Azum SAS
Open to opportunities

Azum S

@azums

Machine Learning Engineer with 6+ years of Python experience

Pakistan

What I'm looking for

Looking for a challenging role that leverages my skills in Machine Learning and Data Science to drive business growth and innovation.

I am a seasoned Machine Learning Engineer with a strong background in computer vision, natural language processing, and software development. With over 6 years of experience in Python, I excel in multi-core and multi-thread processing, and have worked on various projects involving document analysis, video analysis, and recommendation systems.

I have a proven track record of delivering high-quality solutions, and thrive in dynamic environments. My expertise in data analysis, KPI reporting, and predictive modeling enables me to drive advancements in the field of Machine Learning and Deep Learning.

I am committed to growth and committed to contributing to cutting-edge projects, and am ready to take on new challenges in the field of AI and ML.

Experience

Work history, roles, and key accomplishments

RL
Current

AI / ML Lead

RenesisTech LTD.

Sep 2023 - Present (1 year 8 months)

Leading AI and machine learning initiatives, focusing on enhancing user experience through product scoping and creating RAG solutions. Responsible for managing data processes and leading backend development teams.

MQ

Business System Analyst

Mobizinc Via QuantumHub

Apr 2021 - Jan 2022 (9 months)

Worked on cloud migration for a pharmaceutical company, providing data analysis and insights for successful application and database migration.

Education

Degrees, certifications, and relevant coursework

AU

Air University

Master of Science, Computer Science

2017 - 2020

Grade: 3.24 CGPA

Completed Post Graduation with a focus on advanced topics in Computer Science, achieving a CGPA of 3.24. The program included in-depth studies in machine learning, data structures, and software development methodologies.

Air University logoAU

Air University

Bachelor of Science, Computer Science

2012 - 2016

Grade: 3.00 CGPA

Completed Graduation in Computer Science, gaining foundational knowledge in programming, algorithms, and system design, with a CGPA of 3.00.

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