y
yuna_l2

Yuna Lee

@yuna_l2

Experienced Backend Software Engineer with Proven Multi Project Portfolio

Corea del Sud
Coreano, Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
Java Backend Engineer | Spring Boot · MSA · REST API 7+ years in Financial IT & B2B/B2C platforms. What I've delivered: • Cut process time 50%+ → sales 30% to 70% • Eliminated 400+ monthly data inconsistencies → 0 • Query response 10x faster (2s → 0.2s) • Resolved service crashes via refactoring I find root causes, not quick patches. Full cycle: Requirements → Design → Dev → QA → Stabilization. Also led an AI-based insurance recommendation PoC. Available for Java backend, API development, bug fixes, and performance optimization. Feel free to message me before ordering.... Continua a leggere

Competenze

y
yuna_l2
Yuna Lee
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Applicazioni web full stack
I will fix and develop java spring boot, python rest API backend

Esperienza lavorativa

Java Backend Engineer

Life Insurance Company • Full time

Nov 2023 - Present2 yrs 6 mos

Responsible for the full cycle of development, operations, and stabilization of a life insurance Sales Force Automation (SFA) system and mobile subscription service. Key Achievements ▸ Mobile Subscription Stabilization & Sales Growth 1) Cut completion time by 50%+ → sales rate 30% → 70% (UX process redesign + tap-to-autofill input conversion) 2) Signature/name image error rate → 0% (OS/browser-specific case classification + pixel-check logic implementation) 3) Eliminated service crashes from mid-process drop-offs. Refactored multi I/O network call structure per event into a single-controller pattern — all processing handled server-side before client response. → Root cause of abnormal termination errors removed. ▸ SFA System Performance Improvement Analyzed Scripting/Rendering bottlenecks and server process delays. Collaborated with Infra, solution vendors, and business teams on caching and session strategy. Eliminated redundant multi-calls; shifted complex logic to server-side processing. → Response latency reduced; user drop-off decreased. ▸ Product Revision Management (Monthly) Built surrender value calculation logic based on actuarial documents; verified against reference data for 100% accuracy. → Zero deadline misses; stable operations assured. ▸ Insurance Design Logic Quality Improvement Identified root cause of errors in relationship rule selection step; refactored logic. → Input error frequency reduced; design efficiency improved. ▸ SFA Modernization Project IT Support (Multi-plan design · Coverage analysis) Documented AS-IS processes; provided technical review and dev/QA issue guidance. → On-time delivery supported. ▸ AI Insurance Plan Recommendation PoC (2024) Served as IT lead for AI-based plan recommendation PoC. Contributed to requirements review and technical direction.

Backed Engineer

B2B SaaS Platform (Loyalty & Messaging) • Full time

Oct 2022 - Nov 20231 yr 1 mo

Maintained B2B/B2C message delivery and payment services, focusing on reliability under high-traffic conditions. Key Achievement ▸ Resolved Large-Scale Campaign Message Failures → 0 Failures Diagnosed compound root causes behind recurring message drops and service interruptions during partner campaigns. - Queue bottleneck: Scaled from 1 → 5 parallel queues - Query performance: Removed redundant subqueries to speed up target extraction - Billing logic: Switched from per-item to batch-total processing → B2B operational reliability secured.

Java Backend Engineer

Life Insurance Company • Full time

Feb 2018 - Oct 20224 yrs 8 mos

Responsible for the full cycle of development, operations, and stabilization of a life insurance Sales Force Automation (SFA) system and financial accounting (IFRS) system for 4+ years. Key Achievements ▸ 400+ Monthly Data Inconsistencies → 0 Identified hardcoded org/position/performance codes as the root cause. Built a configurable code management table and admin UI. → Data correction tasks fully eliminated. ▸ Query Response Time: 2s → 0.2s Analyzed execution plans; identified Full Scan due to unused indexes. Applied Index Skip Scan. → Timeout issues resolved; system stability improved. ▸ Required Document Omission Rate → 0% Built nightly batch to cross-validate subscription IDs and document codes between systems, with auto-resubmission for missing files. → Document omissions fully eliminated. ▸ Corporate Card Partial Cancellation Support Analyzed unsupported partial cancellation structure; redesigned data model by adding per-transaction identifiers to enable partial cancellations. → Ops team manual workload reduced; user experience improved. ▸ IFRS9 Transition Support (2021–2022) Handled IFRS4 monthly close for individual/corporate loan loss provisioning. Supported IFRS9 migration requirements analysis and system adaptation.