Experience
SAP
Machine Learning Engineer
Jun '25 – Current· 11 months
Description
- •Developed backend for Joule For Consultants (J4C) serving 30k MAUs and orchestrating over 1M monthly messages & API calls.
- •Architected granular Access Control for RAG-based vector databases, ensuring secure and precise document chunk retrieval.
- •Bootstrapped Python micro-services from 0 to 1, including a multi-conversation group service and an AI-native LLM benchmarking service with unified metering.
- •Optimized API latency by 60% via distributed Redis caching, significantly reducing downstream service overhead.
- •Implemented Asynchronous Programming and distributed cronjobs to eliminate race conditions and maintain high data integrity.
- •Spearheaded Claude Code adoption for agentic development, establishing rigorous PR review frameworks for AI-generated code.
- •Streamlined DevOps by implementing Dead Letter Queues (DLQ) with real-time Slack notifications for event-driven reliability.
- •Optimized CD pipelines by implementing parallel build stages to reduce deployment lead times.
Skills
Experience