- Engineered microservices for the Harmony project using Python and FastAPI, contributing to a platform managing over 300,000 products across 11 marketplaces. - Initiated and led the development of the ‘Product’ microservice, impacting 10,000 monthly active users and generating monthly sales of $1 million USD, marking a key contribution to the platform's scalability and financial success. - Managed a team of developers, enhancing sprint efficiency by 20% through effective task alignment, tracking, and facilitating weekly scrum discussions. This effort improved overall team productivity and project alignment with business goals. - Implemented Domain-Driven Design (DDD) principles, achieving a 30% reduction in code complexity and maintenance costs, thereby enhancing code quality and long-term project sustainability. - Applied Event-Driven Architecture with Redis and AWS SNS/SQS, improving system responsiveness and scalability by 25%. This architectural change resulted in more efficient handling of internal and external service events. - Optimized listing API performance, achieving a 50% reduction in response times by implementing materialized views with SQL, thus addressing significant bottlenecks in loading nested relationship models. - Improved slow queries by 100%, resolving N+1 query problems, which significantly enhanced database performance and user experience. - Developed the ‘LGE Concierge Solution’ with Python and Django, a significant project for scheduling buyer visits to 'LG Best Shop Electronics', thereby improving customer engagement and scheduling efficiency. - Contributed to the development of the ‘ARABIZ RCS Smart Order Solution’ with Python and Django, a smart food product ordering and delivery solution through the Android RCS rich media messaging platform. Links: joinharmonycvm.com, shoppingeasy.co.kr, bmwjoymall.com, klifezone.co.kr, nongca.co.kr, u-zzim.com, kb-pay.travelflan.com, etc. Skills: Python; FastAPI, Django, asyncio, SQLAlchemy, asyncio, pytest-asyncio, mypy, flake, black, Pydantic, PostgreSQL, Redis, lambda, k8s, docker, SNS/SQS, TDD, DDD, MSA (Microservice Architecture)

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- Developing backend of NLP/NLU based chatbot builder and chatbot serving system (builder.xinapse.ai) - Developed web services, RESTful APIs; designed data models, data structures (MySQL, MongoDB, Redis) for new features - Managed, guided junior developers; actions taken: task assignment, code review, PRs review, code refactoring - Managed production servers on AWS (EC2, RDS, ElastiCache, ELB, S3, EBS, etc.) - Implemented zero-cost production chatbot service status (status and warning when back-end service is down) verification and reporting service - Increased unit test coverage from 40% to 80% - Increased log coverage. Improved logging by categorizing logs into groups: by error, status codes - Performed stress tests, benchmarking of web services - Developed features which were highlighted and used to attract new clients and resulted in increased number of paying clients base by 5 times in 1 year period. Some of developed features: customizable drag-and-drop widgets for visual page, intent autocomplete suggestion by popularity, auto-intent, intent grouping, shared response, customizing system messages, intent message views (carousel, checkerboard, one-card) - Conducted technical and business meetings with overseas English speaking business partners - Developed public chatbot for South Korea 2020 General Assembly Election (bit.ly/38eHgHc) Skills: python; asyncio, aiohttp, api_hour, Django DRF, fastapi; Redis, MySQL, MongoDB, Apache Thrift, aws, boto3, gunicorn, nginx, panda, nltk, stanford nlp, konlpy, beautiful soup, requests, selenium, pytest

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- Video streaming services with Python and C++ - Restful API service with Python Flask - Maintaining Video streaming engine with C++, Intel Media SDK, ffmpeg (bflix.co.kr) - Desktop Applications with C# WPF - Face recognition/tracking features with OpenCV, dlib, C++, Python - Develop data preprocessing pipeline (tools, apis, configurations) to train face recognition Deep Learning models - Data persistence with MongoDB, MySQL

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