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Tigran Margaryan

@tigranmargaryan1

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Dedicated AI/ML Engineer focused on intelligent systems and automation.

Armenia

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my AI expertise to drive impactful projects.

I am a dedicated and results-oriented AI/ML Engineer with a strong focus on software development and machine learning. My expertise lies in building intelligent systems that automate workflows and support decision-making through AI-powered solutions. I specialize in leveraging multi-agent architectures for complex task orchestration, ensuring that the systems I develop are both efficient and effective.

Throughout my career, I have successfully developed internal chatbots and AI-driven code generation systems, utilizing frameworks like LangChain and LangGraph. My experience includes deploying production-ready applications in containerized and cloud-based environments, as well as conducting rigorous experiments to evaluate the performance of various models. I am passionate about using technology to solve real-world problems and continuously seek opportunities to innovate and improve.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer (Regulatory Solutions)

Current

OneMarketData

Jan 2024 - Present (1 year 6 months)

Developed internal chatbots leveraging historical Jira, Confluence, and Slack data to enhance workflow automation, utilizing LangChain/LangFuse frameworks. Developed an AI-driven code generation and validation system using LLM agents via the LangGraph library, integrating automated workflows, error reflection, and iterative improvements, demonstrated through a Streamlit web application.

Lang Chain Langfuse LLM LangGraph Streamlit Airflow JupyterLab Prompt Engineering

Data Quality Engineer (Data Operations)

OneMarketData

Aug 2022 - Dec 2023 (1 year 4 months)

Developed automated data quality checks and validation scripts using OneTick queries and Bash scripts. Monitored data quality issues and trends, addressing potential problems and ensuring dataset integrity.

BASH SQL Data Quality Data Validation Financial Data

Research Intern

Ministry of Finance of The Republic of Armenia

Jun 2022 - Aug 2022 (2 months)

Researched and built time series models to uncover patterns in Armenian economic data, including GDP, interest rates, unemployment rates, and debts. Collaborated with the IMF and the Ministry of Finance, participating in various meetings on sustainable development in financial risks.

Time Series Analysis Financial Risk Management Data Modeling Collaboration

Education

Degrees, certifications, and relevant coursework

American University of Armenia

M.Sc., Data Science

Grade: 3.35

Activities and societies: Thesis: Applied quantitative methods to evaluate the impact of company characteristics and market variables on IPO underpricing in the U.S. stock market. Courses: Machine Learning, AI, Data Mining, Big Data Analytics, Statistical Inference, Natural Language Processing, Data Visualization, Time Series Analysis, Econometrics, Economics

Completed a Master of Science in Data Science, focusing on applied quantitative methods to evaluate the impact of company characteristics and market variables on IPO underpricing in the U.S. stock market. Coursework included Machine Learning, AI, Data Mining, Big Data Analytics, Statistical Inference, Natural Language Processing, and Time Series Analysis.

Yerevan State University

B.Sc., Financial Mathematics

Grade: 3.76

Activities and societies: Thesis: Developed algorithmic trading strategies based on the VIX Index, leveraging technical indicators such as moving averages, momentum, and volume, and conducted comparative analysis to identify the most profitable approaches. Courses: Calculus, Linear Algebra, Probability and Statistics, Financial Derivatives, Financial Mathematics, Quantitative Risk Management, Econometrics, etc.

Earned a Bachelor of Science in Financial Mathematics, developing algorithmic trading strategies based on the VIX Index, leveraging technical indicators such as moving averages, momentum, and volume. Conducted comparative analysis to identify the most profitable approaches, with coursework covering Calculus, Linear Algebra, Probability and Statistics, Financial Derivatives, and Econometrics.