Hi, I'm Damian Sepczuk - Senior Software Engineer at Google
I am a software engineer captivated by the raw mechanics of low-level systems and AI. I thrive where code meets hardware, obsessing over optimization, code audits, and solving complex problems at the edge of capability.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Conducted academic research at the Chair of Artificial Intelligence at the Catholic University of Lublin.
Currently architecting complex, large-scale software solutions as a Senior Software Engineer at Google.
Offers deep technical expertise in reverse engineering, code optimization, and low-level system performance analysis.
🚀 Career trajectory
Academic Foundation
Spent early years as a research fellow exploring AI and logical programming paradigms.
✦ Research
✦ AI
✦ Academia
Hardware & Product Engineering
Transitioned to large-scale electronics manufacturing, bridging software design with hardware constraints.
✦ Engineering
✦ Embedded Systems
Global Scalability
Currently leading software engineering initiatives at a premier global technology firm.
✦ Large-Scale Systems
✦ Cloud
💪🏻 Superpowers
Systems Architecture Architect
Optimizing software performance through deep hardware-level understanding.
✦ Analyzes system-level bottlenecks to improve application throughput.
✦ Leverages expertise in assembly and C++ for memory-sensitive environments.
Algorithmic Research Specialist
Applying academic rigor to modern AI development challenges.
✦ Bridges theoretical AI models with production-grade engineering.
✦ Designs performant algorithms for complex data processing tasks.
Technical Forensic Auditor
Uncovering hidden inefficiencies through precise reverse engineering.
✦ Conducts deep-dive code audits to identify security and logic flaws.
✦ Translates low-level binaries into actionable performance improvements.
I'm excited about
✦ Exploring advanced AI research communities to stay at the cutting edge of computation.
✦ Connecting with systems architects to debate the future of low-level optimization.
✦ Finding collaborative environments that value rigorous technical depth over surface-level solutions.
I can help with
✦ Mentoring junior engineers on deep-dive code debugging and performance optimization techniques.
✦ Providing expert perspectives on bridging AI research with practical, scalable product development.
✦ Performing architectural reviews to help teams resolve complex system-level performance bottlenecks.
I would love your help on
✦ Navigating the landscape of emerging AI frameworks that prioritize raw computational efficiency.
✦ Identifying high-impact opportunities within startups that require deep-tech engineering leadership.
✦ Engaging with communities focused on open-source projects centered around kernel-level development.