Software Engineer at Infineon Technologies

I design systems that stay fast under load.

Software engineer focused on backend, AI, and distributed systems. I care about latency budgets, correctness, and code that reads clearly.

What I do

Three places I go deep.

APIs and services that stay correct under real traffic. Clean data models, sane transactions, and error paths that fail loudly instead of silently.

ASP.NET Core

Python

PostgreSQL

Retrieval, embeddings, and inference wired into products that ship. Keeping models useful, observable, and affordable in production.

PyTorch

RAG

Vector search

Distributed systems that degrade gracefully. Queues, caches, and consistency choices made on purpose, with the tradeoffs written down.

Kafka

Redis

Docker

Kubernetes

RAG inference gateway

A gateway that fronts embedding and generation models with caching, batching, and per-tenant budgets so answers stay fast and costs stay honest.

Halved p99 latency under peak load.

Distributed payments ledger

A double-entry ledger that reconciles millions of daily transfers without drift. Event-sourced core, idempotent writes, and a replayable audit trail.

Cut reconciliation lag from hours to near real time.

Hiring, collaborating, or comparing notes on a hard problem? I would like to hear about it.