AWS Cloud Engineer

Jorge Coronado

Cloud Engineer AWS

+52-662-***-**** # ******************@*****.*** ï linkedin.com/in/jorge-coronado-v § github.com/Ivandepv Summary

Cloud engineer with 2+ years building serverless architectures, Infrastructure as Code (Terraform), and CI/CD pipelines on AWS

(Lambda, API Gateway, DynamoDB, CloudWatch). AWS Certified Cloud Practitioner. Delivered production infrastructure at 99.9% uptime, with a focus on reliability, automation, and cost optimization. Education

Tecnol ogico de Monterrey (GPA: 4.0/4.0 · Top 1% · Academic Excellence Scholarship) Hermosillo, Sonora B.S. in Computer Science 2022 – 2026

Southern Taiwan University of Science and Technology Tainan, Taiwan Specialization in AIoT Application Design and Industrial Architecture 2025 – 2026 Industrial Technology Research Institute (ITRI) Tainan, Taiwan Advanced Training in AI, Cloud, Smart Cities, Semiconductors, and Smart Manufacturing 2026 Certifications

AWS Certified Cloud Practitioner: Amazon Web Services 2026 Verify Proof of Attendance — EV, Semiconductor, Automation & Smart City: ITRI College of Industrial Technology Research Institute 2026 60 hours Verify

Experience

Onop San Francisco, CA (Remote)

Backend Engineer Jan 2024 – Sep 2024

– Architected a serverless backend on AWS Lambda + API Gateway, achieving a 60% reduction in infrastructure costs while serving 100+ active users with 99.9% uptime across all environments.

– Optimized APIs handling 5,000+ daily requests by implementing Redis caching that offloaded 40% of database traffic, improving average response times by 3 .

– Provisioned cloud infrastructure using Terraform, standardizing deployments across staging and production and reducing manual provisioning time by 80%.

Filtros y Refacciones Hermosillo, Sonora

Backend Developer Feb 2023 – Jan 2024

– Built a real-time inventory synchronization system using Node.js and WebSockets backed by AWS RDS, enabling live stock visibility across 5+ warehouse locations.

– Migrated legacy monolithic systems to a modular TypeScript microservices architecture deployed on AWS EC2 with Docker, increasing developer velocity by 40% and integrating automated testing for mission-critical logistics data. Freelance Hermosillo, Sonora

Full Stack Web Developer Jan 2022 – Jan 2023

– Designed and delivered 8+ end-to-end web applications for local businesses and SMEs, covering e-commerce, service booking, and internal tooling; reduced average operational overhead by 20+ hours/month through workflow automation. Key Project

SpectrumEye Python, TensorFlow, WebSockets, React, Raspberry Pi 5, RTL-SDR Live Demo 2026

– Built a real-time RF situational awareness system on a Raspberry Pi 5: an RTL-SDR dongle sweeps 10 frequency bands, converts IQ captures into spectrograms, and classifies signals via a MobileNetV2 CNN (97.45% accuracy) — streaming results to a live phosphor radar dashboard over WebSocket.

– Engineered a Behavioral Inference Engine that tracks RSSI slope across an 8-state machine (Approaching, Stationary, Erratic, etc.) to produce human-readable threat assessments (CLEAR to CRITICAL) in real time. Technical Skills

Cloud Platform (AWS): Lambda, API Gateway, EC2, S3, RDS, VPC, IAM, IoT Core, DynamoDB, SQS/SNS, CloudWatch, CloudFront, Bedrock, Kubernetes

IaC & Automation: Terraform, AWS CloudFormation, AWS CDK, CI/CD (GitHub Actions, AWS CodePipeline) Containers & Orchestration: Docker, Amazon ECS, AWS Fargate, AWS EKS Backend & Streaming: Node.js, Python, FastAPI, WebSockets, Redis Pub/Sub, REST/GraphQL Databases: PostgreSQL, TimescaleDB (Time-series), Neo4j (Graph), Redis, DynamoDB, MongoDB ML & Edge: TensorFlow, MobileNetV2, TFLite, CNN inference, spectrogram processing, Raspberry Pi

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