Machine Learning Engineer | Data Scientist
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Machine Learning Engineer with expertise in Python, SQL, Java, and advanced ML frameworks like TensorFlow and PyTorch. Skilled in developing scalable data pipelines, autonomous navigation models, and real-time analytics using AWS, GCP, and Apache Airflow. Passionate about leveraging NLP, computer vision, and generative AI to solve complex problems, with a proven track record of enhancing system efficiency and decision-making accuracy.
I am a skilled Machine Learning Engineer with a strong background in developing and deploying advanced ML models and data pipelines.
Services (August 2024 – Present), I spearheaded machine learning solutions for autonomous rover navigation using ROS2 and AWS, improving processing latency and decision-making accuracy by 15%. Previously, as part of a capstone project (May 2024 – August 2024), I built YOLOv8-based navigation models and optimized training pipelines for urban environment segmentation. As a Data Scientist at Octane Solutions (January 2021 – December 2022), I led end-to-end data pipelines on AWS and GCP, delivering predictive models for brain tumor classification and supply chain optimization, driving operational efficiency and actionable business insights.
I hold an Ontario College Graduate Certificate in Artificial Intelligence and Machine Learning from Humber College (January 2024 – August 2024, GPA: 3.65/4.0), where I honed my expertise in ML frameworks and AI applications. Additionally, I earned an Ontario College Graduate Certificate in Internet of Things and Machine Intelligence from Sheridan College (January 2023 – August 2023, GPA: 3.6/4.0), focusing on IoT and intelligent systems. My foundational education includes a Bachelor of Computer Science and Engineering from Babaria Institute of Technology (August 2018 – May 2022, GPA: 3.38/4.0).
