79% to 88%.

Credit Card Fraud Detection · Kaggle

2023

Placed in the top 16% (100/641) with a LightGBM-powered workflow and tailored feature engineering for imbalanced tabular data.

Competition Highlights

Publication

An Efficient Approach for Predicting Financial Inclusion

IEEE ICCSEA 2022

Explores oversampling techniques to address class imbalance in financial inclusion datasets. Read the paper.

Education

M.Sc. Computer Science · Université du Québec à Montréal (UQAM)

2024 – Present

Concentration in Machine Learning, Data Science, and MLOps.

B.Tech. Information Technology · Sharda University

2018 – 2022 · GPA: 7.59/10

Certifications

Awards & Leadership

Technical Skills

Languages

Python, SQL, C/C++

ML & DL

PyTorch, TensorFlow, Scikit-learn, LightGBM, Transformers

Tools & Ops

Git, Docker, MLflow, Airflow, Spark, MongoDB

Cloud & Analytics

GCP, AWS (basic), Tableau, Bash, Linux

Languages