Qasim Hassan

Qasim Hassan has a diverse and extensive work experience in the field of data engineering, machine learning, and artificial intelligence. QASIM began their career at AISOL - AI SOLUTIONS as a Lead Trainer for Data Science and AI, where they conducted training sessions and workshops on various topics including Python, data science, machine learning, and deep learning.

Qasim then joined The Disrupt Labs as a Machine Learning Engineer, where they were responsible for designing ML systems, selecting appropriate datasets, and implementing ML algorithms and tools. QASIM also conducted research and ran machine learning tests to improve models.

After that, Qasim worked at Omdena as a Project Lead and Machine Learning Engineer. As a Project Lead, they initiated an effort to address the technology gap in Pakistan and organized workshops on topics such as streamlit, computer vision, TensorFlow, and exploratory data analysis. QASIM also led a project focused on reducing energy crises in Pakistan using machine learning.

During their time as a Machine Learning Engineer at Omdena, Qasim contributed as an open source contributor and worked with a team of 48+ members from different countries. QASIM successfully solved energy crisis problems using machine learning.

Qasim then joined Amazon Web Services (AWS) as an AWS Student Ambassador PK and AWS Community Builder. In these roles, they demonstrated leadership skills by leading and coaching a group of students and building a strong community. QASIM also organized interview sessions and workshops within the university.

Currently, Qasim is working as a Jr Data Engineer at Royal Cyber Inc. QASIM is involved in industry-based multi-stack proof-of-concept projects using various technologies such as Databricks, MLflow, Amazon S3, Amazon VPC, Amazon CloudFormation, Flask, HTML, and Scikit learn. QASIM also follows agile methodologies like Scrum in a team environment.

Overall, Qasim Hassan's work experience showcases their expertise in data engineering, machine learning, and AI, as well as their ability to lead projects, train teams, and foster strong communities.

Qasim Hassan began their education journey in 2018 when they enrolled at Bahria University. QASIM pursued a Bachelor's degree in Computer Engineering and completed this program in 2022. In 2021, while still studying at Bahria University, Qasim also attended Saylani Mass IT Training (SMIT) and acquired a diploma in Data Science & Artificial Intelligence.

Qasim has also obtained various certifications to enhance their skills. In 2019, they completed the "AI For Everyone" course offered by Coursera. The following year, they achieved certifications in Machine Learning, Deep Learning, and Computer Vision from Udacity. Additionally, they obtained the MTA 98-381 certification in Introduction to Programming using Python from Microsoft.

In 2021, Qasim obtained certifications in Data Visualization from DataCamp and Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning from Coursera. QASIM then continued to expand their knowledge by achieving the DeepLearning.AI TensorFlow Developer certification from DeepLearning.AI in 2022.

Based on the provided information, it can be concluded that Qasim Hassan has focused on developing their skills in the fields of Computer Engineering, Artificial Intelligence, Data Science, and Machine Learning by pursuing formal education and obtaining relevant certifications.