Daniel Hernandez

Software Engineer, Payments Team · Bogotá, Hybrid

• Integrate Bancolombia and Wompi payment rails handling 30K+ transactions/day, raising payment success rate from 90% to 99%
• Automate reconciliation for Bancolombia and Wompi settlements, cutting reconciliation time from 5–6 minutes to under 60 seconds per query (80%+ faster)
• Build a 3-layer observability stack (Datadog APM, custom metrics, and alerting) and codify p95/p99 latency monitors, alerts, and dashboards in Terraform, accelerating incident detection
• Lead the Razorpay payment integration, enabling PayJoy's expansion into a new market
• Roll out offline code-generation workflows across engineering, product, and operations, mitigating regulatory risk in Brazil and strengthening operational resilience
• Lead Bitso payment processor integration, projected to reduce annual transaction costs by ~$1M while improving reliability and scalability
• Engineer a zero-to-production Kasnet integration, one of Peru's largest payment networks, enabling QR-code and e-wallet payments and unlocking up to $3M in projected annual savings

Senior AI & Backend Engineer · Miami, Remote

• Led computer vision development for YOLOv7 and Detectron2 production models, improving accuracy and reliability through systematic fine-tuning and evaluation
• Architected GCP-based ML deployment workflows covering containerization, CI/CD, and auto-scaling, enabling consistent and repeatable production releases
• Introduced production monitoring and metric-based alerting for AI services, improving runtime reliability and cutting issue triage time
• Owned quarterly ML planning cycles with leadership, aligning engineering delivery to product goals and maintaining execution pace in an agile environment

Co-founder & Data Scientist · Miami, Remote

• Built and deployed a RAG pipeline (LangChain, Llama3, GPT-4) that transformed large-scale customer feedback into actionable business insights
• Built Feedbacker from scratch, an end-to-end customer feedback product covering collection, analysis, and action
• Built Python ETL pipelines handling structured and unstructured data, accelerating data readiness for downstream analysis
• Scaled analytics platform to serve 100+ enterprise clients, enabling faster data-driven decision-making across their organizations

Software Engineer Intern · Reno, NV

• Cut adhesive dispense waste by 20% by engineering real-time Python ETL pipelines that pinpointed Powerwall manufacturing bottlenecks
• Designed and built a predictive-maintenance system that forecasts Powerwall station failures from first-pass yield (FPY), downtime, and production telemetry, flagging at-risk stations before they go down
• Built Tableau dashboards and Python visualizations on Ignition SCADA data, giving production engineers clear visibility into Powerwall line performance
• Hardened assembly-station logic and data-integrity checks across 4+ Powerwall configurations, eliminating serial-number conflicts
• Established Kubernetes-based CI/CD with Docker and Jenkins, automating build, test, and release stages

Software Engineering Consultant · Toyota Chile, Ford Argentina

• Delivered a production VR showcase for Toyota Chile used in live customer-facing marketing campaigns
• Integrated Ford Argentina APIs into a multi-dealership CRM, improving vehicle-order tracking accuracy and reliability across sales teams