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Schedule Interview NowMy name is Sadjy S. and I have over 7 years of experience in the tech industry. I specialize in the following technologies: Penetration Testing, System Administration, Google Cloud Platform, Amazon Web Services, Terraform, etc.. I hold a degree in Engineer's degree, Master of Computer Science (MSCS). Some of the notable projects I’ve worked on include: Magpie - Multi-Agent Research and Email Outreach Automation, Scrapedin - Human-like Linkedin Automation, AI Engineering - Chip Huyen, Fluent Python - Luciano Ramalho, Multi-AZ and Multi-Regions Hashicorp Stack (Consul/Nomad/Vault) on AWS. I am based in Seoul, South Korea. I've successfully completed 5 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
7 years
4 Years
4 Years
3 Years
Potentially possible
Naver
Magpie is an intelligent, multi-agent application designed to automate personalized email outreach. It streamlines the process of identifying and contacting potential leads by researching companies, finding contact information, and drafting tailored emails.
Human-like browser-based Linkedin automation library.l
End-to-end playbook for shipping dependable, cost-efficient AI apps: evaluation-first, RAG/guardrails, smart routing, minimal fine-tuning, and production-grade monitoring.
Pythonic, type-safe, memory-aware code: the right containers, clean iteration, solid text/bytes handling, and concurrency that matches the workload.
Multi-AZ (cycling) and Single Region Nomad + Consul cluster (Consul Servers + Nomad Servers + Nomad Clients) Static numbers of servers. ASG groups for every "type" of server with min = max Automatic federation of Consul cluster via EC2 tags Load balancers for every "server type" + fabio
Engineer's degree in Systems and Networking
2013-01-01-2015-01-01
Master of Computer Science (MSCS) in Networking and Systems
2013-01-01-2015-01-01