Ahmed Khalid
AI/ML & MLOps Engineer building scalable full-stack systems
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Ahmed is building their profile!
Problem Statement
SaaS applications need real-time notification systems, but building one correctly is deceptively complex. Polling is unreliable, SSE is one-directional, and most teams bolt on a third-party widget rather than engineering the connection lifecycle, auth,...
Problem Statement
Crypto traders lack interpretable, short-horizon price signals that combine market sentiment with price momentum. Most sentiment tools are disconnected from live trading data and have no production ML lifecycle behind them.
Solution & Approach
Built a...
Problem Statement
Small service businesses such as salons, studios, clinics can get stuck choosing between Calendly (too generic, no customisation) and Acuity (expensive, over-featured). They need a branded, per-stylist booking experience with real availability logic, not a...
Problem Statement
The Iris dataset is a teaching staple, but nobody builds it like it would actually run in production. The goal was to demonstrate what a fully operationalised ML system looks like — CI/CD, drift detection, hot-swap model updates, explainability — using a...
Problem Statement
Wedding planning is fragmented. Couples spend hours across dozens of websites researching vendors with no central place to browse, compare, save, and reach out to multiple vendor types at once. Vendors lack an affordable platform to showcase their work and...
