AI / ML Engineer

American University of Armenia

• Hybrid recommendation engine combining content-based, collaborative, and neural approaches on real library borrowing data.
• Personalized recommendation engine with user history retrieval and session-based conversational memory.
• Retrieval-Augmented Generation (RAG) and vector-based semantic search for context-aware recommendation workflows.
• OpenAI-powered recommendation assistant with a FastAPI-based AI service layer.
• Multi-tenant architecture with isolated organizational knowledge bases.
• Evaluated with Precision@K, Recall@K, NDCG@K, and Cosine Similarity; full pipeline in Python, PyTorch, Pandas, PostgreSQL, and R.

American University of Armenia

• Analyzed the impact of traffic congestion on air pollution levels in Yerevan.
• Applied statistical modeling including ANCOVA, descriptive statistics, and time-series analysis.

American University of Armenia

• Developed an interactive analytics dashboard in R Shiny to analyze transaction and spending behavior.
• Built visualizations using ggplot2, plotly, histograms, boxplots, and density plots.

American University of Armenia

• Created an interactive data visualization dashboard analyzing how age influences reading frequency and genre preferences.
• Processed behavioral datasets using R (dplyr, tidyr, lubridate).

American University of Armenia

• Designed and implemented a relational database modeling restaurant operations including menus, orders, and transactions.
• Implemented normalized schema design and SQL queries for operational analytics.

Sentium Consulting

• Owned product lifecycle from 0 to full scale; drove priorities through market analysis and customer feedback.