Open to opportunities

Abubakar Siddiq

@abubakarsiddiq1

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AI engineer and data scientist building end-to-end ML pipelines with MLOps expertise.

Pakistan

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What I'm looking for

I’m seeking a technical role to apply and grow my skills in AI and data-driven systems—building end-to-end ML pipelines, working with MLOps and cloud deployment, and collaborating with cross-functional teams to deliver reliable AI products.

I’m a Data Science graduate from FAST-NUCES with hands-on experience in machine learning, MLOps, and machine-learning cloud deployment. I built end-to-end ML pipelines using Docker, Kubernetes, MLflow, and Apache Airflow, and I’ve worked on time-series forecasting and NLP data pipelines with an AWS-certified skill set.

In my recent roles, I’ve supported enterprise solution delivery by gathering and tracking requirements and coordinating technical timelines, while also building data models and BI-ready outputs using star/snowflake schema design, Tableau dashboards, and complex SQL ETL. From an ML internship and portfolio projects—like an OCR pipeline for Urdu medical prescriptions and a real-time sign language extension—I focus on translating data into reliable, deployed AI systems.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer — Enterprise Solutions

Current

Git Jazz (PMCL)

Mar 2026 - Present (4 months)

Collaborated with cross-functional stakeholders to gather, document, and track enterprise data requirements across concurrent projects. Coordinated technical project timelines and flagged delivery risks to maintain alignment between business and technical teams.

Docker Kubernetes Jenkins DVC MLFlow Airflow Git GitHub Actions SQL MySQL MongoDB Tableau Power BI Apache Spark Kafka

Data Science Consultant Trainee

Convergent Business Technologies

Oct 2025 - Feb 2026 (4 months)

Designed star and snowflake schema data warehouse models in DBeaver, applying dimensional modeling best practices for analytical workloads. Built Tableau dashboards and wrote complex ETL queries in SQL supporting downstream BI reporting across multiple business functions.

DBeaver Data Warehouse Dimensional Models Star Schemas Tableau ETL SQL

Data Science Consultant Trainee

Convergent Graduate Academy

Oct 2025 - Feb 2026 (4 months)

Dimensional Models Star Schemas Tableau ETL SQL DBeaver Data Warehouse

Machine Learning Intern

Data Insight Research Lab

Jun 2023 - Aug 2023 (2 months)

Developed a synthetic dataset of handwritten and printed Urdu medical prescriptions to train an OCR model for digitising clinical documentation. Annotated and structured image datasets using the Ultralytics YOLO platform to prepare labelled training data for the OCR pipeline.

Synthetic Data Ultralytics Data Annotation Computer Vision Datasets

Education

Degrees, certifications, and relevant coursework

FAST-NUCES

Bachelor of Science in Data Science, Data Science

2021 - 2025

Completed a BS in Data Science at FAST-NUCES, graduating in 2025. Gained hands-on experience aligned with machine learning and MLOps during the program.