From RSS to Code: Automating Python Feature Generation with Self‑Healing LLM Agents Every week I scroll through Cloudflare’s blog and find a nugget of insight that could be turned into a reusable Python helper. Manually translating…
Building a Self-Healing Python Code Assistant with Abstract Syntax Trees and LLM Feedback Loops Have you ever watched an LLM-generated data pipeline script crash in production because a third-party API silently shifted its JSON keys overnight?…
How I Built a Resilient Real‑Time NEPSE Ticker with `websockets` and `asyncio` When I tried to stream NEPSE price updates with the simple websocket-client library, a single network hiccup dropped the connection and my data pi…
Taming the Podium Paradox: Advanced Imbalance Strategies for F1 Race Predictions Implementing advanced imbalance handling techniques like cost-sensitive learning and ensemble-based resampling significantly improves the detection…
From Training to Triton: Serving Scalable ML Inference with ONNX and Dynamic Batching Optimize and serve a pre-trained scikit-learn text classification model for low-latency, high-throughput inference by converting it to ONNX and dep…