──[ Dylan Szejnblum ]───────────────────────────────────────────────────────[ CV
]
Buenos Aires, Argentina
dylanszejnblum@gmail.com · github.com/dylanszejnblum · @dylansz_
Spanish (Native) · English (C2) · Portuguese (Fluent)
──[ Summary ]───────────────────────────────────────────────────────────────//──
─
Fullstack engineer with 6+ years building data-intensive fintech
platforms, trading infrastructure, and production AI applications.
Combines strong quantitative finance experience — automated
liquidation bots for a Liquity-fork lending protocol, stablecoin
platforms processing $8M+ in emerging markets, real-time financial
dashboards for trading desks — with deep AI/LLM engineering
(LangChain, RAG, model deployment). Recently built an energy
intelligence platform for Vaca Muerta (Petrodata.ar) with automated
data pipelines and executive dashboards. Strong data analysis with
Python, SQL, and time-series modeling.
──[ Experience ]────────────────────────────────────────────────────────────//──
─
Petrodata.ar (Buenos Aires, Argentina)
2025 · Creator — Energy Data Intelligence
Built automated Python ETL pipelines ingesting production, well,
and pricing data from Argentina's Secretaría de Energía (CKAN
API) into a star-schema Postgres model — 80 operators, 85K+
wells, 327K monthly records. Integrated live market data (Brent,
WTI, Henry Hub via EIA API), FX rates, and rig counts into a
unified data layer for energy trading analytics. NestJS REST API
+ React/Next.js dashboards with animated KPIs, trend analysis,
and geospatial well maps.
W3G / Inspirae.ai — Nini (nonarcisai / getnini.ai) (Remote)
2025 — Present · Full-Stack Developer & PM — AI Application
Led development of a live consumer AI app (iOS/Android): React
Native frontend, Node.js microservices on GCP, LangChain/Python
AI pipelines for behavioral analysis. Managed team of 3 while
hands-on in code. Deployed production LLM inference pipelines
with RAG, structured output, and prompt iteration — serving
thousands of users.
VaultTech (Remote)
2024 — 2025 · Full Stack Engineer — Lending & Vault Infrastructure
(Liquity fork — NDA)
Built an automated liquidation bot and event-driven indexing
system (subgraphs/GraphQL) for a DeFi lending protocol —
monitoring vault collateralization, triggering liquidations, and
managing financial risk in real time. Architected the lending
product from scratch: Node.js backend, smart contract
integration, and React/TypeScript dashboards for vault health
and liquidity risk used daily by the operations desk.
Num Finance (now Twin Finance) (Buenos Aires, Argentina)
2023 — 2024 · Full Stack Engineer — Stablecoins & Payments
Built fullstack products for USD- and FX-pegged stablecoins
across Argentina, Brazil, and Mexico — $8M+ in cross-border
volume — plus back-office tooling and REST APIs for
Pix-to-stablecoin settlement. Created onchain data dashboards
tracking supply, liquidity, peg health, and product KPIs across
multiple chains, used daily by finance and strategy teams.
Mangos Wallet (mangos.finance) (Remote)
2022 — 2023 · Software Engineer — Consumer Wallet Platform
Led end-to-end build of a wallet for underbanked users (React,
TypeScript, Node.js): Web2 social-login over account-abstraction
with integrated yield protocols (AAVE), shipping MVP to
production for non-crypto-native users.
Perro en la Luna (Buenos Aires / Remote)
2021 — 2022 · Software Engineer Intern
Client-facing apps, internal tools, and automated dashboards.
Next.js frontend, Nest.js backend.
──[ Awards ]────────────────────────────────────────────────────────────────//──
─
Seedstars LATAM x WEF — Winner (2023)
AI Agent Platform for Agricultural Management
Presented at GIZ (Germany) and WEF (Mexico)
──[ Skills ]────────────────────────────────────────────────────────────────//──
─
Languages : Python, TypeScript, Node.js, SQL, Solidity
Data & ETL : ETL & data pipeline engineering, time-series,
star-schema modeling
Fintech : Real-time financial dashboards, market data
integration (commodities, FX, rates), automated
liquidation/trading systems, vault risk monitoring
AI / LLM : LangChain, production LLM pipelines (RAG, structured
output, prompt engineering), AI agent systems
Frontend : React, Next.js, React Native, Recharts, MapLibre GL
Backend : NestJS, Express, PostgreSQL, Prisma, MongoDB, GCP,
REST/GraphQL APIs
Domain : DeFi lending mechanics, stablecoin operations,
cross-border payments
──[ Education ]─────────────────────────────────────────────────────────────//──
─
University of Gothenburg — Engineering Program
Gothenburg, Sweden · 2022 — 2023
University of Buenos Aires (UBA) — Computer Science
Buenos Aires, Argentina · 2019 — 2022
ORT Argentina — IT Technical HS Diploma
Buenos Aires, Argentina · 2016 — 2019
Reference: Ezequiel Gorbatik — CTO, Num Finance · egorbatik@gmail.com
──[ EOF ]──────────────────────────────────────────────────────────────────//───