const me = {
role: "CS undergrad -> AI engineer",
focus: ["deep learning", "agents", "automation"],
based: "Tbilisi, Georgia",
status: "open to AI engineering jobs"
};
Low-resource Georgian spellchecker using a seq2seq encoder-decoder model, synthetic data generation, and custom inference.
End-to-end visual captioning system with CNN feature extraction and LSTM-based natural language generation.
Multi-agent system where specialized LLM agents collaborate to automate the end-to-end machine learning workflow, from problem framing to model selection.
Experimental study on detecting source code plagiarism using similarity analysis and machine learning techniques across code datasets.
[education]
Kutaisi International University — B.Sc. Computer Science 2023 – 2027 · 100% National & State Scholarship · top 100 in national exams · University Stipend recipient Student Tutor — Computer Architecture & Computer Architecture Lab[experience]
Meama — AI Engineer 03.2026 – Present Designing multi-agent AI orchestration across CRM, marketing, supply chain, and finance workflows. HelpDesk — Database & Front-End Support Intern 2020[activities]
MTA Certificate · Mziuri C++ and full-stack coursework · GDG memberPyTorch, TensorFlow, Keras, scikit-learn, neural networks, multi-task learning, Seq2Seq, NLP, CNN-RNN architectures, model evaluation, experiment design, and applied deep learning.
AI agents, multi-agent orchestration, tool use, prompt engineering, workflow automation, retrieval-aware systems, evaluation loops, and API-based AI integrations.
SQL, PostgreSQL, MySQL, Pandas, NumPy, feature engineering, ETL pipelines, KPI monitoring, dashboard logic.
Python, JavaScript, C++, PHP, Streamlit, Airflow, Kaggle, Git, API integrations.
Georgian native, English fluent.