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About

PhD-educated and results-oriented Software Engineer with over 8 years of experience in designing, developing, and deploying high-performance distributed systems and machine learning applications. Proven track record of leading projects, optimizing backend services for scalability, and contributing to the entire software development lifecycle. Complemented by a strong research background with 5 publications in peer-reviewed journals and conferences on topics including scalable algorithms and data-intensive computing.

Experience

Dec 1969 - Dec 1969

Senior Software Engineer

Innovatech Solutions

Sep 0000 - Dec 1969

Software Engineer

DataWeave Inc.

Dec 1969 - Dec 1969

Machine Learning Engineer

CogniCore AI (Startup)

Education

2011 - 2015

Doctor of Philosophy (PhD)

Stanford University

Computer Science

2009 - 2011

Master of Science

University of Illinois Urbana-Champaign

Computer Science

2005 - 2009

Bachelor of Science

University of Toronto

Computer Engineering

Publications

[1] Chen, A., et al., "A Framework for Massively Parallel Training of Deep Neural Networks," Proceedings of the International Conference on Machine Learning (ICML), vol. 1, pp. 213-223, Jan. 2017.

[2] Lee, S. &amp;amp; Chen, A., "Optimizing Distributed Hash Tables for Real-Time Anomaly Detection," Journal of Cloud Computing, vol. 110170, pp. 10-20, Jan. 2016.

[3] Chen, A. &amp;amp; Singh, R., "Lossless Compression Algorithms for Scientific Datasets," IEEE Transactions on Big Data, vol. 12, pp. 10-20, Jan. 2015.

[4] Zhang, W., Chen, A., &amp;amp; Kim, J., "Semantic Analysis of Short Texts in High-Velocity Streams," Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), vol. 2, pp. 13-23, Jan. 2014.

[5] Chen, A., "Scalable Indexing Structures for Multi-Dimensional Time-Series Data," Proceedings of the VLDB Endowment, vol. 3, pp. 15-25, Jan. 2013.

Skills

Languages: Python, Java, Go, C++, SQL, JavaScript, TypeScript 75%

Frameworks &amp; Libraries: Spring Boot, Django, Flask, React, Node.js, TensorFlow, PyTorch, Scikit-learn 88%

Databases: PostgreSQL, MongoDB, Redis, Cassandra, MySQL 50%

Tools &amp; Platforms: Docker, Kubernetes, Git, Jenkins, Terraform, Kafka, RabbitMQ 30%

Cloud &amp; DevOps: Amazon Web Services (AWS), Google Cloud Platform (GCP), CI/CD, Microservices Architecture, Agile &amp; Scrum Methodologies 100%

Languages

English Native

Turkish Advanced

Spanish Basic

Awards

Robocup

University of Florida

2023

Projects

sadasdas

2023 - 2023

Interests

Competitive Programming (TopCoder, LeetCode)

Open Source Contribution

Urban Hiking

Playing the Piano