Hard Skills

- IoT Protocols & Standards: MQTT, CoAP, HTTP/REST, WebSocket

- Cloud Platforms: AWS IoT, Azure IoT Hub, Google Cloud IoT

- Backend Technologies: Node.js, Python, Golang

- Microservices Architecture & API Design

- Database Management: PostgreSQL, InfluxDB, TimescaleDB

- Message Queues & Streaming: Kafka, RabbitMQ, Apache Pulsar

- Containerization & Orchestration: Docker, Kubernetes

- Security & Authentication: OAuth 2.0, TLS, JWT

- Data Analytics & Edge Computing Integration

Soft Skills

- Problem-Solving & Critical Thinking

- Agile & SCRUM Methodologies

- Cross-functional Collaboration

- Technical Documentation

- Continuous Learning & Innovation

- Customer-Centric Approach

**Bachelor of Science in Computer Science**

Stanford University, Stanford, CA — 2012–2016

- AWS Certified Solutions Architect – Associate (2023)

- Certified IoT Security Professional (2024)

- Kubernetes Administrator Certification (2024)

SmartCity Traffic Monitoring System

- Developed a real-time traffic data collection platform integrating thousands of sensors across urban regions.

- Utilized MQTT and AWS IoT for device messaging and Lambda functions for serverless data aggregation.

- Enabled city planners to optimize traffic flow and reduce congestion by analyzing processed data streams.

Edge Computing Gateway for Industrial IoT

- Designed a lightweight edge gateway using Golang and MQTT to preprocess sensor data before cloud transmission.

- Decreased network bandwidth consumption by 40% and improved responsiveness for critical control commands.

- MQTT, CoAP, WebSocket, REST API

- AWS IoT, Azure IoT, Google Cloud IoT

- Docker, Kubernetes, Jenkins, Terraform

- PostgreSQL, InfluxDB, TimescaleDB

- Kafka, RabbitMQ, Pulsar

- English (Native)

- Spanish (Fluent)