From Core Backend Engineering to Agentic AI Architecture
Key philosophical shifts required when moving from deterministic Java environments to probabilistic multi-agent AI ecosystems.
Senior Java Backend Engineer bridging the gap between scalable cloud infrastructure, side builds, and agentic AI workflows.
Distributed data services processing 8B+ monthly requests with >99.999% uptime across production environments.
Boosted processing capacity by migrating payload serialization to Protobuf — delivering dramatic throughput gains at scale.
Built LangGraph ReAct architectures and Claude-powered automation agents, boosting end-user productivity by 80%.
Top 10 Finalist — Generative AI Hackathon. Runner-Up — EMEA IoT Hackathon. Built under 48-hour crunch conditions.
Everything I'm shipping, building, experimenting with, or whiteboarding — from shipped products to early-stage concepts.
Key philosophical shifts required when moving from deterministic Java environments to probabilistic multi-agent AI ecosystems.
An architectural deep-dive into scaling distributed enterprise SaaS platforms using Java, Spring Boot, and AWS-native workflows.
How swapping traditional JSON REST payloads for Protocol Buffers boosted data throughput capacity from 350 to 1000 requests per second.