About
A third-year software engineering student building durable backend systems, cloud delivery paths, and high-ownership engineering leverage.
What I optimize for
I optimize for teams where code quality, diagnosis depth, and delivery ownership matter at the same time. The work I enjoy most sits at the intersection of enterprise defects, algorithm-heavy backend systems, and operationally reliable products.
Recent proof points
NETAS internship: 25 commits and 1,550 lines of code and tests across four Jira tickets on a production Java microservices platform.
Timezone investigation: proved a silent UTC vs UTC+3 mismatch with YAML and ELK analysis, then documented the fix path with 600+ lines of tests.
IEEE Isik and AdaLab: combine 35+ technical events, 1,100+ student reach, and ongoing AI/data analytics research support.
Cross-domain adaptation: moved between enterprise software, architecture project coordination, mentoring, and defense-tech delivery without losing execution quality.
Delivery with scale
active users reached
Desktop deployment of IsikSchedule
lines of code and tests
NETAS production contributions
technical events delivered
IEEE Isik leadership and coordination
Layers I ship across
Backend and architecture
Production-facing APIs, enterprise Java services, and clean system boundaries.
Cloud, observability, and delivery
Deploy, diagnose, and stabilize distributed systems with quality gates.
Product and interface layer
Enough frontend fluency to ship end-to-end products without losing system quality.
Testing and automation
Test-first debugging, structured quality gates, and reliable delivery pipelines.
Research and AI-native tooling
Agentic systems, LLM workflows, and algorithm-heavy problem solving.