I am a computer scientist with over a decade of R&D experience in AI-driven applied research for healthcare and telecom diagnostics. I am seeking roles leveraging my expertise to create AI-enabled software solutions for root-cause analysis using sound (cough, breath), signal (ECG), and image (radio environment maps) analysis. My notable AI-based research roles/projects include: 1. Machine Learning Algorithm Developer @ Thermo Fisher Scientific: Worked as a lead intern on the qPCR multiplexing problem, and solved the problem using deep learning. 2. AI4COVID-19: An AI solution for preliminary COVID-19 diagnosis utilizing cough samples. 3. HYDRA: A deep learning-based hybrid solution for diagnosing coverage issues in emerging cellular networks. 4. Coronary Heart Disease Diagnosis: A machine learning framework for diagnosing Myocardial Ischemia using ECG signal analysis. Apart from the research mentioned above, I have over a dozen live web and mobile applications developed using different programming languages including Python, PHP, Java, C#, Flask, HTML CSS (Bootstrap), and JavaScript (jQuery). I am constantly inspired by opportunities to combine machine learning, software application development, and data analytics in the healthcare, telecom, and sports sectors. As someone who values connecting with people from various backgrounds, I believe that AI has the potential to bring innovative solutions to the forefront of various domains. Please connect with me here: riazsajid@gmail.com.