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I will ai powered real time crypto news classification and automated semantic search
Van Castello
About this gig
Drowning in crypto news? I build AI pipelines that classify, rank, and surface the signals that matter so you spend less time reading and more time acting.
Proven Results:
- Processed 10,000+ daily crypto articles with 91% accuracy for a fintech research team
- Reduced news research time by 70% for an independent crypto trader
- Tracked 15 crypto topics simultaneously via real-time dashboard for a market intelligence startup
What You Get:
- Multi-label crypto news classifier with bullish/bearish/neutral sentiment detection
- Cross-encoder semantic search for precision ranking of relevant articles
- Audio transcription via Whisper for podcast and video news sources
- Automatic topic clustering to group related market events
- Real-time Streamlit dashboard for live monitoring
- Full source code, documented and ready to deploy
Tech Stack: Python, BERT/Transformers, Vector Databases, Whisper, Streamlit
Who This Is For: Crypto traders, fintech teams, and researchers who need structured intelligence from unstructured news at scale.
Get to know Van Castello
Van Castello
Data science
- FromUnited Kingdom
- Member sinceDec 2025
Languages
English
I am a seasoned Backend Developer, Machine Learning & NLP Engineer, and OSINT/Cybersecurity Analyst with multi-year experience building scalable server-side architectures, intelligent data-driven systems, and cyber threat intelligence solutions. My background spans the modern .NET and JavaScript/TypeScript ecosystems, as well as advanced Python-based ML and RAG pipelines, giving me a uniquely versatile profile for complex, cross-disciplinary projects.
My core strength lies in architecting clean, scalable APIs, optimizing data layers, and delivering production-grade machine learning systems—fro
FAQ
What are the setup requirements to run this system?
You need Python 3.8+, a basic server or cloud instance (AWS, GCP, or even a local machine), and a news data source or API. I provide full setup documentation with every delivery.
Do I need machine learning experience to use the system?
No. The system comes fully documented with clear instructions so your team can run and maintain it without deep ML knowledge.
Can the pipeline be connected to my existing data sources?
Yes. The modular architecture supports custom news APIs, RSS feeds, and other data sources with minimal configuration.
Do you provide support after delivery?
Yes. Each package includes a support period where I assist with setup issues, bugs, and minor adjustments to keep the system running smoothly.
Can the system scale as my data volume grows?
Absolutely. The pipeline is built with scalability in mind and can handle increasing news volumes by upgrading the underlying vector database or compute resources.
Is this beginner-friendly or do I need technical knowledge?
Basic Python knowledge is recommended. The code is fully documented and includes a step-by-step setup guide to get you running quickly.
How long does setup take?
Most clients are up and running within 1–2 hours following the provided documentation.
Does it work on Windows, Mac, and Linux?
Yes, the pipeline is fully compatible with all major operating systems.
