Experience

(Aug 2022 - Present)

Explored novel approaches that leverage parallel and distributed computing architectures to achieve faster and more scalable graph processing .I investigated graph analytics techniques to uncover patterns, relationships, and properties within graph data.
Currently working on the research direction of foundation models and big data systems. My research focus is on implementing time series foundation models which can quickly adapt to a given context.

(June 2021 - Aug 2022)

Working on Novatti payment gateway which is the legacy product of Novatti acquiring. One of the early members of Novati Acquiring and have played a full-stack role contributing to every key component of the payment gateway which followed a serverless architecture.
Implementation of reconciliation process and disbursement process which involved communicating transfer details with several platforms.
Developing Merchant Onboarding flow assisting Step functions.
End to end implementation of PayXCrypto, which is a secure and compliant real-time crypto payment system
AWS Stack: Lambda, DynamoDb, Api Gateway, SQS, SNS, Secret Manager, App Config, S3, CloudFront
Other Stack: Java, Spring Boot, Javascript, Maven, React, GraalVM, PHP, Git, Bash

(Feb 2021 - May 2021)

Working on the Food team of Pickme, which is Sri Lanka’s leading taxi hailing and food delivery system. Contributed several components to improve their standards. Key Responsibilities included,
Designing and implementation of Microservices which followed an Event driven architecture.
Collaborative development with local teams to deliver features.
Implementing enhanced monitoring using Prometheus and Grafana.
Regression testing services for higher traffic.
Technical Stack: Go, Kafka, Docker, Kubernetes, Prometheus, Grafana, Git, Bash,SQL

(Oct 2019 - Dec 2020)

Chatbot based indoor localization system
Implemented a rule-based chatbot to identify the building and the floor of the user.
Enhanced system to identify nearby landmarks using chat and exactly locate the user using breadth-first search based approach. Verified the location with extended questions upon the location.
Developed a CICD pipeline for the project using Travis CI and AWS Beanstalk
Driver guidance system for Cab drivers
Created a cab-passenger simulator to evaluate the efficiency of various cab routine protocols
Analyzed GPS & status logs of drivers, and identified hot spots in the Tokyo region
Developed models to predict passenger demand in Zonal areas depending upon historical data.
Created a service to analyze real-time logs and estimate predict dynamic driver waiting time in each POI( hot spots) and experimented the implementation with the collaboration of Fujitsu
Technical Stack: Java, Python, Docker, Git, Bash, SQL

(Feb 2019 - Oct 2019)

Working on Sysco Shop, the latest shopping application of Sysco (one of the largest food distributors in the world). One of the early members of Sysco Shop and has played a full-stack role contributing to many key components of Sysco Shop application. Key responsibilities included
Designing and implementation of Microservices
Automation scripts with Python, Javascript
Requirement analysis and the end to end designing of major features
Collaborative development with local and US teams
Debugging and Fixing Production incidents in Real Time
Technical Stack: Java, Springboot, React, Javascript, NodeJS, Git, Bash, SQL

(June 2017 - Dec 2017)

Designed and Implemented an hardware accelerator to determine ip based rules for incoming packets of the legacy traffic shaper product.
Experimented on different traffic shaping algorithms to analyze their efficiencies.
Developed a new core algorithm to effectively do the traffic shaping where I constructed a software implementation as well as a hardware accelerated implementation which improved the overall performance of the product significantly.
Technical Stack: C++, Git, Bash, Verilog, FPGA