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06/2022 – PRESENT

Senior Machine Learning Engineer, HealthBird, Miami, FL

  • Developed a recommender system for the insurance platform, focusing on the health insurance sector in the United States.

  • Collaborated with license agent specialists to generate synthetic data for the recommender system.

  • Utilized personal user profiles and variables such as Maximum Out of Pocket, Medicine, clinical charges, and specialized doctor charges to drive decision-making.

  • Incorporated continuous live data from the website to continuously improve the recommender system over time.

  • Took on the responsibility of deployment, monitoring, and development of the application, while effectively communicating and integrating with other engineering teams.

07/2021 – 09/2022

Machine Learning Engineer (Remote) ,Netarus LLC, Norfolk, USA

As the lead Machine Learning Engineer at Netarus LLC, my primary responsibilities revolved around enhancing the company's backend operations. My key focus areas included developing top-tier Object Detection systems and refining Optical Character Recognition algorithms. During my tenure, I was able to drive significant enhancements including:

  • Achieving a 99% accuracy rate for Machine Learning algorithms, thereby improving overall performance.

  • Boosting system efficiency by reducing backend latency.

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2016 - 2017

Machine Learning Engineer ( Freelance ) Fiverr

https://www.fiverr.com/john_alia

As a proficient Machine Learning Expert, my expertise encompasses the realm of Computer Vision, Data Science, and Image Processing. I am committed to providing solutions that drive automation, efficiency, and innovation in businesses. Here are some of the key areas where I can provide value:

  • Designing and developing custom algorithms tailored to your business needs, contributing to automation and enhanced efficiency.

  • From concept to completion, I can build a robust backend architecture specifically for Machine Learning products within your organization, thereby ensuring optimal performance and scalability.

  • Enhancing existing Machine Learning pipelines within your organization by implementing improvements, thus maximizing efficiency and output

Experience

06/2019 – 09/2020

Machine Learning Intern, VC Technologies, Islamabad

I worked on state-of-the-art algorithms in computer vision under the supervision of Dr Syed Saud Naqvi. The work was focused on early skin cancer detection through machine learning algorithms. ISIC 2019 dataset was used. The ensemble approach among the CNN performed best on the ISIC- 2019 Dataset

2017 - 2021

Bachelor of Science in Electrical Computer Engineering

I completed my computer engineering degree at COMSATS University in Islamabad, where I gained advanced mathematical skills in areas like probability theory, calculus, algebra, and differential equations. These mathematical abilities are crucial for problem-solving in engineering and computer science. I also developed proficiency in programming languages such as Python and C++, including firmware microcontroller programming, allowing me to adapt to various programming paradigms.

My final year project, "Hand Pose Actuation," involved cutting-edge deep learning techniques and diverse filter utilization to achieve innovative results. I specialized in machine learning throughout my degree, gaining expertise in practical applications. This educational journey has equipped me with a unique blend of mathematical acumen, programming proficiency, and research skills, making me a valuable asset in the fields of electrical computer engineering and machine learning. You can explore my research in Github :

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https://github.com/ALI7861111

Education

Skills and Expertise

  • Machine Learning | Deep Learning | Natural Language Processing | Data Mining | 
  • MLOps | Image Processing / Computer Vision | 
  • Segmentation, Classification, Regression, Detection and Localization
  • Generative AI | Langchain| Lamini | Diffusion Models
  • Supervised Learning | Unsupervised Learning | Feature Engineering
  • AWS Cloud Engineer
  • Python| Flask| Django| Jupyter Notebook
  • AWS | REST API| Web-Socket Application, SQL| PostgreSQL| NoSQL Database (MongoDB)
  • CI/CD| Gitlab | Docker | online/ Incremental learning
  • Tensorflow | Keras | Pytorch | Numpy
  • Scikit-learn | Optuna
  • Backend Development | API Development
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