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David Arnal Garcia

Software Engineer | Full Stack, Backend, and AI Systems

Spain

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๐ŸŸกLurking

Software engineer with strong backend foundations and hands-on experience building AI-assisted products, cloud services, and client-facing web applications with React and Next.js. Built LLM-powered workflows, low-latency services, data-intensive pipelines, and internal automation across startup and research environments. Strongest areas include backend engineering, distributed systems, observability, and applied AI systems.

Work Preferences

Salary

USD 85,000 โ€“ 130,000

Skills

TypeScript10/10
AWS10/10
CI/CD (GitHub Actions / GitLab CI)10/10
Docker10/10
FastAPI10/10
Node.js (10/10)Python (10/10)React (10/10)Solidity (review) (10/10)SQL (10/10)Airflow (10/10)Go (10/10)Kubernetes (10/10)Next.js (10/10)GCP (8/10)PostgreSQL (8/10)Prometheus / Grafana (8/10)LLM Integrations / AI Systems (8/10)Redis (8/10)Terraform (8/10)

Work Experience

Backend Engineer

Sentora

Jun 2025 โ€” Present

Designed and shipped a Python-based LLM workflow that analyzes complex datasets and generates structured execution plans, reducing manual strategy formulation time by 90%. Developed a low-latency ingestion pipeline to collect and normalize data from third-party APIs for business-critical dashboards and monitoring workflows. Shipped Slack alerting bots for critical thresholds and system monitoring. Implemented domain-specific Python algorithms with robust error handling, automated testing, and CI/CD safeguards.

Backend Engineer

Scale AI

Dec 2023 โ€” May 2025

Architected an AWS platform using ECS and Lambda that handled 20K+ daily requests with 99.9% uptime and sub-200ms latency. Built type-safe TypeScript SDKs and Next.js-based client tooling for partner integrations, improving onboarding by 30%. Designed a Redis-backed rate-limiting and request-deduplication layer that cut redundant downstream calls by 35% and cloud costs by 25%. Worked across AWS and GCP using Docker, Kubernetes, Terraform, Airflow, Redis, and Prometheus.

Quantitative Researcher

3X Capital

Jun 2023 โ€” Nov 2023

Built Python data pipelines and SQL analyses across on-chain datasets to evaluate 120+ Web3 protocols. Used Dune and Nansen to assess tokenomics, protocol health, and retention metrics. Reviewed Solidity contracts to assess technical architecture and implementation risk across DeFi protocols.

Data Engineer

ChromaWay

Dec 2022 โ€” May 2023

Analyzed user interaction data to improve questing mechanics of XOOB, informing gamification logic and retention strategy. Wrote complex SQL queries against Chromia's relational blockchain structure to monitor network activity and validate game-economy performance.

Education

Polytechnic University of Valencia

MSc ยท Computer Science

? โ€“ 2024

Polytechnic University of Valencia

BSc ยท Computer Science

? โ€“ 2022