π§π»βπ»
Alex (Hyeonkyu Han) | AI-Native Full-Stack Engineer
Senior Tech Lead specializing in Healthcare, Pharma, and Insurance Domains Γ AI Agent Orchestration
"An End-to-End Problem Solver bridging Production Multi-Agent Systems with High-Performance Backend Architectures"
π‘ Core Strengths & Value Propositionβ
π§ Agent Orchestration & Tech Management
Proven track record as a PM in decomposing complex projects into manageable tasks. I leverage this exact skillset to define AI Agent Skills and orchestrate complex autonomous workflows (LangGraph/OpenAI) seamlessly.
β‘ High-Performance Architecture
Expert in designing highly scalable, distributed architectures. Successfully reduced heavy data crawling latency from 17 hours to just under 5 minutes by leading a structural migration using Go (Fiber+Asynq).
π° Cost & Process Optimization
Committed to maximizing business ROI by optimizing redundant cloud resources and manual ETL processes, effectively reducing infrastructure maintenance cost and operational man-hours by over 85%.
𧬠Healthcare & Domain Expertise
Deep domain knowledge in Healthcare, Pharma, and Insurance. Highly capable of architecting massive data pipelines that strictly comply with stringent global security audits and regulations.
π― Tech Stack (Production Ready)β
AI / ML
LangGraphLangChainOpenAI/GeminivLLMTorchHuggingFaceWeaviateChromaBackend
Go FiberAsynqRedisPostgreSQLNestJSFastAPIExpressJSCeleryDevOps / Data
K8sGCP / AzureTerraformArgoCDAirflowDatabricksPowerBISpotfireIntroduce.
From early-stage startup developer to the core PM at an InsurTech unicorn, and currently the Pipeline Tech Lead at the world's leading healthcare big data platform, I am a Senior Tech Lead who has dynamically managed business growth. I am driven by the fundamental question: "Does this architecture meet the business goals and significantly improve the operational efficiency of the entire team?"
π Hands-on Tech Leadership & E2E Ownership
I am an actively hands-on leader capable of breaking through the toughest technical challenges, such as large-scale migrations and security architectures. However, I equally prioritize resource allocation, stakeholder communication, and cultivating a modern engineering culture to enhance overall team productivity.
π€ AI Task Management & Workflow Orchestration
I specialize in breaking down complex human tasks into discrete micro-units (Skills). By bridging my project management background into AI development, I confidently assign roles to distinct AI agents and seamlessly orchestrate them within advanced workflows (e.g., LangGraph). I establish the standards for highly productive, real-world Autonomous Data Pipelines.
π§ Problem Solving & DevSecOps
I proactively re-engineer bottlenecks and human-error prone areas. I have successfully integrated Airflow and distributed message queues into legacy manual environments, reducing process time by 85%. Furthermore, I led the implementation of an enterprise-level Zero-Trust DevSecOps architecture, enforcing rigorous security-by-default deployment practices.
π Key Business Impactsβ
| Project Domain | Legacy State | Modernized State | Business Impact |
|---|---|---|---|
| Medical ETL Pipeline | Single-thread crawler (17 hours) | Go + Asynq Distributed Queueing | 99.5% Time Reduced (< 5 mins) |
| SaaS CRM Platform | Isolated setup per client (5 months) | Multi-Tenant Autoprovisioning | 100x Speedup (Deployed in 1 day) |
| Data Verification | Manual processing by 2 analysts | Airflow Automated Pipeline | 85% Drop in Ops Costs & Error Rate |
| Insurance AI Engine | Legacy Combination Algo O(N^3) | Condition Filters + ML Modeling | 40x Latency Improvement |
π Highlighted Projectsβ
Enterprise DevSecOps Pipeline & Zero-Trust Cloud Architecture
π 2026.01 ~ 2026.04 (Continuous)
πΌ Cloud Architect & DevSecOps Manager
#GitLab CI/CD #DevSecOps #Azure #Terraform #Zero-Trust #Security Audit
β νλ‘μ νΈ μμ½
**[Problem & Challenge]**
In preparation for an upcoming global security audit (July), our organization urgently needed to resolve critical vulnerabilities identified in Pen-Tests and modernize the legacy cloud infrastructure that posed severe risks.**[Strategy]**
I led the architectural shift towards a 'Zero-Trust' design for all network access and CI/CD lifecycles. By integrating automated vulnerability scanning (SAST/DAST) directly into GitLab pipelines, I established a robust, company-wide DevSecOps ecosystem.
In preparation for an upcoming global security audit (July), our organization urgently needed to resolve critical vulnerabilities identified in Pen-Tests and modernize the legacy cloud infrastructure that posed severe risks.**[Strategy]**
I led the architectural shift towards a 'Zero-Trust' design for all network access and CI/CD lifecycles. By integrating automated vulnerability scanning (SAST/DAST) directly into GitLab pipelines, I established a robust, company-wide DevSecOps ecosystem.
π§ μ£Όμ κΈ°μ¬ & μ±κ³Ό
Zero-Trust Cloud Architecture & Infrastructure as Code (IaC)
- Architected a Hub & Spoke network topology with Azure Firewall to enable centralized traffic inspection and rigorously isolate outbound routings via NSG policies.
- Enforced a strict No Public IP environment by configuring Azure Application Gateways, Private Endpoints, and integrated Web Application Firewalls (WAF) to defend against malicious traffic.
- Introduced Azure Key Vault for robust secret management, strictly decoupling application credentials from any codebases.
- Deployed custom virtual network-bound private GitLab Runners to physically eliminate external CI/CD exposure risks.
- Adopted Terraform (IaC) to prevent misconfigurations and maintain state-driven, version-controlled cloud infrastructure deployments.
DevSecOps & Automated CI/CD Workflows
- Dev Phase: Mandated automated scanning for DS, SAST, SD, CS, and DAST on every push event, blocking unverified deployments.
- Test Phase: Streamlined Continuous Integration by auto-deploying to an internal QA subnet.
- Prod Phase: Implemented a 3-Tier deployment strategy where production releases required manual triggers post-technical approval.
- Resolved 100% of newly exposed Pen-Test infrastructure vulnerabilities prior to deadlines.
Legacy Code Modernization & Global Compliance
- Proactively refactored obsolete CoffeeScript/Angular bases into modern TypeScript React stacks.
- Managed major version upgrades for internal NuxtJS properties and Scala PlayFramework services to patch known security flaws.
- Successfully passed the rigorous global technical approval guidelines (TDC & TDA).
π νλ‘μ νΈ ν©νΈ μ±κ³Ό
- **Stable Enterprise Architecture:** Elevated the internal infrastructure to gracefully comply with rigid global security audits.
- **Security-First Culture:** Enforced an automated pre-deployment gateway, significantly reducing human-errors and runtime vulnerabilities.
π‘ νκ³
"Security is not a feature; it's the backbone of architecture." This project heavily exemplifies my philosophy. Rebuilding complex networks and leading legacy migrations while satisfying intense global audit requirements was a profoundly rewarding experience of establishing scalable DevSecOps engineering standards.
SaaS Transformation for Healthcare CRM Platform
π 2025.10 ~ 2026.04
πΌ PM & Full-Stack Tech Lead
#React #NextJS #ExpressJS #PostgreSQL #SaaS #Multi-Tenant Architect
β νλ‘μ νΈ μμ½
**[Problem & Challenge]**
Our previous workflow required manually building an isolated CRM app for every new pharmaceutical client, taking an average of 5 months per delivery. Fragmented infrastructure completely blocked any scalability.**[Strategy]**
To solve this bottleneck, I conceptualized and spearheaded the transition into a Multi-Tenant SaaS platform, shifting the paradigm from 'developing features' to 'injecting configurations', enabling automated CRM provisioning with a few clicks.
Our previous workflow required manually building an isolated CRM app for every new pharmaceutical client, taking an average of 5 months per delivery. Fragmented infrastructure completely blocked any scalability.**[Strategy]**
To solve this bottleneck, I conceptualized and spearheaded the transition into a Multi-Tenant SaaS platform, shifting the paradigm from 'developing features' to 'injecting configurations', enabling automated CRM provisioning with a few clicks.
π§ μ£Όμ κΈ°μ¬ & μ±κ³Ό
System Architecture (Dynamic Rendering & SaaS)
- Abstracted healthcare domain complexities into an elegant Config-driven architecture.
- Enhanced the backend and frontend engines to dynamically render UI layouts, models, and business logic instantly upon config injection.
Implementation (CRM Auto-Provisioning Web Portal)
- Developed an Admin portal that instantly assigns data schemas and access routing templates whenever a new client organization is created.
- Designed a Zero-Code environment allowing non-technical teams (Sales/Ops) to set up and launch full demo environments without any dev intervention.
π νλ‘μ νΈ ν©νΈ μ±κ³Ό
- **Delivery Time Plunged:** Reduced new CRM setup duration from 5 months to less than 1 day.
- **Drastic Maintenance Drop:** Consolidated fragmented legacy bases into a single core engine, massively reducing code-managing overhead.
- Empowered sales teams to instantly control live demos, accelerating client contracting cycles.
π‘ νκ³
Pivoting a hard-coded solution into a Multi-Tenant SaaS platform was a pivotal architectural decision. It was an exceptionally strategic project where engineering efficiency directly impacted and transformed the company's B2B sales model.
Unified Data Workflow & High-Performance Scraping Platform
π 2025.10 ~ 2026.05
πΌ Data Engineering & Full-Stack Lead
#Go #Fiber #Asynq #Python #Databricks #Airflow #Celery #ETL Pipeline
β νλ‘μ νΈ μμ½
**[Problem & Challenge]**
Public medical and pharmaceutical data was being gathered through scattered manual verifications, resulting in frequent data loss and critical human errors.**[Strategy]**
I abolished the legacy decentralized approach and established a centralized, high-performance data pipeline leveraging Go-based crawlers and Airflow, funneling everything into an organized Data Catalog Portal.
Public medical and pharmaceutical data was being gathered through scattered manual verifications, resulting in frequent data loss and critical human errors.**[Strategy]**
I abolished the legacy decentralized approach and established a centralized, high-performance data pipeline leveraging Go-based crawlers and Airflow, funneling everything into an organized Data Catalog Portal.
π§ μ£Όμ κΈ°μ¬ & μ±κ³Ό
High-Performance Distributed Crawlers
- Deployed Python (Selenium/Celery) crawlers for dynamically rendered pages, while assigning high-velocity scraping streams to lightweight Go (Fiber) + Asynq worker queues.
- Embedded strong concurrency management and automated Retry mechanisms to guarantee data integrity.
Airflow Orchestration & Databricks Integration
- Orchestrated the entire lifecycle (Crawling β Transform β Validation β Load) through Airflow DAGs, ensuring total operational transparency.
- Standardized disparate data via Databricks cleansing models, perfectly relating external sets to internal proprietary database structures.
Data Dissemination (API Portal Launch)
- Architected an internal API Data Portal application, empowering non-technical stakeholders to independently query and export cleansed data from the unified Data Lake.
π νλ‘μ νΈ ν©νΈ μ±κ³Ό
- Completely replaced manual verification cycles with automated, error-free pipelines.
- Unified isolated domain data into a single, cohesive Data Lake Catalogue.
π‘ νκ³
Covering the entire Data Lifecycleβfrom engineering the core ingestion backend and ETL pipelines to building the end-user API delivery web appβproves my ability to successfully manage end-to-end data-intensive products.
Massive Task Scheduler Backend Optimization
π 2024.07 ~ 2024.10
πΌ Full-Stack Developer & Backend Optimizer
#Go #Asynq #Redis #Postgres #NextJS #Auto-Scaling Worker
β νλ‘μ νΈ μμ½
**[Problem & Challenge]**
The legacy Scala/Play framework stack was severely bottlenecking the daily batch jobs, consuming up to 17 agonizing hours to process pharma licensing data.**[Strategy]**
Rather than applying a temporary patch, I executed a complete architectural migration, replacing the backend engine with an ultra-fast Go (Fiber) environment integrated with Redis-backed Asynq asynchronous queues.
The legacy Scala/Play framework stack was severely bottlenecking the daily batch jobs, consuming up to 17 agonizing hours to process pharma licensing data.**[Strategy]**
Rather than applying a temporary patch, I executed a complete architectural migration, replacing the backend engine with an ultra-fast Go (Fiber) environment integrated with Redis-backed Asynq asynchronous queues.
π§ μ£Όμ κΈ°μ¬ & μ±κ³Ό
Distributed Auto-Scaling Scheduler
- Overcame I/O chokepoints by writing lightweight Go-based worker logic.
- Designed a system that dynamically monitors Pending Queues, allowing worker nodes to instantly Scale Out and absorb heavy loads.
Database Relocation and Schema Restructuring
- Migrated massive legacy metadata structures heavily tied to MySQL stored procedures over to a clean PostgreSQL ecosystem.
- Restructured DB schemas to drastically minimize table dead-locks during highly concurrent inserts.
Admin Dashboard Modernization
- Modernized the Admin viewer relying on outdated templates into a sleek, responsive Next.js application.
π νλ‘μ νΈ ν©νΈ μ±κ³Ό
- **Mind-Blowing ETL Optimization:** Accelerated daily batch ingestion from 17 hours down to a mere 5 minutes.
- Eliminated idle cloud resource wastage via auto-scaling, driving infrastructure downtime practically to 0%.
π‘ νκ³
This complex restructuring served as a prime directive that "sometimes the smartest solution isn't patching the legacy, but bravely evolving the architecture." Seeing the extreme leap in business metrics solidified my approach to infrastructure engineering.
π Professional Work Historyβ
νκ΅μμ΄νλΉμμ루μ μ€ (IQVIA Korea)
IQVIA is the world's leading provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. I lead Full-Stack SaaS Platforms and manage AI & Data Engineering Infrastructures.
Manager / Tech Lead
Global IT Audit & DevOps Security Standardization
Cloud Infra & Security Ops
2026.01 ~ 2026.04
- Enforced automated CI/CD infrastructures via GitLab on Azure in strict compliance with Global Security Guidelines.
- Deployed serverless architectures to strengthen cost-efficient cloud defensibility.
[Lead] Global Healthcare CRM SaaS Migration
PM & Full-Stack
2025.10 ~ 2026.04
- Managed the complete migration of client instances into a unified Multi-Tenant SaaS platform, controlled entirely via dynamic configurations.
- Accelerated CRM rollout durations to a single day by applying Zero-Code principles on the internal admin UI.
[Lead] Public Data Crawling Pipeline & Data Portal
Data Engineering Lead
2025.10 ~ 2026.04
- Architected a massive 100% automated data-gathering pipeline utilizing distributed Go and Python crawlers.
- Managed large-scale Data Lakes driven by Airflow & Databricks environments and launched a unified API Catalogue web portal.
Enterprise AI Agent RAG Solutions
AI Engineering & Data Ops
2025.01 ~ 2026.04
- Designed and rolled out internal RAG AI services using PgVector, Langchain, and OpenAI models.
- Served FastAPI inference endpoints and configured cloud dashboards integrating Spotfire & PowerBI.
Distributed Scheduler Backend Optimization
Full-Stack Developer
2024.07 ~ 2025.08
- Re-engineered critical batch pipelines to dramatically lower computing latency from 17 hrs to < 5 mins using Go and Asynq.
- Orchestrated independent dev/prod server environments using Nginx, Jenkins, and KT Cloud.
Aijinet (InsurTech Platform 'Bodoc')
An InsurTech Series-C Unicorn boasting a 99% retention rate and surpassing 300 Billion KRW in cumulative brokerage volume.
Tech Lead (Pro) / Data Platform Cell
B2B Auto-Billing SaaS Solution
Backend Engineer
2022.02 ~ 2022.05
- Circumvented unreliable 3rd-party billers by actively developing an in-house Go-powered Auto-PDF mapping engine.
- Reduced brokerage costs by deploying independent Fax/Mail delivery pipelines.
Insurance Diagnostic Core AI Engine (v2 ~ v4)
PM & Backend Engineer
2020.11 ~ 2022.09
- Incorporated 3-Class ML models based on Sklearn Logistic Regression to analyze personalized credit information.
- Pioneered a filtering-strategy parameter algorithm to bypass strict O(N^3) barriers during combination processing.
- Protected production server stability by segregating database activity logging into out-of-band ElasticSearch & GCP BigQuery clusters.
Hybrid App CRM Monitoring Enhancement
Full-Stack Engineer
2019.11 ~ 2020.03
- Developed business tracking logics using deep-links to augment client retention metrics.
- Assisted in refactoring legacy codebases into modern React architectures.
Early Stage Medical Data Engineering & Backend Consolidation
Backend / Data Engineer
Health Diagnostic Data Validation Platform
PM & Full-Stack
2019.08 ~ 2019.10
- Built comprehensive Python OCR text extraction tools to digitize physical health inspection sheets.
Backend Infrastructure Architecture Support
Backend Developer
2018.12 ~ 2019.07
- Performed technical debt migrations adopting ReactJS and ExpressJS frameworks.
π Freelancer & Side Projects
8am (B2C & B2B Match Platform)
Lead Freelancer
Web Service Refactoring & CI/CD
PM & Full-Stack Architect
2025.08 ~ 2025.10
- Designed a scalable NestJS/NextJS matchmaking platform for contractors and clients.
- Orchestrated robust production environments via AWS & Docker pipelines.
Mobile Application Lead
Senior Wellness Tracking Engine
App Developer
2025.07 ~ 2025.09
- Released native Flutter apps heavily relying on BLE data sync protocols.
- Quantified patient activity by compiling raw 3-axis gyro/accelerometer sensory data.
Grablo (No-code IoT Controller Builder)
Lead Architect Freelancer
Global No-Code Cloud Infra Stabilization
PM & Full-Stack
2023.12 ~ 2026.01
- Enabled zero-downtime migrations into Google Cloud Platform (GKE).
- Consulted on optimizing GraphQL payloads to handle global request loads reliably.
Full-Stack Developer
QR Wedding Gift Service Prototyping
PM & Full-Stack
2022.05 ~ 2023.05
- Participated across the entire design lifecycle (Figma) down to releasing the SvelteJS/Flutter UI.
- Secured Oracle Cloud backend allocations.
Full-Stack Engineer
API Optimization & Admin Toolkit
PM & Full-Stack
2022.08 ~ 2022.12
- Refactored NestJS API endpoints from older codebase instances and configured extensive Swagger Docs.
- Integrated comprehensive Retool dashboards for internal managers.
Frontend Engineer
Admin Web Component Integration
Frontend
2021.08 ~ 2021.12
- Collaborated on shaping internal React platforms used for publisher/game supply management.
π οΈ Skills & Tools (Production Proven)
Listed below are primary architectures and stacks utilized safely through Production Environments.
AI / LLM Engineering
LangGraph β’ LangChain β’ OpenAI o1/Gemini 2.0 β’ LlamaIndex β’ Torch β’ HuggingFace β’ Transformers β’ QLoRA β’ vLLM
Backend & Distributed Systems
Go (Fiber, Asynq, GORM) β’ NodeJS (NestJS, Express, BullMQ) β’ Python (FastAPI, Django, Celery)
Frontend & App
NextJS 15 β’ React β’ TypeScript β’ Flutter β’ TailwindCSS β’ Shadcn/UI
Data & MLOps
Airflow β’ Pandas β’ Spotfire β’ PowerBI β’ PostgreSQL β’ Redis β’ Elasticsearch
Cloud & DevOps
GCP (GKE, Cloud Run, BigQuery) β’ AWS β’ Azure β’ Kubernetes β’ Terraform β’ Jenkins β’ ArgoCD
Summary & Next Stepβ
"An engineer who designs systems where code efficiency translates directly into business growth value."
I highly prioritize the Single Responsibility Principle, robust testing, and clean CI/CD container cultures. I have consistently demonstrated tangible impacts bridging AI models and complex business pipelines in Healthcare and InsurTech. If you are looking for a reliable technical leader to shape out Agentic Workflows and drastically boost your team's engineering velocity, I am fully prepared.