I am a Computer Science and Engineering undergraduate at the University of Moratuwa, specializing in Data Science & Engineering with a minor in Mathematics. With a strong academic foundation (CGPA: 3.72), I have develope…
I am a Computer Science and Engineering undergraduate at the University of Moratuwa, specializing in Data Science & Engineering with a minor in Mathematics. With a strong academic foundation (CGPA: 3.72), I have developed expertise in Machine Learning, Deep Learning, AI engineering, and MLOps, enabling me to design, develop, and deploy AI-driven solutions for real-world applications.
My technical skills span across machine learning frameworks (TensorFlow, PyTorch, Keras, Scikit-learn), data engineering (pandas, NumPy, Spark, Dask, Polars), MLOps (Docker, Kubernetes, Terraform, MLflow, Airflow, Kubeflow), and cloud platforms (AWS, GCP, Azure). I also have hands-on experience with backend development (FastAPI, Django, Flask) and microservices architecture using RabbitMQ, gRPC, and MongoDB/PostgreSQL.
In terms of projects, I have developed and deployed several AI and machine learning applications, including Learner Aware AI Chat Agent, an adaptive AI tutoring system utilizing LLMs, LangChain, and Knowledge Tracing, as well as AI-Driven Business Growth Web App, which won 1st place at Datastorm 5.0. Other projects include Smart Bill Analyzer (OCR-powered invoicing tool), Sign Language Translator using LSTMs, and an Automated Email Client with AI-based personalizations.
My professional experience includes working as a Machine Learning Engineer Intern at CML Insight Inc., where I developed end-to-end ML pipelines, NLP-based feature extraction models, and scalable AI microservices. Additionally, as a Teaching Assistant at the University of Moratuwa, I conducted technical sessions on data science and AI, mentoring students in advanced machine learning concepts and projects.
I have also contributed to AI research, with my paper "Large Language Model-Based Student Intent Classification for Intelligent Tutoring Systems" being accepted at the International Conference on Information Technology Research (ICITR) 2024. My research focuses on LLMs, NLP applications, and AI-driven
<p>Conducted technical sessions<br>
Conducted evaluations for semester 5 students<br>
Supported the Data Science and Engineering Project Module<br>
Worked under the supervision of Dr. Thanuja Ambegoda</p>
Conducted Technical sessions and Evaluations for semester 5 students for Data Science and Engineering Project Module under supervision of Dr. Thanuja Ambegoda
Developed end-to-end ML pipelines with a focus on LLM based data extraction, feature engineering, NLP-based feature creation, and classification model development. Model training, testing, validation, dataset creation, and deploying microservices for scalable ML solutions.
<p>Developed end-to-end ML pipelines with a focus on LLM based data extraction<br>
Worked on feature engineering<br>
Created NLP-based features<br>
Developed classification models<br>
Performed model training<br>
Performed testing<br>
Performed validation<br>
Created datasets<br>
Deployed microservices for scalable ML solutions</p>
<p>Reference contact listed</p>
<p>Reference contact listed</p>
<p>Reference contact listed</p>
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