AI Software Engineer at Replika
At Replika, I work on LLM inference, including models hosted internally on vLLM and SGLang, GPU sizing, and routing to external APIs.
I also build agent infrastructure, covering tool use, background tasks and multi agent orchestration, and I work on a memory layer.
My path to this work runs through data platforms, production machine learning and physics research. At Sparrow Parts, I designed and deployed custom embedding models for industrial part matching. At Stratio, I led a team that deployed time series models to production for fleet monitoring. My PhD research in Marseille focused on numerical approaches to quantum gravity. During that research I developed open source C libraries, including sl2cfoam, with CUDA kernels for GPU parallelization.
Experience
Expand for contextLLM inference with vLLM and SGLang, GPU sizing and routing to third party APIs, along with agent infrastructure and a memory layer.
October 2025 to present. Work on LLM inference, agent infrastructure covering tool use, background tasks and multi agent orchestration, and a memory layer.
Key initiatives
- Technical focus: inference, agents, and memory systems.
Designed and deployed custom embedding models for industrial part matching, and set direction for the data platform.
February 2025 to October 2025. Work on custom embedding models for industrial part matching and direction for the data platform.
Key initiatives
- Technical focus: custom embeddings and matching.
- Leadership: a team of four engineers.
Built an event driven recommendation system and the ML stack, including cold start matching and behavioral tracking.
Part time, 2024 to 2025. Work on an event driven recommendation system and the ML stack behind it.
Key initiatives
- Technical focus: cold-start matching and behavioral signals.
Led a team deploying time series models to production for fleet monitoring, and worked on automotive diagnostics.
2022 to February 2025. Work on production time series models for fleet monitoring and on automotive diagnostics.
Built route optimization tools for the marine industry and was responsible for product and technical direction.
2020 to 2023. Work on route optimization tools for the marine industry, with responsibility for product and technical direction.
Research and a PhD in theoretical physics on numerical quantum gravity, including open source C libraries such as sl2cfoam.
2017 to 2020. Developed open source C libraries, including sl2cfoam, using CUDA kernels for GPU parallelization.
Areas of focus
LLM inference
vLLM, SGLang, GPU sizing and routing to third party APIs.
Agent infrastructure
Tool use, background tasks and multi agent orchestration.
Memory systems and embeddings
Memory layer work and custom embedding models.
Technical context
LLMs and agents
Engineering
Writing
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