AI/ML specializing in developing and deploying ML models for real-world applications in computer vision, NLP, and LLMs. Expert in data preprocessing, fine-tuning, RAG architectures, and extracting insights from complex datasets. Proficient in Python, PyTorch, TensorFlow, Transformers; focused on ethical AI and emotion-aware systems. Proven in research and freelance projects with high-accuracy results. And alsoPassionate backend engineer with expertise in Node.js for building secure, scalable APIs and integrating third-party services. My project LLM Emotion-Aware Response Ranking Mechanism CRM Automation with Agentic AI + n8n Empathetic Chatbot Golden & Jewelers E-Commerce ( Back end - Node js) Agrio – Plant Disease Detection App And Many More Also AI Research Publications _Website not available. Sign in: https://www.twine.net/signup_

Sajeewa Kumarasingha

AI/ML specializing in developing and deploying ML models for real-world applications in computer vision, NLP, and LLMs. Expert in data preprocessing, fine-tuning, RAG architectures, and extracting insights from complex datasets. Proficient in Python, PyTorch, TensorFlow, Transformers; focused on ethical AI and emotion-aware systems. Proven in research and freelance projects with high-accuracy results. And alsoPassionate backend engineer with expertise in Node.js for building secure, scalable APIs and integrating third-party services. My project LLM Emotion-Aware Response Ranking Mechanism CRM Automation with Agentic AI + n8n Empathetic Chatbot Golden & Jewelers E-Commerce ( Back end - Node js) Agrio – Plant Disease Detection App And Many More Also AI Research Publications _Website not available. Sign in: https://www.twine.net/signup_

Available to hire

AI/ML specializing in developing and deploying ML models for real-world applications in computer vision, NLP, and LLMs. Expert in data preprocessing, fine-tuning, RAG architectures, and extracting insights from complex datasets. Proficient in Python, PyTorch, TensorFlow, Transformers; focused on ethical AI and emotion-aware systems. Proven in research and freelance projects with high-accuracy results. And alsoPassionate backend engineer with expertise in Node.js for building secure, scalable APIs and integrating third-party services.

My project
LLM Emotion-Aware Response Ranking Mechanism
CRM Automation with Agentic AI + n8n
Empathetic Chatbot
Golden & Jewelers E-Commerce ( Back end - Node js)
Agrio – Plant Disease Detection App
And Many More

Also AI Research Publications
Website not available. Sign in: https://www.twine.net/signup

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Trainee AI Developer at E2NextGen
February 1, 2024 - Present
Trainee AI Developer responsible for developing YOLO-based real-time object detection models with fine-tuning and custom annotations, annotating 1500+ image datasets for iterative tuning and real-world validation, and collaborating on deployments to reduce inference time by 30% through optimization. Designed emotion-aware ranking mechanisms for emotionally sensitive LLMs, integrating emotion scoring and contextual relevance; fine-tuned pipelines to boost accuracy by 25% in simulations. Led automation efforts using Agentic AI and n8n to auto-generate assignments from lecture notes, integrating Wikipedia for context and exporting to PDF/Google Docs. Built an empathetic chatbot by fine-tuning GPT-3 models to detect and generate empathetic responses in real-time interactions. Also developed a CNN-powered mobile app for plant disease detection supporting 20+ diseases with 90%+ detection accuracy. Tech stack included Python, PyTorch, TensorFlow, FastAPI, Flutter, MongoDB, and Jupyter.

Education

Bachelor of Information and Communication Technology (Hons) at Uva Wellassa University, Sri Lanka
August 2, 2021 - September 29, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Media & Entertainment, Computers & Electronics, Education, Professional Services
    paper Emotion-Aware Response Ranking System

    This project introduces an advanced response ranking mechanism for emotionally sensitive conversational AI systems. The architecture integrates emotion intensity scoring and contextual relevance via a weighted formula to generate empathetic and context-aware responses.

    The system aims to:

    Enhance empathetic dialogue using emotional intensity and classification.
    Optimize response selection by balancing factual relevance and emotional alignment.
    Track emotional change in users over time, supporting mental health and emotional growth.

    https://www.twine.net/signin

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