Welcome to My Page! 🌟

Hello! I’m Adelina Duman, a recent graduate from Columbia University, specializing in the Intelligent Systems track. My academic journey has equipped me with a robust foundation in Artificial Intelligence, Applied Machine Learning, and Natural Language Processing. I also interned at Duolingo as a Software Engineer and worked as a AI Researcher in EPFL University, working on the intersection between AI and neuoscience

🎓 Education

• Columbia University (Graduation Date: May 2024)
  • Courses: Artificial Intelligence, Applied Machine Learning, Natural Language Processing, and more.

💼 Internship and Work Experience

EPFL University AI Research Intern 🧠

• Acceptance Rate: 1.5%
• Contributed to state-of-the-art deep learning research in animal behavior analytics.
• Implemented and optimized algorithms including decision trees, SVMs, and neural networks.
• Enhanced predictive modeling accuracy through advanced data preprocessing.
• Tech Stack: Python, TensorFlow, Keras, Scikit-Learn, Pandas
• Skills: Deep Learning, Neural Networks, Data Preprocessing, Model Optimization

Duolingo Software Engineering Intern 🦉🟢

• Developed an Android mobile app “Concentration Game” with a team of engineers, where users can practice words in their learning language.
  • Frontend: Coded in Kotlin using reactive programming and MVVM architecture.
  • Backend: Coded in Python with Flask and SQL. Integrated Terraform and DynamoDB for data storage.
  • Conducted A/B testing and optimized app performance, significantly improving user retention.
• Tech Stack: Kotlin, Flask, DynamoDB, Python, Docker, SQL, Terraform, AWS
• Skills: Full-Stack Development, A/B Testing, Performance Optimization

NLP Research Assistant with John R. Kender at Columbia University 🔍

• Worked on an NSF-funded project focusing on sentiment analysis using big data from online forums.
• Built predictive models and data visualizations to translate sentiment trends.
• Researched state-of-the-art deep learning papers on arXiv.
• Tech Stack: Python, PyTorch, NLTK, Matplotlib, Seaborn
• Skills: Sentiment Analysis, Data Visualization, Deep Learning
• Link

🌟 Leadership Experience

• Teaching Assistant for COMS ENGI1600 at Columbia University – 300 students, holding recitations 📚
• Events Lead for Google Developer Student Club 🥳
  • Organized events focused on emerging technologies and AI development, significantly increasing club engagement.

💻 Technical Skills

• Languages: Python, R, SQL, Kotlin, Java
• Frameworks and Tools: LangChain, Docker, Vertex AI, AWS Sagemaker, Hugging Face, Bedrock, TensorFlow, Praat – Data Engineering: Data Structures, ETL, Vector Databases (Pinecone, Chroma), Neo4j (Cypher), Knowledge Graphs
• Machine Learning and AI: Model Training, Neural Networks, Supervised Learning, Feature Engineering, Hyperparameter Tuning,RAG (Retrieval-Augmented Generation),, Fine-tuning LLMs, MLOps, VADER, NLTK, Prompt Engineering, Model Deployment
• Libraries: PyTorch, NumPy, opencv,Pandas, Scikit-Learn, Matplotlib, Seaborn, Tableau, Keras

📜 Certifications

• Machine Learning by Stanford University
  • Currently taking Machine Learning Specialization by Andrew Ng
• AI for Product Management by Duke University
  • Certification Link
• Introduction to Generative AI Learning Path by Google Cloud
  • Certification Link