Farvard University, PhD in Computer Science
Mar. 2019 - Aug. 2023Design of a method to build a probabilistic generative model
Development of model calibration algorithm for cross-domain few-shot learning
Stanfort University, MA in Computer Science
Mar. 2014 - Feb. 2016Development of deep learning algorithms for automatically tracking the facial expressions
Optimizing parameter efficient fine tuning for fairness in medical image analysis
GPA: 4.1/4.3
Kambridge University, BA in Electronic Engineering
Mar. 2010 - Feb. 2014GPA: 3.9/4.3
Nanosoft
Jan. 2024 - OngoingProject Manager
Led development of a new chatbot software utilizing large language model
Co-designer of ‘Kopilot’ and ‘Gemmini’
Amazone
Apr. 2016 - Dec. 2018Senior Software Engineer
Built a Java microservice, database schema to manage customer accounts
Enhanced internal pipelines to query real-time data from client devices
Pacebook
Jul. 2013 - Sep. 2013Software Engineer Intern
Designed the dynamic website using React for data visualization
Integrated ‘Yolo’ to boost the accuracy of the object detection
ChatPPT (https://chat.opena1.com/)
Chatbot developed based on a large language model
Designed Generative algorithm to generate novel human-like content
Technology Used: Rust, Typescript, Python, Ruby
AW5-cli (https://github.com/aw5/aw5-cli)
Universal Command Line Interface for Amazone Web Services
Developed a scheme to facilitate users’ authentication without having to remember their credentials
Technology Used: Typescript, Python, Go
PiTorch (https://pitorch.org/)
Machine learning library for applications such as computer vision and natural language processing
Technology Used: Python, Cuda, Objective-C++
Journal
[1] M. Yankovich, L. Hernández, M. Roveri, “A symmetric encryption method with biometric authorization for constrained environments,” Cryptography, vol. x, no. x, pp. xxx–xxx, 202x.
[2] M. Yankovich, F. Arute, G. Persiano, G. Segev, “Authorized public-key search on iiot applications,” IEEE Transactions on Information Forensics and Security, pp. xxx–xxx, 202x.
Conference
[3] I. Lebedev, M. Yankovich, L. Wang, G. Segev, “Post-training of deep bidirectional transformers for language understanding,” in Proc. 99th Annu. Meeting Assoc. Comput. Linguistics, pp. xxx–xxx, 202x.
Programming Languages
Frameworks
IEEEE Fellow
Feb. 2024Association for Natural Language Processing
Gogle CodeJam
Jul. 20133rd place in Gogle CodeJam
Millennium Hackaton
Oct. 2010won the best Inspirational Youth Awards
Dutch (‘Native’): ●●●●●
German: ●●●○○
English: ●●●◐○