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Alvina Khachikyan

@alvinakhachikyan

I build legal AI datasets, predictive models, and automated data pipelines with Python and SQL.

Armenia
Message

What I'm looking for

I'm looking to build AI and data solutions where I can work on machine learning models, data pipelines, and high-quality datasets while growing through collaboration with engineers and data scientists.

At Meritensa, I collect and structure large-scale judicial case data for AI applications, machine learning models, and an LLM focused on California Federal and Corporate Law.

I use Python, SQL, Pandas, NumPy, and Scikit-learn to clean legal data, engineer features, train predictive models, and analyze court case outcomes. I also create visualizations and reports that communicate legal trends and model performance.

I've built prediction projects for UEFA Champions League outcomes, property valuation, gym-member churn, and sports analytics pipelines connected directly to PostgreSQL databases.

Experience

Work history, roles, and key accomplishments

ME
Current

Junior AI & Data Engineer

Meritensa

Jan 2026 - Present (8 months)

Collect, clean, and organize large-scale judicial case data from CourtListener and other legal sources to build structured datasets for AI and machine learning applications. Develop, train, evaluate, and optimize machine learning models using Scikit-learn to predict court case outcomes based on historical legal data.

Education

Degrees, certifications, and relevant coursework

European University of Armenia logoEA

European University of Armenia

Bachelor of Science, Computer Science and Applied Mathematics

2024 -

Activities and societies: Relevant Coursework: Calculus, Linear Algebra, Statistics, Probability Theory, Mathematical Logic, Analytic Geometry, Data Structures & Algorithms, Object-Oriented Programming, Physics (Synopsys Armenia Academy Lab). Technical Foundation: Python (Fundamentals & OOP), C++ (Fundamentals & OOP), C#, Linux Fundamentals.

Pursuing a Bachelor of Science in Computer Science and Applied Mathematics, expected to graduate in 2028.

ES

EPAM Systems

SQL & Database Development Program, SQL & Database Development

Activities and societies: Technologies & Tools: SQL, PostgreSQL, Database Indexing, Query Optimization

Completed rigorous coursework on PostgreSQL schema design, complex query optimization, relational indexing, and relational database management.

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