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Lahiru B. AI, Machine Learning and MLOps

My 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

  • AI, Machine Learning and MLOps

    3 years

  • Machine Learning

    1 Year

  • Deep Learning

    2 Years

  • NLP Tokenization

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Senzmate iot inteligence

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Experience Highlights

Document Q-A Agent with ARXIV Search

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

House Price Prediction model with flask local host interface

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

Movie Recommendation System using GraphRAG Architecture

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

EmoAI – Suicide Risk & Emotion Detection

• 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,

Deep Learning-Based Sentiment Classification (POC)

• 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

Education

  • University of Jaffna

    Bachelor of Engineering (BEng) in Electronic engineering

Languages

  • English (Fluent)
  • Sinhala, Sinhalese (Native or Bilingual)