Rizwan Hussain

Software Engineer

Manchester, United Kingdom4 mos experience
AI EnabledAI ML Practitioner

Key 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.
Stackforce AI infers this person is a Machine Learning and Software Engineering expert in EdTech and AI-driven solutions.

Contact

Skills

Core Skills

Machine Learning

Other Skills

Digital Signal ProcessingPythonUnityAmazon Web Services (AWS)Cloud ComputingC#Natural Language Processing (NLP)Computer VisionArtificial Intelligence (AI)DatasetsData StructuresC (Programming Language)Database Management System (DBMS)HTMLC++

About

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!

Experience

4 mos
Total Experience
4 mos
Average Tenure
4 mos
Current Experience

Canonical

Field Software Engineer

Jan 2026Present · 4 mos · London Area, United Kingdom · Remote

Thiiia

Research Software Engineer

Jun 2025Dec 2025 · 6 mos · Remote

  • I've worked on an innovative EdTech project called Ultra Rapid, a music-assisted learning platform developed in Unity to support neurodivergent learners through multi-modal education. This project was awarded the 'Just Imagine If' 2024 grant and is backed by the Department of Computer Science at the University of Reading.
  • My work includes:
  • Developing real-time DSP algorithms using Python (Librosa) and Unity's audio engine to synchronise gameplay with music for beat-matching rhythm mechanics.
  • Training and integrating ML models for automatic beat mapping, adaptive difficulty, and gameplay personalisation based on user data.
Machine LearningDigital Signal Processing

University of reading

Research Software Engineer

Jun 2025Dec 2025 · 6 mos · Reading

Education

The University of Manchester

Master of Science - MS — Artificial Intelligence

Sep 2023Sep 2024

Vellore Institute of Technology, Vellore

Bachelor of Technology - BTech — Computer Science

Jan 2019Jan 2023

Kennedy High The Global School

High School — Science

Jun 2017Jun 2019

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