Architecting Scalable
Full-Stack Systems
Backend Engineer specializing in Python ecosystems, Cloud Architecture, and AI integration. Passionate about designing secure, high-throughput systems that solve complex enterprise challenges.
class SoftwareEngineer:
def __init__(self):
self.name = "Giouxel Kasaika"
self.role = "Software Engineer"
self.location = "Meschede, Germany"
self.contact = {
"email": "kasayka1999@gmail.com",
"phone": "+49 170 9345295"
}
def get_summary(self):
"""
Returns professional summary.
"""
return """
Software Engineer with strong expertise in Software Development
(Python, FastAPI, Django, React, Next.js, TypeScript, PostgreSQL, pgvector, Docker, AWS, GitHub Actions) and Cloud Architecture.
Skilled in building scalable SaaS platforms, RAG pipelines,
and modern web applications.
Solid computer science background (B.Sc.) combined with
ongoing advanced training (Masterschool).
"""
def get_goals(self):
return [
"Build secure, scalable full-stack systems",
"Advance in Cloud Architecture & AI Integration",
"Deliver high-quality, maintainable code"
]
# Initialize Profile
me = SoftwareEngineer()
print(me.name) # Output: Giouxel KasaikaThe Journey
Chronological progression of my technical path.
B.Sc. Computer Science
Strong foundation in Computer Science principles.
- • Mastered Algorithms, Data Structures, and C/C++.
- • Gained hands-on experience with SQL and database management.
Software Developer
Applied engineering in a fast-paced environment.
- • Reduced manual fulfillment by 40% via custom WordPress API integration.
- • Boosted CMS page load speed by 25% through frontend optimization.
Software Engineering Training
Immersive program focusing on advanced backend architectures.
- • Building scalable RESTful APIs with FastAPI and Django.
- • Practicing TDD with Pytest and implementing CI/CD pipelines.
- • Gaining deep knowledge in Cloud Deployment and System Design.
Patient Transport Management System
Contributing to a hospital-to-home transportation platform.
- • Developing FastAPI backend with PostgreSQL, SQLAlchemy, and Redis.
- • Built React + TypeScript staff dashboard for job planning and real-time tracking.
- • Managed database migrations with Alembic and maintained CI workflows.
(SaaS) Embeddable AI Chat Widget Platform
Architected a SaaS platform that transforms business documents into intelligent, embeddable AI support agents.
- • Built a multi-tenant RAG pipeline processing PDFs/Docs into vector embeddings (pgvector).
- • Engineered secure, high-performance APIs to power chat widgets on third-party websites.
- • Integrated OCR and LLM providers (OpenAI & Gemini) for context-aware, accurate responses.
Technical Arsenal
Python Ecosystem
Building high-performance backends using FastAPI for async microservices, Django for robust applications, and Flask. Proficient in SQLAlchemy and SQLModel.
AI & Data
RAG pipelines, Vector DBs (pgvector), Embeddings (OpenAI/Gemini). PostgreSQL optimization.
DevOps & Cloud
CI/CD with GitHub Actions. Docker containerization. Deployment on AWS S3, Vercel, and Render.
Frontend Integration
Bridging backend and frontend. Experience with React, TypeScript, and Tailwind CSS. Built dashboards and mobile app support (Flutter/Dart awareness).
EmbedChat.io
A custom-built AI widget platform. I engineered the ability for businesses to integrate trained chatbots in minutes. It demonstrates my capability to build full-stack, user-facing products wrapped around complex AI logic.