Muhammad Ramadiansyah — Blog https://ramadnsyh.dev/blog Muhammad Ramadiansyah is a Full Stack AI Engineer building production AI systems — recommendation engines, real-time data pipelines, and full-stack apps with Python, AWS, and Kafka. Read the technical blog, browse projects, and get in touch. en ramadiansyahmuh@gmail.com (Muhammad Ramadiansyah) Fri, 12 Jun 2026 00:00:00 GMT Designing a Production Recommendation System That Actually Moves Revenue https://ramadnsyh.dev/blog/production-recommendation-system https://ramadnsyh.dev/blog/production-recommendation-system Fri, 12 Jun 2026 00:00:00 GMT Muhammad Ramadiansyah A pragmatic walkthrough of building a production recommendation system with candidate generation, propensity ranking, a Kafka/Airflow/BigQuery pipeline, and metrics that track revenue, not just AUC. recommendation-systems machine-learning data-engineering mlops LLM Observability in Production: What to Actually Log and Measure https://ramadnsyh.dev/blog/llm-observability-in-production https://ramadnsyh.dev/blog/llm-observability-in-production Wed, 20 May 2026 00:00:00 GMT Muhammad Ramadiansyah A pragmatic guide to LLM observability in production: cost, tokens, latency percentiles, failure rates, groundedness, prompt versioning, tracing, evals as monitoring, and alerting. llm observability mlops python monitoring Real-Time Data Pipelines with Kafka: Lessons from 300 req/min Under 25% CPU https://ramadnsyh.dev/blog/real-time-data-pipelines-with-kafka https://ramadnsyh.dev/blog/real-time-data-pipelines-with-kafka Wed, 15 Apr 2026 00:00:00 GMT Muhammad Ramadiansyah Hard-won lessons from running a real-time third-party data platform on Kafka: partitioning, backpressure, exactly-once vs at-least-once, schema evolution, and circuit breakers. Kafka Data Engineering Python Distributed Systems Observability Multi-Armed Bandits in Production: When A/B Testing Wastes Your Traffic https://ramadnsyh.dev/blog/multi-armed-bandits-vs-ab-testing https://ramadnsyh.dev/blog/multi-armed-bandits-vs-ab-testing Thu, 05 Mar 2026 00:00:00 GMT Muhammad Ramadiansyah A pragmatic guide to running multi-armed bandits in production: epsilon-greedy vs Thompson Sampling, delayed rewards, non-stationarity, guardrails, and wiring. multi-armed-bandits ab-testing thompson-sampling recommendations python