About Me
Software Engineer|Applied AI, Agentic Systems & Voice AI
Abdul Moeez
Software Engineer | Applied AI
I build applied AI systems, conversational agents, real-time voice applications, and reliable backend services using Python, FastAPI, cloud infrastructure, and modern AI technologies.
Core Expertise
Applied AI · Agentic Systems · Voice AI
My roots are in full-stack engineering, and I've carried that discipline into building agentic AI systems — autonomous agents, RAG pipelines, and voice-driven assistants that reason, act, and hold up in production. I care about clean architecture and stay close to the fast-moving edge of applied AI.
Let's build something intelligent 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