Rizwan Hussain — Software Engineer
As a passionate and driven Machine Learning & Software Engineer, I thrive at the intersection of artificial intelligence, software development, and problem-solving. With a Master’s in Advanced Computer Science (AI) from the University of Manchester and a BTech in Computer Science and Engineering, I have developed expertise in machine learning, deep learning, NLP, and full-stack development. My journey has been fueled by a deep curiosity for leveraging AI to solve complex challenges and build scalable, impactful solutions. My experience spans academic research, software engineering, and AI-based innovation. During my Master’s, I worked on developing an AI-powered audio processing pipeline for podcasts and videos, enhancing noise reduction, equalization, and compression. This project led to significant improvements in audio clarity, with measurable boosts in PESQ and STOI scores. Additionally, I contributed to research on road segmentation using Attention-Enhanced GANs, which played a role in advancing urban planning and navigation technologies. Beyond technical expertise, I thrive in fast-paced, collaborative environments, whether working on cutting-edge AI models, building scalable applications, or optimizing ML workflows. My proficiency with technologies like TensorFlow, Sklearn, Keras, React, AWS, and cloud computing allows me to develop and deploy AI-driven solutions that make a tangible impact. I am always eager to collaborate, innovate, and contribute to solving real-world challenges through machine learning and software engineering. Driven by continuous learning and innovation, I am always open to discussing new opportunities, research collaborations, and tech-driven initiatives. Let’s connect and build the future together!
Stackforce AI infers this person is a Machine Learning and Software Engineering expert in EdTech and AI-driven solutions.
Location: Manchester, United Kingdom
Experience: 4 mos
Skills
- Machine Learning
Career Highlights
- Expert in machine learning and AI-driven solutions.
- Developed award-winning EdTech platform for neurodivergent learners.
- Proficient in full-stack development and cloud technologies.
Work Experience
Canonical
Field Software Engineer (4 mos)
Thiiia
Research Software Engineer (6 mos)
University of Reading
Research Software Engineer (6 mos)
Education
Master of Science - MS at The University of Manchester
Bachelor of Technology - BTech at Vellore Institute of Technology, Vellore
High School at Kennedy High The Global School