Browse our talent pool

Since early childhood, I have been improving my knowledge in IT. When I encounter something previously unknown in my work, I study the topic as quickly as possible and complete the task. Laravel PHP is a good example: in just 3 months, I became able to write plugins and code without difficulty. I even contributed to the Azuriom open-source project. I am mostly self-taught: I read documentation and study how experienced people write things. Because of that, I may not always know the exact technical terms and may have only a basic level of knowledge in some areas, but I learn quickly and do not want to stand still.

Results-driven Licensed Civil Engineer and Financial Management - MBA candidate with six (6) years of experience across construction, structural design, cost estimation, and international bid/tender preparation. Experienced in supporting overseas infrastructure and plant project bids at a Korean EPC headquarters, with hands-on involvement in proposal coordination, commercial evaluation, subcontractor assessment, and bid compliance for direct-to-client and Export Credit Agency (ECA)–funded projects.

Full stack developer with 1 year of experience .I have depth knowledge of html ,css, javascript ,react, mongodb,firebase,nodejs,expressjs

Computer Science student pursuing a Master's degree at Polytech Lyon. I am passionate about IT and new technologies. Seeking a 20-week internship starting in September 2026.

15년 경력의 iOS 엔지니어링 리드이며 소프트웨어 엔지니어로, 레거시 중심 조직을 “확장 가능한 구조”로 전환하는데 강점을 가지고 있습니다. - 대규모 서비스(야놀자)에서 아키텍처 재설계 및 공통 프레임워크 구축 - 글로벌 조직(Education First)에서 실시간(WebRTC) 서비스 기술 리드 - 팀 생산성, 코드 품질, 배포 안정성을 동시에 개선하는 엔지니어링 시스템 구축 경험 단순 개발이 아닌, 팀이 더 빠르게, 안정적으로 개발할 수 있게 만드는 역할을 수행합니다.

Cornell MEng Computer Science (Machine Learning) candidate with a strong academic record at one of the nation's top-ranked CS programs, bringing hands-on experience building high-impact systems at scale across fintech, financial markets, and AI research. Designed and deployed a machine-learning search for one of America's largest banks (Capital One), allowing for 100% of the car loan process to be done through the website itself, and led a core trade-matching algorithm redesign at the world's largest options exchange (CME) supporting $100M+ in daily contracts. Independently architected a Two-Step GAN/Denoising Diffusion texture super-resolution model from scratch capable of upscaling legacy game assets to 4K while preserving the original art style's material fidelity across stone, wood, and cloth textures. Combines deep ML engineering expertise with a proven ability to deliver production-grade backend systems in fast-moving, high-stakes environments.

Ph.D. in Electrical and Computer Engineering with 6+ years of experience developing embedded systems, firmware, and real-time applications for AI-powered devices. Demonstrated expertise in MCU/SoC development, and hardware debugging through academic research projects. Strong technical foundation in signal processing and machine learning deployment on resource-constrained embedded systems. Eager to transition research experience into production-grade embedded development, contributing expertise in firmware, hardware integration, and AI systems.

Graphic Designer with experience in Adobe Creative Cloud, Figma, Davinci Resolve, and experience in public speaking

Detail-oriented Backend Engineer with 5 years of experience in building high-scale cloud services and AI-integrated platforms. Expert in Java, Spring Boot, and Kubernetes, with a strong track record of improving system reliability and engineering culture. Proven ability to design scalable architectures (Kafka, MongoDB) and lead initiatives for operational excellence. Certified Kubernetes Administrator (CKA).

I'm a driven and curious senior software engineer with a strong track record of designing and delivering high-quality, scalable software solutions. Passionate about learning new technologies, solving complex problems, and improving systems through thoughtful engineering practices. Strong communicator who collaborates effectively across teams and mentors others to improve technical quality and delivery.