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Backend-focused Full Stack Developer with 4+ years of experience building scalable web applications using Spring Boot, Node.js, and modern JavaScript frameworks (Angular, React). Skilled in microservices architecture, DevOps practices (Docker, Kubernetes, CI/CD), and distributed data solutions (PostgreSQL, MongoDB, Redis). I am passionate about clean code.

Machine learning engineer experienced in data-driven software development. 7+ years experience in AI. Technical leader with excellent communication and problem solving skills.

Experienced language and communication specialist with 8 years of dedicated experience in South Korea analyzing, refining, and adapting complex concepts into clear, natural English. Highly skilled in English localization, proofreading, and linguistic quality assurance. Proven track record of auditing written content for grammatical accuracy, tone consistency, and cultural adaptability for international audiences. Possesses a deep understanding of South Korea's professional landscape and a strong foundation in cross-cultural communication. Passionate about helping Korean tech startups adapt their products, web content, and user documentation for global markets.

• As an intern, I worked with Samba PLCs to provide control for automatic titration systems used in gold mines. • Then in my first position, I worked on electrical PCB design systems using reinforcement learning AI. • After moving to Korea, I transitioned to human-facing software, where customers could explore their printed-circuit board designs. • More recently, I explored embedded Linux and software in autonomous vehicles while working with BMW at Luxoft. Throughout my career, I have developed my personal and technical skills. • Working with people in person and remotely, • Understanding, communicating, and refining the requirements of the customer’s product, • Collaborating with stakeholders of different cultures, time-zones, and product-involvement (management and engineers), and • Mentoring juniors on best practices, technique, and communication. Being part of a passionate, productive team - built on trust and support - will continue to be the best part of being an engineer.

이미 만들어진 서비스를 다시 만드는 일을 반복해온 프론트엔드 개발자입니다. PHP로 구현된 페이지를 React로, 외주 JavaScript MVP를 TypeScript로, 외주 개발된 앱을 React Native로 각각 재개발했습니다. 재개발 과정에서는 이후 유지보수를 염두에 둔 선택을 해왔습니다. 주요 플로우에 E2E 테스트를 도입하거나, 디자인 토큰 반영을 자동화하는 식입니다.

Senior UI/UX Designer specializing in app and web-based B2B SaaS platforms. Experienced in writing feature specifications, and collaborating closely with engineering teams, while driving product direction through user research and data-based decision-making. Proven track record of delivering measurable business impact, including a 36% increase in LTV through rigorous, metric-based iterations.

대교·동아출판·교학사 등 국내 주요 교육 기업의 B2B 플랫폼부터 인플루언서 마케팅 SaaS, 인터랙티브 콘텐츠 서비스까지 6개 프로덕트의 프론트엔드를 담당했습니다. 저작도구의 상태 감지 구조를 Vue 반응성 기반으로 재설계해 입력 딜레이를 1초에서 0.5초 이하로 개선했고, 기술 부채로 유지보수 한계에 도달한 어드민을 Next.js App Router + TanStack Query/Zustand 구조로 전면 재설계했습니다. WCAG 기반 웹 접근성 표준 대응과 Storybook 디자인 시스템 구축 경험을 갖췄고, Claude Code·Cursor·Codex를 구현·리팩터링에 상시 활용하며 AI 기반 PR 리뷰 워크플로우를 팀에 도입하는 과정에 참여했습니다.

Recent Computer Science graduate from Rensselaer Polytechnic Institute (RPI) with a focus on backend and web development. I enjoy building things that work end to end and owning the whole stack behind them. Currently exploring software engineering opportunities where I can keep growing and contribute to a fast paced and collaborative team.

Results-driven Machine Learning Engineer with 4+ years of experience building and deploying deep learning–based recommendation systems for large-scale advertising platforms. I focus on developing business-driven ML solutions that maximize advertiser performance and DSP margins in real-time bidding (RTB) environments. My work centers on designing, training, and deploying production-grade models that continuously learn from large-scale RTB data. I combine deep learning engineering with data science to identify optimization opportunities, build end-to-end ML pipelines, and improve model performance at scale.

Final-year AI & Big Data student with hands-on experience across machine learning, computer vision and full-stack development. Comfortable taking a project from raw data through model training to a deployed, working product, including work on academic and industry-partnered projects. Strong foundation in Python, with practical experience in LLM applications, mobile development and cloud-based training environments. Fluent in English, Russian and Kyrgyz, currently based in South Korea.