Open to IT Engineer Apprenticeshipsβ€’Bayreuth, Deutschland

Hi, I'm ClifordNdonwie Nchotie

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Years Experience

Aspiring Lead Engineer specializing in low-latency, high-throughput backend architecture and end-to-end AI pipelines.
I build scalable, reliable systems that connect mission-critical infrastructure with RAG/LLM automation.

cliford@portfolio:~
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About Me

Driven by continuous improvement and a passion for solving complex problems

Cliford Ndonwie Nchotie

Cliford Ndonwie Nchotie

Full-Stack Developer & AI Specialist

Bayreuth, Germany

My Philosophy

I am never satisfied with my goals, and I am always fighting to improve. I never stop learning and love reaching new heights. I am an optimistic and faithful believer that for every problem, there is always a solution. I live by the principle that setbacks are merely setups for a stronger comeback. My journey has taught me that with hard work and a clear vision, any goal is within reach.

Core Values

🧘
Daily Meditation
20 min mindfulness
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Running
1 hour daily
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Exercise
Half-day workouts
πŸ“š
Continuous Learning
Never stop improving

Featured Projects

Production-grade systems solving real business problems with AI and enterprise architecture

AI/ML
Betta Health Oncology

Betta Health Oncology

International Medical & AI-Assisted Telemedicine Platform

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Challenge

Global oncology teams have no secure, compliant platform to manage international telemedicine cases. Manual case intake, scattered document handling, and unstructured patient data slow down critical workflows and create compliance risks.

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Solution

Designed and shipped a full end-to-end oncology telemedicine platform: Case Intake β†’ Stripe Payment Gating β†’ Specialist Assignment β†’ Interdisciplinary Tumor Board β†’ Branded PDF Reporting. LLM-based extraction of structured oncology data (TNM staging, histology), automated document classification, granular RBAC (Patient/Doctor/CMO/Admin), patient consent gates, audit logs, and a procurement engine for oncology medications.

Impact

Live client project at bettahealth.consulting β€’ AI-assisted oncology intake & document classification β€’ Secure RBAC & audit logging for medical compliance β€’ End-to-end case management with procurement workflow

Tech Stack

Next.jsTypeScriptSupabaseStripeOpenAI APIGitHub ActionsVercel
AI/ML
EasyHR - AI Recruiting Platform

EasyHR - AI Recruiting Platform

End-to-End Recruiting & Onboarding Automation

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Challenge

Traditional recruiting processes require manual CV screening, skill extraction, and candidate communication, leading to 40+ hours/week wasted by HR teams and qualified candidates being overlooked.

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Solution

Built an AI-powered recruiting workflow that automates CV import, skill extraction, candidate ranking with explainable scoring, ATS pipeline management, and onboarding checklists. Integrated OpenAI/Gemini APIs for HR summaries and interview question generation.

Impact

Automated end-to-end recruiting β€’ AI-powered skill extraction β€’ Explainable candidate scoring β€’ Onboarding automation

Tech Stack

Next.jsTypeScriptFastAPIPythonPostgreSQLRedisCeleryS3OpenAI APIGemini APIDocker
AI/ML
RKA-AI - Knowledge Assistant

RKA-AI - Knowledge Assistant

RAG System with RBAC & Source Citations

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Challenge

Enterprise teams struggle to find information across scattered internal documents. Traditional search fails to provide contextual answers, and security concerns prevent AI adoption due to lack of access control and source transparency.

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Solution

Developed a Retrieval-Augmented Generation (RAG) system with role-based access control (RBAC). Implements document pipeline (PDF/DOCX/HTML), chunking, embeddings, and vector search. Features audit logs, PII redaction, prompt injection defense, and always cites sources.

Impact

RBAC for secure knowledge access β€’ Source citations & snippets β€’ PII redaction & audit logs β€’ Prompt injection defense

Tech Stack

Next.jsTypeScriptSpring BootJavaPostgreSQLpgvectorRedisS3OpenAI APIGemini APIDocker
Fullstack
UrlaubPilot - Smart Holiday Planner

UrlaubPilot - Smart Holiday Planner

Trip Planning with AI Itineraries & Video Recaps

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Challenge

Planning multi-destination trips is time-consuming, requiring hours of research across platforms. Travelers also lack tools to create shareable trip recaps for social media in vertical video formats (Reels/TikTok).

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Solution

Created a full-stack travel planner that aggregates prices, scores optimal travel windows, generates AI-powered itineraries with recommendations and price alerts. Includes asynchronous video rendering pipeline using FFmpeg to create vertical recap videos from trip media.

Impact

Price aggregation & scoring β€’ AI itinerary generation β€’ Vertical video recap studio β€’ Async rendering pipeline

Tech Stack

Next.jsTypeScriptSpring BootJavaPostgreSQLRedisRabbitMQS3FFmpegDocker

Tech Arsenal

Production-tested technologies for building enterprise-grade AI systems

TS
Frontend

TypeScript

2 years experience
95%
β˜•
Backend

Java

2 years experience
90%
🐍
AI/ML

Python

2 years experience
90%
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Backend

Spring Boot

2 years experience
90%
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Backend

FastAPI

1 year experience
95%
🐘
Database

PostgreSQL

2 years experience
85%
🐳
DevOps

Docker

1 year experience
85%
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AI/ML

OpenAI API

1 year experience
95%
βš›οΈ
Frontend

React/Next.js

2 years experience
90%
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Database

Redis

1 year experience
80%
#️⃣
Backend

C#/.NET

1 year experience
75%
Also experienced with:Angular, Django, RabbitMQ, AWS, Power BI

Professional Experience

Building enterprise systems and solving complex technical challenges

Arvato Systems GmbH

Werkstudent – IT Engineer (TenneT TSO)

01/2024 – 12/2025Bayreuth, Germany

Supporting critical IT infrastructure for TenneT, Germany's main electricity transmission system operator.

βœ“Handled 1st/2nd level support requests, resolving 95% of hardware/software issues within SLA for 1,000+ users
βœ“Supported project management: tracking milestones, status reporting, maintaining IT asset data
βœ“Maintained service availability for critical energy grid infrastructure systems
IT SupportProject Management ToolsHardware/Software TroubleshootingSLA Management

In-Reach UG & Co. KG

Werkstudent – Junior Software Developer

03/2023 – 12/2023Hof, Germany

Full-stack development of web and mobile applications for internal and client projects.

βœ“Developed features for web applications in C#/.NET and Xamarin-based mobile app, improving usability for 200+ users
βœ“Collaborated with stakeholders to refine requirements using agile methodologies
βœ“Contributed to code reviews and quality assurance processes
C#.NETXamarinAgile DevelopmentStakeholder Management

UniversitΓ€t Bayreuth

Studentische Hilfskraft – ITS Laptop Support

10/2022 – 10/2024Bayreuth, Germany (Hybrid)

Technical support for university students and staff.

βœ“Resolved 1,000+ hardware/software support requests
βœ“Contributed to ~25% increase in user satisfaction through efficient problem-solving
βœ“Documented common issues and created knowledge base articles
WindowsmacOSLinuxHardware TroubleshootingUser Support

Africa Multiple Cluster of Excellence

Wissenschaftliche Hilfskraft – Research Assistant

01/2023 – 10/2023UniversitΓ€t Bayreuth

Digital humanities project focusing on colonial archives.

βœ“Built project website and digital database for colonial archive research
βœ“Analyzed data patterns using clustering algorithms (K-Means)
βœ“Created dynamic reports and visualizations with Power BI for research teams
PythonData AnalysisPower BIWeb DevelopmentClustering Algorithms

Developer Console

A live glimpse into my development environment

cliford@portfolio:~

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Ready to build the future?

I'm actively seeking an IT Engineer apprenticeship to grow and contribute. Let's discuss how I can add value to your team.