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Chris Dolton Dsilva@dsilvachris
3
Events attended
1
Submissions made
Germany
2+ years of experience
About me
AI/ML Engineering student in Berlin, building production-style systems — not just coursework. I'm currently pursuing an MSc in Artificial Intelligence (BSBI, in partnership with University for the Creative Arts), with hands-on experience spanning AI product QA, machine learning, and cloud-adjacent data engineering. What I've built: → A multimodal AI assistant (vision + RAG) with region-aware regulatory logic across Germany and Norway, deployed via Streamlit — improved retrieval accuracy from 76% to 86% through domain-specific embedding fine-tuning → AI matching-system QA workflows during a 3-month internship at Generation iTrust, where I built structured test documentation that fed directly into product accuracy improvements → A credit default prediction pipeline reaching 0.875 AUC, using SHAP for explainability — one of several ML projects spanning Python, PySpark, Databricks, and Power BI I'm currently working toward my AWS Certified ML Engineer Associate certification, and I bring practical grounding in GDPR and the EU AI Act — increasingly a real differentiator for AI roles in Europe. I'm looking for a Werkstudent position in Berlin where I can apply ML engineering, cloud, or AI product/QA skills to a live product — while continuing to build in public.
🤝 Top Collaborators
🤓 Latest Submissions
Option Alpha Agent
Agent We are building an autonomous options trading agent that runs entirely on Alpaca's paper trading environment, using Alpaca's Trading API, official MCP server, and CLI as its execution backbone. The agent identifies option-selling and directional opportunities using a two-factor decision model: implied volatility conditions (is options premium currently rich or cheap) and underlying price trend (is the stock trending or range-bound). Rather than committing to a single static strategy, the agent switches between defined-risk options structures depending on the market regime it detects, while operating inside strict, non-negotiable risk limits on every trade it places.
4 Sep 2026
