
Alvina Khachikyan
@alvinakhachikyan
I build legal AI datasets, predictive models, and automated data pipelines with Python and SQL.
What I'm looking for
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
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.
Administrative Assistant
Dispatch Experts
Jul 2025 - May 2026 (10 months)
Managed end-to-end client coordination, facilitating clear communication and ensuring high satisfaction levels. Executed accurate data monitoring tasks to maintain system integrity and support operational workflows.
Education
Degrees, certifications, and relevant coursework
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.
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
github.com/alveenaianPortfolio
github.com/alveenaianSkills
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