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Pasindu M. JavaScript, Python and AI Platforms

My name is Pasindu M. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Java, JavaScript, Spring Boot, Python, React, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: EcoMetrics App, Genify - AI-Powered System Prompt Generation System. I am based in Ratnapura, Sri Lanka. I've successfully completed 2 projects while developing at Softaims.

I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.

I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.

My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.

Main technologies

  • JavaScript, Python and AI Platforms

    6 years

  • Java

    3 Years

  • JavaScript

    2 Years

  • Spring Boot

    2 Years

Additional skills

Direct hire

Potentially possible

Previous Company

99X Technology

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Experience Highlights

EcoMetrics App

The Metrics App is a real-time monitoring tool that tracks CPU usage, RAM usage, and VRAM usage for endpoints like localhost:4000. It also calculates carbon footprint and total energy consumption, providing users with actionable insights for optimizing resource usage. The app features dynamic charts and data visualizations, making it an essential tool for efficient system management and sustainability analysis.

Genify - AI-Powered System Prompt Generation System

Genify is an AI-powered system that generates well-structured prompts using the fine-tuned Llama2-7b-chat-hf model. Built with a React frontend and Flask backend, the application is optimized through model quantization and deployed on Azure. The project includes a robust CI/CD pipeline implemented with GitHub Actions, ensuring seamless updates and performance. Genify offers precise and context-aware prompts for various applications, leveraging advanced machine learning techniques.

Education

  • University of Westminster

    Bachelor of Engineering (BEng) in Computer engineering

    2017-01-01-2021-01-01

Languages

  • English
  • Sinhala, Sinhalese