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Dmitry Selikhov
Chief Technology Officer at Cheap Hotels Hub
Brooklyn, United States
With a Master’s in Mathematics and Computer Science, an MBA, and 15+ years in startups and enterprises, I lead products from concept to launch, managing teams up to 100. I bring expertise across WEB2 and WEB3, specializing in JavaScript/TypeScript (React, Next.js, Vue) and back-end systems (Node.js, Go, Rust) with architectures on AWS, Azure, and Google Cloud.
CodersRank Score
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This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
183.3
CodersRank Rank
Top 4%
Based on:
1 events
Highest experience points: 0 points,
0 activities in the last year
JSON
52.9
exp.
JavaScript
38.7
exp.
TypeScript
39
exp.
SCSS
16.3
exp.
Vue
11.1
exp.
HTML
9.6
exp.
List your work history, including any contracts or internships
Cheap Hotels Hub
Aug 2023 - Present (1 year 3 months)
Chief Technology Officer
Chief Technology Officer
Super Studios Inc.
Mar 2023 - Present (1 year 8 months)
Senior Full Stack Developer
🚩 Created Vue/Nuxt.js/Pinia/JavaScript/TypeScript responsive HTML5/CSS3 website https://superstudios.io/
🚩 Created Vue/Nuxt.js/Pinia/JavaScript/TypeScript responsive HTML5/CSS3 website https://superverse.cool/
🚩 Worked on the NFT platform https://impostors.gg/
🚩 Worked on the OpenSea competitor https://gigamart.com/ - technical solutions, improvements, features.
🚩 Handled 0-1 implementations, features.
🚩 Created Vue/Nuxt.js/Pinia/JavaScript/TypeScript responsive HTML5/CSS3 website https://superverse.cool/
🚩 Worked on the NFT platform https://impostors.gg/
🚩 Worked on the OpenSea competitor https://gigamart.com/ - technical solutions, improvements, features.
🚩 Handled 0-1 implementations, features.
University of Miami
Aug 2022 - Mar 2023 (7 months)
Lead Software Engineer
🚩 Led the development and implementation of a cutting-edge software solution for a cancer research project, leveraging advanced technologies and algorithms to analyze and interpret medical data.
🚩 Designed and implemented data processing pipelines and algorithms to handle large-scale genomic and clinical data sets, facilitating data integration and analysis for cancer research purposes.
🚩 Collaborated with domain experts and researchers to understand their requirements and translate them into software solutions that support data-driven decision-making in cancer research and development.
🚩 Developed machine learning models and implemented predictive analytics algorithms to identify patterns, markers, and potential treatments for different types of cancers, contributing to advancements in personalized medicine.
🚩 Integrated with medical diagnostics systems, medical devices, and imaging centers to seamlessly retrieve and process patient data, enabling comprehensive analysis and correlation with research findings.
🚩 Ensured data security and privacy by implementing robust encryption mechanisms, access controls, and compliance with HIPAA and other relevant regulations in the healthcare and research domains.
🚩 Implemented scalable and efficient data storage and retrieval mechanisms using databases and cloud-based solutions, enabling rapid access to critical information and facilitating collaboration among researchers.
🚩 Collaborated with medical specialists and experts to develop user-friendly interfaces and visualization tools that enable intuitive exploration and interpretation of complex medical and genomic data.
🚩 Rolled out automated data quality checks and validation processes to ensure the accuracy and integrity of the research data, enabling reliable and reproducible results in cancer research studies.
🚩 Stayed up-to-date with the latest advancements in cancer research, medical technologies, and software engineering practices.
🚩 Designed and implemented data processing pipelines and algorithms to handle large-scale genomic and clinical data sets, facilitating data integration and analysis for cancer research purposes.
🚩 Collaborated with domain experts and researchers to understand their requirements and translate them into software solutions that support data-driven decision-making in cancer research and development.
🚩 Developed machine learning models and implemented predictive analytics algorithms to identify patterns, markers, and potential treatments for different types of cancers, contributing to advancements in personalized medicine.
🚩 Integrated with medical diagnostics systems, medical devices, and imaging centers to seamlessly retrieve and process patient data, enabling comprehensive analysis and correlation with research findings.
🚩 Ensured data security and privacy by implementing robust encryption mechanisms, access controls, and compliance with HIPAA and other relevant regulations in the healthcare and research domains.
🚩 Implemented scalable and efficient data storage and retrieval mechanisms using databases and cloud-based solutions, enabling rapid access to critical information and facilitating collaboration among researchers.
🚩 Collaborated with medical specialists and experts to develop user-friendly interfaces and visualization tools that enable intuitive exploration and interpretation of complex medical and genomic data.
🚩 Rolled out automated data quality checks and validation processes to ensure the accuracy and integrity of the research data, enabling reliable and reproducible results in cancer research studies.
🚩 Stayed up-to-date with the latest advancements in cancer research, medical technologies, and software engineering practices.
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