Open to opportunities

Madhuka Abhishek

@madhukaabhishek

NLP-focused software engineering undergraduate building production-ready text classification and LLM deployment solutions.

Sri Lanka

Message

What I'm looking for

I seek roles where I can build and deploy real-world NLP/LLM applications, contribute to backend and automation workflows, and grow through hands-on project ownership.

I am a software engineering undergraduate passionate about NLP, machine learning, and LLM workflows, with hands-on experience in text classification and model deployment.

I developed a hybrid Log Classification System combining rule-based filtering, BERT embeddings and DeepSeek R1 for context-aware classification, a hybrid intent-classification chatbot using SVC and DeepSeek R1 served via FastAPI with a Streamlit front end, and multiple CV projects including a face-mask detector and a tomato disease detection server deployed with FastAPI. I have deployed a client portfolio site and maintain a personal project site showcasing my work.

I enjoy building backend systems, automating ML/LLM workflows, and applying open-source tools and transformers to real-world NLP applications.

Experience

Work history, roles, and key accomplishments

Current

Software Engineering Student

Current

Open University of Sri Lanka

Nov 2022 - Present (2 years 9 months)

NLP and AI-focused software engineering undergraduate with hands-on experience building hybrid text classification systems, LLM-driven intent chatbots, and deploying ML services via FastAPI. Developed computer vision models for face mask and tomato disease detection and delivered a client portfolio website.

Python PyTorch TensorFlow Hugging Face fastAPI Transformers NLP SpaCy Streamlit

Education

Degrees, certifications, and relevant coursework

Open University of Sri Lanka

Bachelor of Software Engineering (Hons), Software Engineering

2022 -

Activities and societies: Projects include a hybrid log classification system, a hybrid intent-classification chatbot (FastAPI + Streamlit), face mask detection model, tomato disease classification API, and deployment of a client portfolio website.

Pursuing Bachelor of Software Engineering (Hons) with emphasis on NLP, machine learning, and backend systems. Expected graduation December 2026.