Mobile App Developer & AI Integration Specialist. Available for freelance projects.
bo.niehaus@gmail.com
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Built and deployed 8 apps on both the Apple App Store and Google Play Store. 5+ years of experience as an app developer and tech lead. Graduate of the 7-month Data Science & AI Bootcamp at Le Wagon.
An offline-first iOS app for emergency and crisis preparedness in Europe: first aid, emergency numbers for 20+ countries, offline maps, an encrypted Bluetooth messenger that needs no network, a document vault, and an optional on-device AI assistant.
A free Morse Code trainer for iOS. Learn step-by-step through 20 levels with authentic tones, LED signals, and works completely offline.
An iOS & Android app for documenting traffic incidents by license plate, location and time - with photo and voice evidence, witness search, and contact exchange only when both sides agree.
An interactive database of all "Die drei ???" episodes, featuring 1,977 characters, a Rocky Beach city map, statistics, and visualizations across the entire series.
Capstone project of my app development training. An interactive exercise that helps participants reflect on privilege and social inequality.
A lightweight app that ingests data from Berlin’s assembly authority and shows demonstrations, rallies, political actions, and vigils in a calendar. Active users: 2.3K.
A real-time awareness app that visualizes rocket and infiltration alerts in Israel. It maps affected areas, shows proximity to the user, and sends a notification for each detected attack; people in range often have 15–90 seconds to seek shelter.
A Berlin schools guide for families. Explore clear, accessible information on about 1,400 schools and key education topics.
A film archive that tracks recently deceased actors and shows what percentage of each movie's cast and crew have already passed away. Built with data from Wikidata and TMDB, stored in PostgreSQL.
An interactive dashboard analyzing German police assembly data - visualizing patterns, trends, and statistics across thousands of registered public gatherings.
An American Sign Language trainer with immediate visual feedback - it detects hand landmarks from your webcam and checks your signs in real time.
An iOS & Android awareness app that surfaces the right-extremist vote share at your current location - across federal, state, municipal and European elections. Fully on-device, no backend, history back to 1994.
A Chrome extension that transforms Claude, ChatGPT & Gemini into themed webpages. Built-in 90s theme, plus AI-generated custom themes via JSON prompt. Contributors welcome.
I built a self-hosted AI assistant running around the clock on a low-cost Raspberry Pi. Powered by Claude Code and accessible via Telegram - private, always-on, and fully under your control.
A Telegram bot that scans German supermarket flyers and sends personalized vegan deals twice a week. Users set their postal code to receive discounts with product images and store locations.
Uses Google Cloud Vision to read text and numbers in historical images and launches one-click searches in the Arolsen Archives to accelerate research workflows.
Frontline photo report from Iceland’s 2023 fin-whale season with Hard To Port. Documents activist ship occupations, police response, and the lifting of a temporary ban.
Small Hugging Face Space that classifies American Sign Language letters from webcam input. Built as a quick real-time prototype.
Exports the content of all open editor tabs into one .txt file. Handy for quick sharing or backups without committing to Git (425 Downloads).
Python monitor for Berlin’s assembly-authority API. Detects data changes and posts diffs to a Telegram channel, with backups and Berlin timezone handling (offline rn).
Script that extracts post metadata from #GR4M links and saves to CSV. Reads targets from a text file for lightweight batch archiving.
Design handoff PDF for an app concept helping with gestational diabetes.
Final presentation deck in PDF. Project goals, method, and key outcomes consolidated for review.
Operational media and documentation work aboard the Sea-Watch 3. Visual storytelling and comms under field conditions.
Dockerized Gradio app that fetches TikTok Live audio with yt-dlp, processes it via FFmpeg, and transcribes near-real-time with OpenAI Whisper.
Chrome extension that renders Wikipedia as clean text for distraction-free reading. Adds full-article copy in one go.
Photoessay from assignments during the 2014 Gaza conflict. Scenes of destruction, rescue work, and daily life between shelling and ceasefires.
Notes on detecting silence and track boundaries to split long MP3s. Practical settings and tools for batch workflows.
Python + Telegram bot that polls Doctolib for cancellations and pushes instant alerts. Multi-practice support, deduping, Docker, and a Cloudflare relay.
Relay that ingests documents from paid subscriptions and posts real-time keyword hits into mapped Telegram topics, with state and deduplication.
A lightweight web app to calculate and visualize the moon’s exact position for any location and time. Includes next moonrise, full lunar eclipse (Sept 7, 2025), interactive map, and mobile geolocation support.
I studied Design in Essen (Ruhr-Area, Germany) and Photography and Creative Arts in Edinburgh, Scotland. My passion for photography and storytelling has led me to a career as a photographer/photojournalist, collaborating with various international news agencies (partners: Snapshot-Photography, SZ-Foto, Ullstein, Imago etc).
Technical Skills & App Development: I completed a one-year vocational training in app development. My technical expertise spans native mobile development with Swift (SwiftUI) and Kotlin, as well as Flutter. Since late 2022 I have published four apps on the Apple App Store and Google Play. Most recently, I worked full-time as Tech Lead & Developer on a Flutter app with a Supabase backend and a SvelteKit admin interface, powering multilingual content and ML-powered, embedding-based recommendations via vector search.
In 2024 I expanded my skill set by completing a 7-month Data Science & Artificial Intelligence Bootcamp at Le Wagon. This program provided me with hands-on experience in building and deploying data-driven solutions. Key skills: Python, TensorFlow, scikit-learn, LangChain, RAG, Transformers, Docker, Streamlit, Data Analysis & Visualization, Machine Learning & Deep Learning, MLOps & Deployment.
Personal Traits & Neurodiversity: Beyond my professional skills, I am a nerd with a passion for understanding the inner workings of things. My self-taught expertise and natural talent to hyperfocus on various topics, enable me to immerse myself deeply in complex tasks. My neurodiversity empowered me to continuously improve my approaches to work and life, problem-solving abilities, stress-resistance, high frustration tolerance, creativity and relentless drive. I define myself as non-binary.
Please contact me for any collaboration opportunities – I am available for development assignments and collaborations both domestically and internationally.
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Photojournalism