About Me
Passionate Full Stack Software Engineer specializing in modern, scalable web applications
Hi, I'm Abdul Moeez, a passionate Full Stack Software Engineer specializing in modern, scalable web applications. I have a strong background in developing high-performance fintech solutions for top companies, leveraging the latest technologies to build robust and efficient systems.
Frontend Expertise
React.js, Next.js, Electron.js, Redux Toolkit, Zustand, TypeScript, HTML, CSS, SASS, Ant Design, and Material UI for web applications.
Backend Development
Node.js, Express.js, Python, Django, FastAPI, Flask, MongoDB, MySQL, PostgreSQL, Docker, AWS, CI/CD, and Terraform for scalable server-side applications.
I am proficient in Git, Webpack, and Babel, and I take pride in delivering clean, high-quality, and bug-free code. With a strong problem-solving mindset and a passion for continuous learning, I stay up to date with the latest technologies and best practices.
Let's build something amazing together! 🚀
My Journey
Work Experience
A timeline of my professional growth and achievements in software development
Working Student – Software Engineer
Key Achievements
- Engineered backend features for Allinga TTS (tts.allinga-plattform.de), a production-grade, GDPR-compliant AI text-to-speech platform deployed across enterprise clients; extended SSML-based speech control (speed, pitch, emphasis, expressiveness) to support 3 languages (DE, EN, FR), contributing to a system achieving <100ms synthesis latency.
- Delivered Allinga Manager (allinga-plattform.de), a full-stack enterprise admin portal streamlining user, permission, and configuration management across multiple client organisations reducing manual onboarding overhead and centralising account control.
- Built and shipped VQE (vqe.allinga-plattform.de), a Voice Quality Evaluation platform with a real-time Voice Conversion API; integrated the full pipeline from ML model inference to REST API exposure, enabling automated speaker style transfer at scale.
- Automated cloud infrastructure provisioning on AWS (ECS Fargate, S3, ECR) using Terraform, eliminating manual deployment steps and ensuring fully reproducible, version-controlled environments.
- Built async FastAPI backend services with robust input validation and ML pipeline integration, improving system reliability and reducing integration friction across internal research teams.
Technologies & Tools
Software Engineer
Key Achievements
- Collaborative 6+ developers, managing comprehensive project documentation, conducting thorough code reviews, and overseeing complete project lifecycles with Jira, Git, and CI/CD pipelines, achieving a 30% improvement in on-time delivery
- Architected and built robust web and mobile applications leveraging React.js, Node.js, TypeScript, Python (Flask, FastAPI), and Django REST Framework, implementing modular architecture that enhanced overall system efficiency by 20%
- Significantly improved application performance through strategic optimization of web load times (30% reduction) and bug reduction (15% decrease) using comprehensive QA processes, Webpack optimization, image compression, browser caching, and Cloudflare CDN integration, achieving 50% faster page loads
- Streamlined deployment processes through Docker containerization and AWS EC2/S3 integration, implementing Infrastructure as Code (IaC) practices that reduced deployment time by 40% and cloud costs by 15%, while enhancing user engagement by 25% through improved UI/UX design
Technologies & Tools
Education
Master's in Artificial Intelligence
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Erlangen, Germany
Apr 2025 - Current
Relevant Coursework:
Bachelor's in Computer Science
Government College University Faisalabad
Bahawalpur, Pakistan
Oct 2018 - Oct 2022
Relevant Coursework:
Honours and Awards
Tech Luminary Award
Enigmatix
Rapid Achievement Award
Enigmatix
Excellence Award
Enigmatix
Support Team Award
Enigmatix
Certificates
Languages
English
C1 (Professional)
German
Basic (A2), currently improving
Urdu
Native