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Schedule Interview NowMy name is Lahiru B. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, NLP Tokenization, Computer Vision, Chatbot, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: Document Q-A Agent with ARXIV Search, House Price Prediction model with flask local host interface, Movie Recommendation System using GraphRAG Architecture, EmoAI – Suicide Risk & Emotion Detection, Deep Learning-Based Sentiment Classification (POC), etc.. I am based in Matale, Sri Lanka. I've successfully completed 9 projects while developing at Softaims.
My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.
Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.
I'm committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.
Main technologies
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Potentially possible
Senzmate iot inteligence
This project is an enterprise-ready AI agent for answering questions from academic PDFs using LangGraph, OpenAI GPT-4o, and arXiv integration. It features persistent chat history, automatic multi-PDF
This project aims to build a machine learning model to predict house prices using publicly available Kaggle data. It involves data cleaning, feature analysis, and evaluating multiple regression models
Graph Database Architecture: Utilizes Neo4j to store and query movie, actor, and director relationships in a graph format. By Director: Find movies directed by the same filmmaker. By Actor: Discover m
• Tech: Fine-tuned BERT, Hugging Face, Flask, Firebase, React • Built a mental health platform that analyzes journal entries using BERT to detect emotional states (joy, sadness, anger,
• Tech: PyTorch, Transformer, Seq2Seq, RNN, Scikit-learn, Pandas • Developed and evaluated three deep learning models (RNN, Seq2Seq, Transformer) for sentence-level sentiment classification using a l
Bachelor of Engineering (BEng) in Electronic engineering