•Automated scientific article data scraping & processing using Python (BeautifulSoup, Selenium, SpaCy, RegEx, NLP).•Contributing to developing an application for PDF to XML conversion using Python, NLP, and LLM which automates the medical article conversion with all the data and styling with high accuracy which will reduce 73% of the current manual effort.•Developed Python application for JSON to XML conversion with XSL styling and PDF to XML conversion using Python, NLP, and LLM which will help to increase the workflow of the analyst by more than 50%.•Contributed to creating a Power BI dashboard for scientific article data visualization.

•I work in Project Sentinel, an automated web scraping tool for dynamic websites using LLM’s Langchain and Django. Enabled extraction ofcrucial information from URLs based on user queries.• Worked in a no-code data analysis tool using Python, Pandas, Numpy, and Dask, integrating LLM for EDA and data cleaning. Implemented test cases and incorporated OpenAI and Django for enhanced functionality.

• Worked in a real-time customer monitoring dashboard with React, Redux, AWS Lambda, and MongoDB.• Developed a Jetson-Xavier-based customer monitoring prototype using YOLOv8, TensorRT, and AWS technologies.• Improved gender detection and people classification models through advanced architecture and data augmentation strategies.

• Improved CVAP’s headgear detection model using YOLOv5,v7,v8, increasing accuracy by 7% and enhancing performance with ONNX and OpenVINO models.• Optimized computer vision models for edge devices like Jetson Xavier, maximizing hardware utilization with TensorRT, ONNX-GPU runtime, and CUDA for better accuracy and FPS.• Developed a planogram compliance application using React, FastAPI, Django, PostgreSQL, YOLO, OpenCV, and PyTorch to calculate compliance rates from images for retail optimization.• Created a user-friendly image annotation and augmentation tool for YOLO with features like data splitting and bounding box adjustment, utilizing React, Flask, Docker, Albumentations, and OpenCV; hosted internally.• Integrated Kafka to deliver CVAP alert messages efficiently, ensuring real-time responses across subscribed workstations.• Developed an admin application with React, Redux Toolkit, Django, Postgres, and Keycloak to monitor and manage people-counting camera settings.

• Interactively taught two age groups (12-14 and 14-16) Python programming, web development, Boolean algebra, creative designing, andnetworking. Taught 16 kids these vital skills in a relaxed setting, fostering their interest in technology and design.

Created digital marketing materials for the launch of Nestle's new product, Boost, targeting Sri Lankan consumers.Conducted public surveys and online research to gauge consumer response and opinions on Boost.Analyzed feedback and presented a concise report to Nestle officials, guiding future marketing strategies.

I am so blessed to Join Nestle, one of the most Reputed companies around the world as an intern. I am so excited to work in the Nestership program, which is one of a kind learning and exposure to the corporate world as well.

• Developed a page to stream the FB live streams.• Worked in the migration process of the existing website into laravel framework