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$25/hr or $48,000/yr

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Senior Software Engineer

Software Engineer
Available for hire
Years of experience
9+ years
Experience level
Senior
Available for
Full-time, Contract

Senior Full-Stack Engineer with 9 years of experience architecting high-throughput microservices, distributed systems, and real-time marketplace products. My career spans scaling foundational architecture at Uber, building the core telemetry pipelines powering logistics at Nowports (Tech Unicorn), developing automated fintech underwriting frameworks at Mundi, and leading full-stack AI enterprise architectures at GrubMarket.

My core technical mastery centers on scalable backend ecosystems (Node.js, Python, Java, Go) and responsive, data-dense frontends (React, TypeScript), utilizing Python as a targeted tool for data pipelines, AI models, and scripting. Throughout my career, I have specialized in turning immense real-world complexity such as live GPS tracking, cross-border financial clearing, automated AI dynamic pricing, and deep LLM/AI integrations into elegant, low-latency code.

Core Technical Expertise: • Backend & Systems: Node.js, Python, Java, Go, C++, Spring Boot, Microservices • Frontend & Web: React, TypeScript, Next.js, Web Interfaces, Full-Stack Design • AI & LLM Integration: GenAI Tooling, LLM Workflows, Predictive AI Pricing Models • Data, Telemetry & Scripting: Python (Data/Automation), Apache Kafka, Redis, PostgreSQL, MongoDB, Geospatial Data (GIS) • Cloud & DevOps: Amazon Web Services (AWS), Kubernetes, Docker, CI/CD Pipelines

I thrive in fast-paced, high-impact product engineering environments where software directly drives operational margins, system scalability, and business efficiency. Let’s connect to discuss distributed architectures, event-driven systems, LLM integrations, or tech leadership.

Languages

Employment History

AI-Driven Full Stack Engineer at GrubMarket Current 2025 - Now
Project: WholesaleWare •Built and optimized the responsive frontend layout for the Fleet Management Dashboard using React and TypeScript, reducing layout load latency by 35% through lazy loading and optimized state management. •Developed and deployed robust, low-latency API endpoints in Node.js that ingest live vehicle IoT telemetry data to feed real-time map interfaces. •Mentored 3 junior developers on microservices architecture and established code-review standards that cut post-release software bugs by 20%.
Software Engineer at Mundi 2022 - 2024
Project: Automated Credit Underwriting System •Programmed and optimized event-driven database consumers using Java and Spring Boot to ingest third-party credit bureau data, automating trade risk analysis and slashing loan approval times from 3 days to 45 seconds. •Migrated a core legacy monolithic invoicing module into structured, decoupled independent microservices deployed via Kubernetes, boosting overall cloud infrastructure scaling efficiency by 40%. Project: Multi-Currency Transaction Core •Configured and managed messaging topographies inside Apache Kafka to guarantee reliable data streaming across decoupled compliance services, eliminating data loss during peak transaction hours. •Wrote and executed rigorous integration tests for global banking API handshakes, securing multi-currency data payloads against data corruption and system timeouts. •Migrated a legacy monolithic invoicing module into structured, independent services deployed via Kubernetes, which boosted infrastructure scaling efficiency by 40%.
Software Engineer at Nowports 2020 - 2021
Project: Global Maritime Telemetry Engine •Architected and wrote a scalable telemetry processing engine using Node.js and Python capable of handling over 5,000 concurrent live GPS data points from cargo ships. •Implemented custom geographic algorithms using GIS (Geospatial Data) to recalculate vessel path deviations, yielding 18% more accurate Estimated Time of Arrival (ETA) predictions. Project: Customs Automation Gateway •Constructed an automated document parsing engine that reads raw text from customs PDFs, accurately mapping shipping data into MongoDB and eliminating manual data entry bottlenecks. •Optimized database indexing and integrated a Redis caching layer, which reduced database read query response times by 50% across the global tracker.
Software Engineer at Uber 2017 - 2020
Project: Core Driver-Rider Matching Grid •Refactored and maintained critical, high-throughput microservices using Go and Python, ensuring zero system downtime during city-wide surge pricing events and peak booking hours. •Engineered low-latency caching patterns using Redis inside the matching layer, lowering end-to-end API response latency by 80ms. •Created and documented robust internal API guidelines used across a distributed engineering network of 50+ developers to streamline onboarding. Project: Real-Time Transactional Fraud Pipeline •Developed inline fraud-detection filters using C++ that process active rider digital fingerprints, blocking compromised accounts instantly at checkout.

Education

Bachelor's degree in Computer Science at Tecnológico de Monterrey 2012 - 2017