Beschreibung

I'm a full-stack web developer and certified chemical engineer based in Berlin — a combination that is rare and deliberate.

I don't just build pretty interfaces. I build complete systems — from idea to deployed reality. My recent projects include a full-stack social platform with JWT authentication, image processing, real-time feeds, Docker deployment and multilingual support — and a safety-critical fire emergency response chatbot built on real fire engineering principles following DEKRA and NEBOSH standards, deployed on AWS EC2.

What sets me apart:

When clients come from industrial, safety, or engineering domains, I already speak their language. Most developers need weeks of onboarding to understand the problem. I understand it before I write a single line of code.

For everyone else — if you need someone who takes ownership, thinks systematically, and delivers production-ready software without hand-holding — I'm your person.

Currently pursuing a Master's in AI, which means I learn fast and stay ahead of where technology is going.

Stack: React, Node.js, Express, MongoDB, Docker, AWS, REST APIs, React Query, JWT, Python, Django, Rasa

Branchenexpertise

Sprachen

Englisch
Muttersprachlich oder zweisprachig

Arbeitsortpräferenzen

Vor Ort möglich

Berlin (bis zu 50 km)

University Project
Fire Crises Response Assistant
HIGHTECH
Mai 2025 - Dezember 2025 (7 Monate)
Berlin, Deutschland
A domain-specific emergency response assistant built on fire protection and prevention principles following DEKRA and NEBOSH industry standards — not a generic chatbot.

Core design principle: "Emergency response systems should be deterministic rather than probabilistic" — built on Rasa rules instead of stories to ensure consistent, reliable responses in safety-critical situations.

The system models real fire engineering logic using Chemical Engineering principles relevant to fire protection, prevention and mitigation. Rasa NLU handles natural language understanding, with a Django backend, PostgreSQL database, and full Docker Compose setup with separate dev and production environments. Deployed on AWS EC2 behind Nginx with SSL.

Author holds NEBOSH certification in fire safety and chemical engineering.
Machine learning Natural Language Processing Django Rasa JavaScript
SAS Technologies Pvt. Ltd
Full Stack Developer
DIGITALAGENTUREN & IT-CONSULTING
Januar 2020 - Dezember 2024 (4 Jahre und 11 Monate)
Berlin, Deutschland
Refactored and redesigned Cassandra data models to remove reliance on “ALLOW FILTERING”, modifying schemas across 500+ tables while preserving existing application behavior.
Analyzed query patterns across features to prioritize high impact changes and execute schema updates in a phased manner, minimizing production risk.
Designed and implemented user monetization and wallet flow, including logarithmic earnings logic. Stripe-based payments, balance-to-coin conversions, and debit/credit style transaction tracking.
Implemented admin facing dashboards to monitor user earnings, transactions and monetization behavior with clear debit/credit visibility.
Built time based scheduling logic for configurable, randomized UI interactions (daily, weekly, monthly) with enforced spacing and boundary constraints.
Implemented real time features using WebSockets / Socket.IO.
Implemented admin controlled frontend system including dynamic navigation, feature toggles and kill switches to safely manage production behaviors supported by scheduled backend jobs (CRON).
Authored feature-based system documentation covering UI behavior, backend flow and data models.
Currently developing a crisis-response conversational AI chatbot using Rasa, including intent modeling, dialogue flows,
and Docker-based deployment with planned AWS hosting.
React.js Node.js Websocket Cassandra