Full-Stack Software Engineer | AI/LLM Integration | B2B SaaS Specialist

🇩🇪 Germany

Full-stack software engineer with 5+ years of professional experience building production-grade B2B SaaS applications. Specialized in full-stack development, AI/LLM integration, performance optimization, and compliance systems.

I build complete applications from concept to production, with expertise in:

• End-to-end full-stack development
• RAG systems and LLM integration
• Real-time communication systems
• Compliance and security architecture
• DevOps and infrastructure automation
• Performance optimization and scalability

Building complete applications with end-to-end ownership. From database design and API development to frontend implementation and deployment. Experience with modern frameworks and best practices for scalability, security, and performance.

Implementing production-grade AI systems including RAG (Retrieval-Augmented Generation), vector embeddings, semantic search, and LLM-powered workflows. Experience with OpenAI APIs, Ollama, and deploying AI systems at scale.

Achieving significant performance improvements through optimization strategies. Experience includes 30% API response time improvements, 70% frontend rendering improvements, and 60% operational cost reductions through intelligent caching and architecture decisions.

Implementing RBAC (Role-Based Access Control), GDPR compliance, EUDR systems, CSRD implementation, and secure data handling. Building systems that meet enterprise security and regulatory requirements.

Building low-latency, real-time applications using WebSockets, event-driven architecture, and background job processing. Experience with systems handling concurrent connections and real-time data processing. Implemented live notification systems with WebSocket-based delivery and real-time user presence/active status tracking for multi-user environments.

Designing scalable multi-tenant systems with authentication, subscription management, usage tracking, and enterprise features. Understanding of business requirements and building systems that scale with customer growth.

Languages: Python, TypeScript, JavaScript, SQL, Go

Frontend: React, Next.js, Tailwind CSS, Material UI, Redux, Shadcn/UI

Backend: FastAPI, NestJS, Node.js, Express, Django REST Framework

Databases: PostgreSQL, MariaDB, SQLite, MongoDB, Elasticsearch, OpenSearch

AI & Search: OpenSearch, Pinecone, LlamaIndex, Ollama, OpenAI, Replicate, Sentence Transformers

DevOps: Docker, Docker Compose, Kubernetes, Nomad, GitHub Actions, GitLab CI/CD, Terraform

Cloud: AWS (S3, Glue, Athena, Lambda), Azure, GCP

Testing: Pytest, Selenium, Jest, React Testing Library

Tools: Git, GraphQL, WebSockets, Prisma, DBeaver

AI-powered document Q&A system

A full-stack RAG application demonstrating end-to-end AI integration in production. Users can upload documents and query them using natural language, receiving accurate answers with source citations.

Tech Stack: FastAPI, Next.js, OpenSearch, Ollama, SQLite, Docker

Key Features:

• Hybrid semantic/lexical search combining BM25 and embeddings
• Streaming responses for real-time feedback
• Privacy-first LLM inference
• Multi-channel access (web, bot integration)
• Dark/light theme support

Performance: 95%+ accuracy, <5s response time

What it demonstrates: Full-stack development, RAG systems, real-time streaming, production deployment, AI integration

View on GitHub

Production-ready SaaS platform with integrated AI tools

A complete SaaS application demonstrating full business stack implementation. Includes multiple AI-powered features, subscription management, usage tracking, and customer portal integration.

Tech Stack: Next.js, OpenAI, Replicate, Stripe, Clerk, Prisma, MySQL

AI Capabilities:

• Natural language chat (GPT-3.5-turbo)
• Code assistance with markdown focus
• Image generation (DALL-E)
• Music generation (Riffusion)
• Video generation (Zeroscope)

Business Features:

• Stripe subscription management
• Clerk authentication and user management
• Usage tracking with free tier limits
• Customer portal integration
• Multi-tier pricing

What it demonstrates: SaaS architecture, payment processing, authentication, AI integration, scalable design, business logic

View on GitHub

Multi-tenant systems, role-based access control, subscription management, usage analytics, enterprise features, and scalability for growing customer bases.

GDPR compliance, EUDR (EU Deforestation Regulation), CSRD (Corporate Sustainability Reporting Directive), audit trails, logging, and data protection mechanisms.

WebSocket-based communication, live data processing, hardware-software integration, low-latency requirements, and concurrent connection handling.

ETL pipelines, large dataset handling, data transformation, reporting and analytics, Apache Airflow workflows, and data-driven decision making.

Document processing, data extraction, automated workflows, risk assessment, compliance automation, and intelligent decision support systems.

✅ End-to-end applications — Complete ownership from concept to production deployment

✅ AI-integrated systems — RAG, embeddings, LLM APIs deployed in production

✅ Real-time systems — WebSockets, streaming, low-latency communication

✅ Scalable SaaS — Multi-tenant, subscription-based, enterprise-ready platforms

✅ Compliance systems — GDPR, EUDR, CSRD implementation

✅ High-performance applications — Optimized APIs and fast frontends

✅ Secure systems — RBAC, data protection, audit trails

✅ DevOps infrastructure — Docker, Kubernetes, CI/CD automation

• 📉 Reduced API response times by ~30% through caching and optimization strategies
• 🎨 Improved frontend rendering by ~70% using virtualization techniques
• 💰 Cut operational costs by ~60% through intelligent caching and architecture decisions
• 🔐 Implemented role-based access controls for multi-user enterprise systems
• 🤖 Led AI integration for automated compliance workflows
• 🚀 Built real-time systems handling concurrent connections at scale
• 📡 Implemented WebSocket-based live notifications with real-time user active status tracking
• 📊 Designed ETL pipelines processing large datasets
• 🔄 Migrated legacy systems to modern architectures

• Microsoft Certified: Azure Data Fundamentals
• Microsoft Certified: Azure Fundamentals
• TensorFlow Developer Professional Certificate
• Deep Learning Specialization
• REST APIs with Flask and Python
• Introduction to Data Engineering

• GitHub: github.com/muhammadharis4
• LinkedIn: linkedin.com/in/mharisch4
• Email: muhammad.haris@outlook.de

• Building production AI systems
• Full-stack development
• Performance optimization
• Real-time systems
• Compliance and security
• Open-source contributions
• Scalable architecture design

Feel free to explore my repositories. Interested in discussing technical challenges and interesting projects!