Hello, I'm Randil Wijayananda. A Data Engineering student at Texas A&M University with a focus on AI/ML, Data Science, and Full-Stack Development
As a Data Engineering and Computer Science student, I have developed expertise in Python, JavaScript, Java, and C++, with extensive experience in ML frameworks, data analysis tools, and full-stack development using React, Next.js, and TailwindCSS.
I've worked on various projects including ML-based systems, RAG pipelines, and full-stack applications. As an active member of organizations like Aggie Coding Club and Google Developer Student Club, I'm passionate about leveraging technology to solve complex problems. I'm currently seeking opportunities to contribute to innovative projects in software development, AI/ML, and data engineering.
Specializing in building ML-based systems and data pipelines using Python, Scikit-learn, and XGBoost. Experienced in implementing time-series analysis (SARIMA), clustering algorithms, and developing dynamic pricing systems. Proficient in processing and analyzing large datasets (5TB+) with advanced tools like Langchain and Pinecone.
Building modern, responsive web applications using Next.js, React, and TailwindCSS. Experienced in implementing secure payment integrations, user authentication systems, and database management. Proficient in both frontend development with modern UI/UX practices and backend systems using Node.js and cloud services (AWS, GCP).
Developing advanced AI solutions including RAG pipelines, LLM integrations, and computer vision systems. Experienced in implementing YOLOv10 models with transfer learning, achieving high accuracy rates in medical image detection. Proficient in vector embeddings systems and intelligent querying solutions.
Creating comprehensive data analyses using Python (Pandas, Seaborn, Matplotlib) and advanced visualization tools. Experienced in processing 100,000+ data points using Random Forest & KMeans clustering, achieving 90% prediction accuracy. Skilled in delivering actionable insights through statistical analysis and business intelligence.
Leading development teams and implementing efficient data workflows. Experienced in managing full-stack projects, implementing ML-driven features, and optimizing development processes. Proven track record of improving system efficiency and driving successful project outcomes.
Providing expert tutoring in Data Science, AI/ML, Web Development, and programming (Python, C++, Java). Experienced in developing technical project materials and mentoring students through complex implementations, maintaining a 4.9/5 rating and improving student performance by 45%.
