Software Engineer|Applied AI, Agentic Systems & Voice AI
Nürnberg, Germany 🇩🇪 4 Years Experience
From an early age, my fascination with programming and computers ignited a lifelong passion. Constantly learning and developing, I strive to make a profound impact through innovative solutions and visionary ideas, shaping the future with my unwavering commitment to technological advancement.
A comprehensive overview of my technical capabilities and tools I work with
Programming Languages
JavaScript
TypeScript
Python
Frontend Development
Next.js
React.js
HTML
CSS
SASS
Ant Design
Material UI
Redux Toolkit
Backend Development
Node.js
Express
Django
FastAPI
Flask
Database Management
MongoDB
PostgreSQL
MySQL
Cloud & DevOps
AWS
Docker
CI/CD
Terraform
Infrastructure as Code
Version Control
Git
GitHub
Data Science & ML
NumPy
Pandas
Matplotlib
Machine Learning
Deep Learning
Computer Vision
PyTorch
scikit-learn
LangChain
FAISS
Testing & QA
Cypress
Selenium
Jest
Quality Assurance
Additional Tools
WebSockets
Firebase
Ubuntu
Jira
Stripe API
WebHooks
LiveKit
Speech & LLM APIs
Soft Skills
Problem Solving
Collaboration
Analytical Skills
Agile Development
Team Leadership
Project Management
About Me
Software Engineer|Applied AI, Agentic Systems & Voice AI
Abdul Moeez
Software Engineer | Applied AI
Nuremberg, Germany
5+ Years Experience
Master's in AI (Current)
I build applied AI systems, conversational agents, real-time voice applications, and reliable backend services using Python, FastAPI, cloud infrastructure, and modern AI technologies.
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
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.
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
Built with a hackathon team, Entdeckr turns a rough weekend-trip idea into a clarified 2–3 day itinerary with an interactive map and Tour Guide audio. Stack: OpenRouter, Convex, Mapbox, and ElevenLabs.
Deep Learning Project
Deep Learning Project
ML Developer
Implemented a custom deep learning framework and completed PyTorch-based image-classification work, applying core neural-network concepts in code.
Woovclub
Fullstack Developer
WoovClub is a digital sports management platform that allows users to register courts for upcoming sports events, participate in existing competitions, book personal coaches/trainers, and share feeds and live stories, similar to Instagram. The platform integrates secure payment processing, real-time notifications, and cloud storage for an optimized user experience.
DefiSport
FrontEnd Developer
As a ReactJS and blockchain developer, I worked on the DefiSport Marketplace - an online platform similar to Opensea, where users can create and sell NFTs. To build this platform, we utilized cutting-edge technologies such as React JS, Web3, Infura Wallet Connect, and others. My role involved contributing to the development of the user interface and integrating the blockchain technology to enable seamless transactions. Overall, it was a challenging and rewarding experience working on this innovative project.