"Growth happens at the edge of your comfort zone."
I'm a Lead Data/AI Engineer with over 10 years of experience building scalable solutions across software development, data engineering, and cloud technologies. I thrive in turning complex ideas into real-world impact.
Designing and re-architecting AI-powered solutions using Azure, AWS, and GCP. Building Agentic AI systems and scalable APIs with FastAPI, leveraging Kubernetes for container orchestration. Integrating AI with data platforms while ensuring performance, security, and reliability. Collaborating with cross-functional teams to deliver intelligent, production-ready systems.
Key Expertise:
- π€ Architecting and deploying Agentic AI systems
- β‘ Building high-performance APIs with FastAPI and microservices architecture
- βΈοΈ Container orchestration and cluster management with Kubernetes
- ποΈ Infrastructure as Code with Terraform and Serverless Framework
- πΌ Leading data pipeline and ETL system development at scale
- βοΈ Multi-cloud solutions across AWS, Azure, and GCP
- ποΈ Database design and optimization: PostgreSQL, MySQL, MSSQL, DynamoDB
- π CI/CD automation with Azure DevOps, GitHub Actions, GitLab, Bitbucket
- π§ Full-stack development: Python, PHP (Laravel), NodeJS, ReactJS, React Native
- π οΈ Workflow automation with n8n, Zapier, and Make
- π€ Fine-Tuning LLMs for Cloud-Native Workloads β adapting language models to run efficiently on container platforms
- π From Prototype to Production: Cloud-Native AI Pipelines β practices for taking AI proofs-of-concept to production reliably
- π§βπ» Improving Developer Experience for Agentic Applications β streamlining tooling and workflows for building agent-based apps
- βοΈ Explore Azure AKS β managed Kubernetes on Azure, comparing setup and workflows against EKS/GKE
- βΈοΈ Explore AWS EKS β deep dive into cluster provisioning, IAM/RBAC, and networking on AWS's managed K8s
- π€ Generative AI in Kubernetes β running and serving LLM workloads on K8s clusters
- π Agnes for Smart Home, independent from cloud β local-first IoT/home automation platform that works without a cloud dependency
- βΈοΈ Explore AWS EKS β cluster architecture and managed node groups on AWS
- βΈοΈ Explore GCP GKE β autopilot vs standard clusters and GCP-native tooling
- π§ Explore Knative β serverless workloads and event-driven scaling on top of Kubernetes
- π€ Agentic Workflows and AI Agent Pipelines β orchestrating multi-step AI agents in production pipelines
- βοΈ Revisit Azure Cloud for Kubernetes β refreshing AKS setup, networking, and identity integration
- π Explore PCB Design β hardware design fundamentals for embedded/IoT prototypes
- π€ Revisit Automation, AI and IoT β tying automation and AI into IoT device workflows
- π€ Agentic Workflows and AI Agent Pipelines β continued work on multi-agent orchestration patterns
- βΈοΈ Kubernetes orchestration and cluster management β hands-on cluster ops, scheduling, and scaling
- β‘ Building APIs with FastAPI β designing high-performance async APIs
- π€ Exploring Agentic AI architectures and workflows β early experiments in agent design patterns
- π§ Working with Claude API and OpenAI for AI integration β integrating LLM providers into applications
- ποΈ Infrastructure as Code with Terraform β provisioning cloud infra declaratively
- β‘ Spartan Lazaro the Spartan Serverless Framework mainly for Google Cloud Platform β building a GCP-focused serverless micro framework
- π οΈ N8N CLI tools and utilities β command-line tooling around n8n workflow automation
- π¦ Boilerplate for Terraform β reusable IaC starter modules
- π€ Honing skill in Generative AI β deepening practical GenAI application skills
- π§ͺ Developing a QA automation suite using Selenium and Python
- π§ Experimenting with LLM deployment for enterprise use cases
- π‘ Integrating IoT sensor data with a real-time dashboard (Livewire + MQTT)
- π€ Collaborating with peers on an open-source Serverless infrastructure framework
| Project | Description |
|---|---|
| spartan-framework | The Spartan Serverless Framework β scaffold for building serverless apps on AWS with consistent structure |
| spartan-bogart | AWS variant of Spartan β APIs, Step Functions workflows, ETL pipelines, containerized microservices |
| spartan-lazaro | GCP variant of Spartan β structured serverless framework for scalable Python apps on Google Cloud Platform |
| spartan-orbit | Azure variant of Spartan β event-driven apps, workflows, and ETL pipelines |
| agnes | Farm/IoT management system tying together devices, sensors, locations, and real-time readings |
| microweaver-framework | Lightweight MicroPython scaffold for ESP32 and other microcontrollers |
| Category | Technologies & Tools |
|---|---|
| π Languages | Python, PHP, C++, JavaScript |
| π§© Frameworks | FastAPI, Laravel, NodeJS, React |
| βοΈ Cloud Platforms | AWS, Azure, GCP, DigitalOcean |
| ποΈ Databases | PostgreSQL, MySQL, MSSQL, DynamoDB |
| π€ AI/ML | Claude API, OpenAI, Agentic AI, LLM Integration |
| π DevOps & CI/CD | Azure DevOps, GitHub, GitLab, Bitbucket, Kubernetes, EKS, GKE, AKS, Knative, Terraform |
| π οΈ Other Tools | Jira, Confluence, Linux, IoT, Drone Tech, n8n, PCB Design |
I love building and experimenting with:
- π IoT Systems β for smart homes, farms, and offices
- π§ Computer Vision β bringing visual intelligence to apps
- π Drone Tech β integrating drones for practical solutions
- β¨ Generative AI β exploring creative automation
- π§ͺ QA Automation β designing test frameworks and automation pipelines for robust software delivery
- π PCB Design β exploring hardware design and electronics for embedded and IoT projects
- π Innovation-driven environments
- π§© Solving complex challenges
- π₯ Leading cross-functional teams
- π― Delivering meaningful tech solutions
- π§ Email: sydel.palinlin@gmail.com
- π LinkedIn: https://www.linkedin.com/in/sydel-palinlin
- π Location: Imus, Cavite, PH
Thanks for visiting my profile! β

