Position: Cloud Architect
Category: Lead
English level: fluent
Years of experience: 9

Graduated from Computer Engineering with the 2nd highest degree and as an honor student with a 3.64/4 GPA.
I study MSc. Mechatronics Engineering.
I consistently get promoted without any missed performance evaluation.
40+ patents have been filed in several areas of expertise with my name in the inventor list. Please refer to my LinkedIn profile or search on a patent database (espacenet, google patents, etc.) for more details.
Zero downtime of our backend over past 4 years.
Team lead with 9 years of experience.
Working for the R&D department of a consumer electronics manufacturer (+15k employees).
Mainly focus on cloud architectures, infrastructure management, site reliability for large-scale IoT backends.

6 years of experience as a Cloud Architect in IoT - Big Data & AI team.
- Large scale data ingestion pipeline for collecting data from consumer devices such as: TV, White Goods (Refrigerator, Washing machine, Dishwasher, Oven, Air Conditioner), Wearable devices (Smart Wrist Band, Smart Watch), Healthcare devices (Smart scale, Sleep sensor)
- Data storage: BigQuery, Datastore/Firestore, Google Cloud Storage
- Data processing: DataFlow (Apache Beam, Java)
- Microservices: Google Cloud Functions, Google Cloud Run, Google App Engine
- Technologies: Containers (Docker, Podman), Terraform, Ansible,  Golang, Python, SQL, NoSQL

3 years of experience as an Embedded System Engineer:
- Platform engineering: Custom Linux distribution, Linux kernel compilation, Filesystem, System services, Cross-compiling
- Software development: Designing efficient system software, Resource-constrained environments
- Products: Smart Home Hub/Gateway, Set-Top-Box, TV
- Technologies: C++, GNU toolchain, High-end ARM and MIPS CPUs, Z-Wave, Network programming, TAP/TUN

Knowing the underlying technology at a low level helped me a lot with containers (Docker, Podman) and infrastructure management (VMs, VPCs, IaC) because of my close work with Linux systems.

I'm the technical lead of our small Big Data and AI team with 15 developers. The elective courses I took at the university, such as Pattern Recognition, Data Mining, Advanced Database Systems, and my passion for math and statistics paid the effort.

I'm a good fit for IoT projects because I understand all sides, cloud, big data, and device teams.
I strongly prefer remote work as the workspace shifts to it.
I do NOT use Windows for a working environment, and I do NOT work with AWS as the main provider. I do NOT work with trackers and want flexible hours.