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概要
A passionate Machine Learning Engineer specializing in crafting research-based AI solutions for various platforms and companies in Pakistan. With a Master of Philosophy in Artificial Intelligence and a solid CGPA of 3.61 from the Pak-Austria Fachhochschule Institute of Applied Sciences and Technology. My expertise lies in deploying advanced AI models related to machine learning and deep learning domains such as BERT, ROBERTA, Transformers, and GPT from the Hugging Face library, which I seamlessly adapt and deploy on cloud platforms like Heroku and AWS to meet specific project requirements.
Experience in data extraction from NoSQL databases, especially MongoDB, I bridge the gap between data collection and model deployment, contributing to data-driven decision-making. My dedication extends to driving company growth through strategic AI solutions, where I ensure smooth integration of models into production environments by Dockerizing models, packages, and dependencies for optimal performance. My ultimate vision is to leverage AI for positive social impact, addressing real-world challenges. I invite you to connect if you want to explore AI's potential, data-driven strategies, and innovation. Let's collaborate to transform ideas into intelligent solutions!
项目
工作经历
Senior Data Scientist Engineer (One time Project-Based)
Acquire deep knowledge of the company\'s MongoDB database to ensure optimized data processing and integration.
Oversee and execute daily routine tasks efficiently, ensuring all operations align with company protocols.
Develop robust sentimental analysis models using Hugging Face models to enhance data interpretation and predictions.
Design, build, and refine in-house classifiers tailored to the company\'s specific requirements.
Lead the deployment of AI and ML models on both internal company servers and external platforms like Heroku for enhanced scalability and accessibility.
Spearhead the creation of application-based multi-class classifiers, focusing on distinguishing submodalities and modalities with high accuracy.
Collaborate with the development team to ensure seamless deployment of newly created models on platforms such as Heroku.
Actively pursue professional development opportunities, focusing on mastering Docker, AWS, and advanced tools like Hugging Face\'s GPT models.
Work collaboratively with cross-functional teams, leveraging data science capabilities to meet and exceed company goals and objectives
Machine Learning Engineer
Meet worldwide clients and solve their issues through application-based projects and technical reports.
Researching & designing machine learning algorithms, selecting appropriate datasets & verifying data quality.
Employing Transfer learning techniques in the training of new deep learning models to conserve resources and boost efficiency.
Optimizing and scaling machine learning solutions to meet growing demands.
Meeting with clients to understand their requirements and troubleshoot any issues related to the application-based projects and technical reports.
Providing technical support and guidance to clients and ensuring that their expectations are met.
Documenting and reporting on project progress and results and providing regular updates to clients and stakeholders.
Continuously learning and staying updated with the latest technologies and trends in the field of machine learning
