Chandula Karunathilake

Farvard University, PhD in Computer Science

Mar. 2019 - Aug. 2023

• Design 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. 2016

• Development 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. 2014

GPA: 3.9/4.3

Nanosoft

Jan. 2024 - Ongoing

Project Manager

• Led development of a new chatbot software utilizing large language model

• Co-designer of ‘Kopilot’ and ‘Gemmini’

Amazone

Apr. 2016 - Dec. 2018

Senior 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. 2013

Software Engineer Intern

• Designed the dynamic website using React for data visualization

• Integrated ‘Yolo’ to boost the accuracy of the object detection

• Chatbot developed based on a large language model

• Designed Generative algorithm to generate novel human-like content

• Technology Used: Rust, Typescript, Python, Ruby

• 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

• Machine learning library for applications such as computer vision and natural language processing

• Technology Used: Python, Cuda, Objective-C++

• [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.

• [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.

IEEEE Fellow

Feb. 2024

Association for Natural Language Processing

Gogle CodeJam

Jul. 2013

3rd place in Gogle CodeJam

Millennium Hackaton

Oct. 2010

won the best Inspirational Youth Awards