Available to hire
I am Kamran Sial, an AI and ML engineer focusing on computer vision, deep learning, and generative AI. I have over eight years of industrial experience at BASF SE, delivering production-ready ML systems for agriculture, life sciences, and enterprise tooling.
I excel in synthetic data generation, MLOps, and scalable AI platforms, and have led end-to-end AI initiatives while mentoring junior engineers and Master’s thesis students. I hold patents on estimating properties of objects from images and on synthetic annotated data generation, and have deployed internal tools like AIStore and CVAT to streamline data science workflows.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Fluent
German
Beginner
Urdu
Fluent
Work Experience
AI / Machine Learning Engineer at BASF SE — AI Innovation Center, Ludwigshafen, Germany
February 1, 2018 - PresentPrincipal AI/ML engineer responsible for designing, training, and deploying production-ready ML systems across agriculture, life sciences, and enterprise tooling. Inventor on patents for estimating object properties from image data and for synthetic annotated data generation. Led development of regression models for plant disease quantification from drone imagery; built object detection and segmentation for larvae counting, herbicide damage assessment, and microscopic blood cell analysis. Implemented scalable data processing for large drone imagery, deployed CVAT with integrated models, and led the AIStore project to automate end-to-end ML workflows. Introduced Stable Diffusion for synthetic image generation and deployed talking-head generation models. Created standardized ML project templates and mentored Master’s thesis students.
Master's Thesis Student at Robert Bosch Corporate Research GmbH, Hildesheim (with TU Dortmund)
November 1, 2016 - May 1, 2017Thesis: 'Understanding the effects of pre-training methods on Deep Neural Networks for Semantic Segmentation.' Investigated how pre-training datasets impact Fully Convolutional Network performance for semantic segmentation.
Intern — Software Development for Mobile Robotics at BSH Hausgeräte GmbH, Munich, Germany
April 1, 2016 - July 1, 2016Developed a Complete Coverage Path Planning (CCPP) solution for a vacuum-cleaner robot on an embedded Linux system; ported and extended navigation software in Python and C++ into ROS; authored Ansible playbooks for automatic provisioning; worked in a distributed Scrum team.
Project Group — Trajectory Planning for Mobile Manipulators at Institut für Roboterforschung, TU Dortmund
October 1, 2015 - February 1, 2016Built a ROS package integrating trajectory planning and control for a 4-DoF arm on a mobile base, using Timed-Elastic-Bands and Model Predictive Control; tested on PhantomX Pincher arm with SLAM-based navigation.
Student Assistant (Hilfswissenschaftler) at Institut für Umformtechnik und Leichtbau, TU Dortmund
April 1, 2015 - September 1, 2015Automated a storage and retrieval system in LabVIEW; developed finite-state controller, GUI, and database backend.
Research & Development Engineer at TARAZ Technologies Pvt. Ltd., Rawalpindi, Pakistan
February 1, 2014 - August 1, 2014Worked on the Intelligent Current Sensor (Intellisens I2) product.
Trainee Engineer at National Radio and Telecommunication Corporation (NRTC), Haripur, Pakistan
August 1, 2012 - April 1, 2013Projects included Platoon Early Warning System (PEWS), Home Automation, Software Defined Jammer.
Education
M.Sc. Automation and Robotics at Technical University of Dortmund (TU Dortmund)
January 11, 2030 - June 30, 2026B.Sc. Mechatronics Engineering at National University of Sciences and Technology (NUST), Islamabad, Pakistan
January 11, 2030 - June 30, 2026Qualifications
Patent: Estimating properties of physical objects from image data using neural networks
January 11, 2030 - June 30, 2026Patent: Synthetic annotated data generation for computer vision models
January 11, 2030 - June 30, 2026Industry Experience
Agriculture & Mining, Life Sciences, Manufacturing, Professional Services, Software & Internet, Media & Entertainment
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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