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Mr. Keet Sugathadasa

Site Reliability Engineer at Biza.io

BSc Eng. (Hons) (Moratuwa)

keetmalin.13@cse.mrt.ac.lk

I am a Software Engineer and Site Reliability Engineer with experience in building and leading engineering teams with high velocity. Strong areas of interest and my current experience include Algorithms, Data Structures, Kubernetes, Terraform, Networking, Databases, and the AWS Stack. As a Software Engineer, I am very fluent in Python, Java, and Javascript.
As a Site Reliability Engineer, I have experience in building and leading SRE teams in Europe, the US, and Asia, working with distributed teams. I'm in line with all SRE processes according to the Google SRE Book, including but not limited to SLOs, SLAs, Error Budgets, Toil, Observability, Distributed Tracing, Chaos Engineering, Logging, Monitoring, Release Engineering, High Severity Incident Management, Process Automation, and Release Engineering. I have experience in working with both Engineering teams and the management in decision-making for feature delivery vs. reliability fixes.
I also love building software tools that help solve/automate problems and contributing to Open Source projects. Also love writing technical articles in my blog to share knowledge and experience.

Blog: https://keetmalin.medium.com/
Github Link: https://github.com/Keetmalin
NPM publications: https://www.npmjs.com/package/react-metric-card

At college, I was the Valedictorian and Most Outstanding Student of Faculty of Engineering and was awarded the Best ICT Student of the Year in Sri Lanka.

Publications

Theses: BSc

Vindula Jayawardana, Keet Sugathadasa, Dimuthu Lakmal, and Buddhi Rathnayake, "Ontology-Based Legal Information Extraction", University of Moratuwa, 2018

Journal Papers

Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, Buddhi Ayesha, and Madhavi Perera, "Word Vector Embeddings and Domain Specific Semantic based Semi-Supervised Ontology Instance Population", International Journal on Advances in ICT for Emerging Regions, vol. 10, no. 1, pp. 1, 2017. doi: 10.4038/icter.v11i1.7191

Conference Papers

Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, and Madhavi Perera, "Legal Document Retrieval using Document Vector Embeddings and Deep Learning", in Science and information conference, 2018, pp. 160--175. doi: 10.1007/978-3-030-01177-2_12
Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, and Madhavi Perera, "Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity", in 2017 IEEE International Conference on Industrial and Information Systems (ICIIS), 2017, pp. 1--6. doi: 10.1109/ICIINFS.2017.8300343
Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, Buddhi Ayesha, and Madhavi Perera, "Semi-Supervised Instance Population of an Ontology using Word Vector Embedding", in 2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer), 2017, pp. 1--7. doi: 10.1109/icter.2017.8257822
Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, and Buddhi Ayesha, "Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings", in 2017 Seventh International Conference on Innovative Computing Technology (INTECH), 2017, pp. 79--84. doi: 10.1109/intech.2017.8102426

Projects

SigmaLaw

PI: Nisansa de Silva

This project delves into the synergy between Natural Language Processing (NLP) and the legal domain, presenting novel solutions to enduring challenges.