Leonardo Lob

Software Developer

Email: leo@lob.com.ar Phone: +972 53 474 9772 LinkedIn: linkedin.com/in/leolobLocation: Raanana, Israel

Senior Fullstack Engineer and hands-on architect with 25+ years of experience building production systems that need to be reliable, scalable, and operationally clear.

My work focuses on transaction-critical backends, distributed workflows, concurrency, performance, and pragmatic product delivery. I combine deep backend engineering with modern frontend work, technical leadership, and real-world integrations across payments, commerce, and operational platforms.

Selected Projects

Projects

CPT ERP System

Core ERP for Mali, one of the largest stationery retailers and wholesalers in Buenos Aires, operating across multiple customer-facing sales channels.

Centralized customers, orders, stock, invoicing, payments, logistics, current accounts, and real-time external order ingestion across retail and wholesale operations. Built around high concurrency and strict consistency for stock and financial balances under heavy seasonal demand.

RoleSenior Backend Engineer / hands-on Tech Lead. Architecture, backend domain design, critical business logic, integrations, performance, concurrency, and technical mentorship across a team of 5-7 developers.

Load2,000-3,000 daily orders in normal operation, with seasonal peaks before the school cycle of roughly 50 sales per minute and around 100 items per sale, plus tens of thousands of external users and 140-150 concurrent internal users.

ImpactCore system of the business. It automated the full commercial and logistics flow, reduced operational errors through smart business rules, integrated external sales channels in real time, and improved processing times with an asynchronous architecture.

Node.js
TypeScript
Express
TypeORM
MySQL
Vue.js
Quasar
RabbitMQ

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BingoAdom

A lightweight social app built around shared real-life missile-siren moments with a humorous bingo mechanic.

Designed as a simple, engaging experience where users generate bingo cards, track real-life scenarios, and share moments with friends. Humor on the surface, but built with clean technical foundations and scalability in mind.

RoleProduct design, full-stack implementation, UX direction, and architecture. Built end to end as a solo project.

LoadSocial app designed for lightweight real-time interaction and scalable async processing.

ImpactTurned a stressful everyday reality into a social, memorable interaction pattern with a lightweight product experience that is easy to use and easy to extend.

Vue
Quasar
Python
PostgreSQL
Docker
RabbitMQ
Redis

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https://www.bingoadom.com/

SirenForecast

Public web app that estimates the statistical likelihood of receiving an alert in a specific city based on historical Tzeva Adom / Tzofar data.

Built as a statistical layer on top of historical alert data, with city-based forecasting by time window, travel risk analysis between origin and destination, multilingual support, internal admin tools, and separate sync, backfill, and enrichment jobs.

RoleFull product and engineering ownership across frontend, backend, data modeling, and supporting jobs. Built end to end as a solo project.

LoadPublic-facing app with forecast queries, admin tooling, and background sync, backfill, and city-enrichment jobs.

ImpactTurned raw historical alert data into a public-facing decision-support product with a clear user experience and internal operational tooling.

Next.js
React
TypeScript
PostgreSQL
Prisma

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https://sirenforecast.com/en

Driver Monitoring System – Experta Seguros

Real-time fleet safety platform focused on detecting fatigue, drowsiness, and driver distraction through mobile-device camera analysis.

Built to improve road safety in transport fleets by processing real-time driver behavior signals, triggering immediate alerts, and storing operational data for later analysis. The system connected mobile clients, web tools, and backend event pipelines around critical safety workflows.

RoleBackend engineering and system architecture. Real-time event APIs, data modeling, query optimization, client integrations, and critical alert/event mechanisms.

LoadReal-time event ingestion and alerting for concurrent fleet operations across multiple vehicles.

ImpactImproved accident prevention capabilities, gave logistics teams real-time visibility into driver condition, and created historical metrics to support operational decisions across multiple vehicles at once.

Node.js
MySQL
Swift
Kotlin
React

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