Matías Ferreyra
Senior Forward-Deployed Engineer
Buenos Aires, Argentina · UTC-3 · 7 years of experience
Matías focuses on taking enterprise AI integrations from pilot to production and daily use.
Request a shortlistWhy this profile fits
Enterprise CRM and ERP integration
Connects AI features to systems such as Salesforce, Dynamics, SAP, internal APIs, and operational data.
Customer-embedded delivery
Works inside the client environment, turns unclear requirements into a shipped workflow, and closes the last-mile gap.
Production governance
Builds observable services, approval gates, access boundaries, and a rollout path teams can operate.
Relevant toolkit
Python
TypeScript
PostgreSQL
React
DockerDelivery evidence
Selected work
Field Triage Assistant
Mid-market logistics operatorEmbedded with a dispatch center to replace manual email triage. I built a retrieval-augmented Claude assistant that classifies, prioritizes, and drafts replies to inbound operational email, wired into the existing ticketing system, then ran a staged rollout across three depots. Median handling time fell 41 percent and agent adoption reached 92 percent within a month.
Underwriting Copilot
Consumer fintech lenderBuilt a human-in-the-loop underwriting copilot that extracts, summarizes, and flags risk across loan document packages. Reviewers keep the final say while the model handles the first pass, and every output is logged for audit. Manual review time per file dropped from 35 minutes to 9, roughly tripling throughput without adding headcount.
Relevant experience
Career timeline
Senior Forward-Deployed Engineer
2023–PresentDevlyn (embedded client engagements) · Remote, Argentina (US and EU hours)
- Embedded as the sole engineer inside 6 client product teams across fintech, logistics, and healthtech, owning AI features from customer-embedded discovery to production rollout with no handoff gaps.
Forward-Deployed Engineer
2020–2023Devlyn (embedded client engagements) · Remote and on-site, Argentina
- Delivered 11 embedded engagements translating messy field requirements into shipped AI and automation features for mid-market and scale-up clients.
Software Engineer
2019–2020Early-stage payments fintech startup · Buenos Aires, Argentina
- Built and shipped payment reconciliation and reporting features in Python and React serving roughly 120k monthly active merchants.
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Skill depth
Show experience in context.
Relevant experience by skill
See the complete skill index
Languages
Frameworks
Libraries/APIs
Tools
Paradigms
Platforms
Storage
Other
Education
Formal background
Ingeniería en Sistemas de Información, Software Engineering
Universidad Tecnológica Nacional (UTN) · 2013–2019 · Graduated with distinction in final-year software project
Diplomatura, Applied Artificial Intelligence
Universidad de Buenos Aires (UBA) · 2022–2022
Credentials
Certifications
Salesforce Certified MuleSoft Platform Integration Architect
Salesforce · 2025 · Certified
Salesforce Certified Platform Developer I
Salesforce · 2024 · Certified
Communication
Languages
Spanish
Native
English
Fluent
Portuguese
Conversational
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