Aryan Afzal
@aryanafzal
Machine Learning Engineer who deployed models into client-facing products at DeveloperHub Corporation and built a PPE safety monitor with YOLO11n.
PakistanWhat I'm looking for
At DeveloperHub Corporation, I built and deployed ML models into client-facing products, using automated preprocessing pipelines to cut manual data-preparation and evaluation time.
I integrated Python-based ML solutions into web-facing products with Flask and REST APIs. I also built automated reporting dashboards that reduced manual reporting effort by 40%.
At Atomcamp, I fine-tuned supervised models for classification and regression and created Power BI dashboards to make model outputs accessible to non-technical stakeholders. I also built NLP pipelines with TF-IDF and deployed models via Streamlit for interactive demos.
On my PPE Safety Monitor project, I built a construction-site PPE violation detector with YOLO11n and exported the model to ONNX for edge deployment. I’m looking to grow further in AI development and DevOps practices in a fast-paced engineering environment.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer Intern
DeveloperHub Corporation
Jun 2025 - Aug 2025 (2 months)
Built and deployed ML models into client-facing products, cutting manual data-prep and evaluation time through automated preprocessing pipelines. Integrated Python-based ML solutions into web-facing products using Flask and REST APIs, and built automated reporting dashboards that reduced manual reporting effort by 40%.
AI & Data Science Intern
Atomcamp
Feb 2025 - May 2025 (3 months)
Fine-tuned supervised ML models for classification and regression tasks, and designed Power BI dashboards to make model outputs accessible to non-technical stakeholders. Built NLP pipelines with TF-IDF vectorization and deployed models via Streamlit for interactive stakeholder demos.
Education
Degrees, certifications, and relevant coursework
University of Engineering & Technology, Taxila
Bachelor of Science, Computer Science
2022 -
Grade: 3.18/4.0
Pursuing a Bachelor of Science in Computer Science with a CGPA of 3.18/4.0, expected to graduate in August 2026.
Stanford Online
Machine Learning Specialization, Machine Learning
Completed the Machine Learning Specialization offered through Coursera.
FreeCodeCamp
Data Analysis with Python, Data Analysis
Completed the Data Analysis with Python certification.
Coursera
Foundation of AI and Machine Learning, Artificial Intelligence
Completed the Foundation of AI and Machine Learning course.
Availability
Location
PakistanAuthorized to work in
Salary expectations
Social media
Job categories
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