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.

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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

Projects

Production-grade systems solving real business problems

AI/ML

Betta Health Oncology

International Medical & AI-Assisted Telemedicine Platform

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

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.

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.

Next.jsTypeScriptSupabaseStripeOpenAI APIGitHub ActionsVercel
AI/ML

EasyHR - AI Recruiting Platform

End-to-End Recruiting & Onboarding Automation

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

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.

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.

Next.jsTypeScriptFastAPIPythonPostgreSQLRedisCeleryS3OpenAI APIGemini APIDocker
AI/ML

RKA-AI - Knowledge Assistant

RAG System with RBAC & Source Citations

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

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.

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.

Next.jsTypeScriptSpring BootJavaPostgreSQLpgvectorRedisS3OpenAI APIGemini APIDocker
Fullstack

UrlaubPilot - Smart Holiday Planner

Trip Planning with AI Itineraries & Video Recaps

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

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).

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.

Next.jsTypeScriptSpring BootJavaPostgreSQLRedisRabbitMQS3FFmpegDocker

Skills

TypeScript2yReact / Next.js2yJava2ySpring Boot2yPython2yFastAPI1yPostgreSQL2yRedis1yDocker1yOpenAI API1yC# / .NET1y

Also experienced with Angular, Django, RabbitMQ, AWS, Power BI, Xamarin

Certificates

Certificate Title

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Month Year

coming soon

Certificate Title

Issuing Organization

Month Year

coming soon

Certificate Title

Issuing Organization

Month Year

coming soon

Experience

Arvato Systems GmbH

01/2024 – 12/2025

Werkstudent – IT Engineer (TenneT TSO)

Bayreuth, Germany

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

In-Reach UG & Co. KG

03/2023 – 12/2023

Werkstudent – Junior Software Developer

Hof, Germany

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

UniversitΓ€t Bayreuth

10/2022 – 10/2024

Studentische Hilfskraft – ITS Laptop Support

Bayreuth, Germany (Hybrid)

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

Africa Multiple Cluster of Excellence

01/2023 – 10/2023

Wissenschaftliche Hilfskraft – Research Assistant

UniversitΓ€t Bayreuth

  • Built project website and digital database for colonial archive research
  • Analyzed data patterns using clustering algorithms (K-Means)
  • 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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Let's build something together

Let's connect and discuss how I can add value to your team.