Open to opportunities

Filippo Peres

@filippoperes

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Prompt Engineer & Project Manager specializing in LLMs, RAG, evals, guardrails and AI-driven product growth.

Italy

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What I'm looking for

I seek roles where I can build and version prompt/RAG systems, improve observability and safety, lead cross-functional teams, and drive measurable cost/latency/quality improvements.

I am a Prompt Engineer and Project Manager with a background in civil engineering and AI, focused on turning LLMs into measurable productivity gains. I design multimodal prompt libraries, RAG pipelines, evals and guardrails to reduce hallucinations, latency, and costs.

At Alveum Inc I led Visual/AI Ops & Growth, versioning prompt libraries and orchestrating LLM + image-gen pipelines that improved asset production time by ~30–45% and reduced cost per 1k tokens by ~20–35%.

As co‑founder at Fitha Entertainment I built a creator marketplace and SaaS (Node/React/Postgres/AWS/Stripe), scaled to the first 1,000 active users with no paid acquisition, and drove U.S. expansion delivering consistent YoY revenue growth.

I combine engineering rigor, observability and A/B testing with product and program management practices to ship large programs early, improve approval rates, and operationalize safe, versioned prompt ecosystems.

Experience

Work history, roles, and key accomplishments

Current

Lead, Visual/AI Ops & Growth

Current

Alveum Inc

Jan 2023 - Present (2 years 9 months)

Designed multimodal prompt library, RAG pipelines and guardrails, accelerating go‑live by 8 months and driving 100,000+ installs in the first month while reducing production time ~30–45% and cost per 1k tokens ~20–35%.

Prompt Engineering RAG GuardRails Observability A B Testing Python

Co-founder, Product & Growth

Fitha Entertainment

Jan 2019 - Dec 2023 (4 years 11 months)

Built a creator marketplace and SaaS with Node/React/Postgres/AWS and scaled to 1,000 active users without paid acquisition; led U.S. expansion and program governance, delivering YoY revenue growth of +18%, +14% and +12%.

Product Management Growth Node React PostgreSQL AWS Stripe Analytics Scrum

Civil Engineer (AI/Energy)

Odebrecht SA

Jan 2018 - Dec 2019 (1 year 11 months)

Modeled PV and storage systems and optimized energy mix using Python, HOMER Pro and Pyomo, achieving projected energy savings ~18–25%, grid peak reduction ~12–18% and CAPEX reductions of ~8–15%; implemented monitoring to cut failure response and production time ~20–30%.

Python EnergyPlus Pyomo MQTT Grafana Optimization