Nairi Baghdasaryan
Verified Expert in Engineering
Data Scientist and Developer
Yerevan, Armenia
Toptal member since September 2, 2025
Nairi is a quantitative researcher and data scientist with experience building algorithmic trading systems, backtesting engines, and portfolio risk models. She has designed multi-agent ML architectures for trading signals and a novel topological data analysis algorithm for time-series similarity search - turning complex research into production-grade systems that deliver measurable results.
Portfolio
Experience
- Research - 9 years
- Python - 7 years
- Data Science - 6 years
- Pandas - 6 years
- NumPy - 6 years
- Backtesting - 5 years
- MySQL - 5 years
- Prediction Markets - 5 years
Preferred Environment
Python
The most amazing...
...achievement has been designing and building a full backtesting engine from scratch, delivering reliable strategy evaluation and automated trading capabilities.
Work Experience
Data Scientist | Quant Developer
Self-employed
- Developed trading strategies for crypto, forex, commodities, and indices, including trend following, mean reversion, and arbitrage approaches. Delivered end-to-end solutions encompassing backtesting, forward testing, and live trading via APIs.
- Performed time series analysis, clustering, and correlation studies to understand markets, and applied statistical modeling, volatility analysis, and Monte Carlo simulations for forecasting, risk assessment, and regime detection.
- Crafted portfolios using frontier models and conducted risk-adjusted performance analysis with Sharpe, Sortino, and value at risk metrics. Applied Monte Carlo stress tests and adaptive allocation strategies to ensure resilience in dynamic markets.
- Performed data preprocessing, feature engineering, and machine learning for prediction and clustering. Developed interactive dashboards to visualize backtest results, portfolio insights, strategy signals, and market correlations.
Founder and CEO
Bliinkai Inc
- Spearheaded product development and technical strategy, designing core AI algorithms for posture and blinking detection and deploying a secure, privacy-focused desktop application.
- Directed fundraising and strategic partnerships, securing investor support and participation in accelerator programs.
- Collaborated with cross-functional teams of engineers, designers, and medical advisors to develop an AI-powered healthtech solution enhancing eye health, posture, and workplace productivity.
- Analyzed webpage traffic and ran A/B tests to understand user behavior, optimize conversions, and enhance engagement.
Data Scientist
Marsbridge Capital
- Architected a robust trading framework integrating data cleaning, feature engineering, and time series analysis, enabling more efficient backtesting and optimization of trading strategies.
- Designed interactive dashboards to visualize key market trends and performance metrics, enhancing decision-making and refining strategic processes.
- Leveraged advanced analytical techniques on historical financial data to forecast future market trends.
- Automated performance reporting, drastically reducing manual effort and enabling quicker responses to market fluctuations.
Quantitative Developer and Researcher
EPFC
- Researched and implemented machine learning models to enhance asset management processes, optimizing portfolio risk analysis and supporting alternative trading strategies.
- Performed time-series analysis of international bonds to evaluate portfolio risks and uncover opportunities for short- and long-term investments.
- Developed models simulating diverse market conditions to provide insights into potential gains and losses, supporting more informed portfolio management decisions.
- Drove the integration of advanced technologies for data collection and analysis, streamlining workflows and enhancing the depth of actionable insights.
Machine Learning Engineer
Plat.AI
- Designed and implemented machine learning models for real-time logistics forecasting, driving significant gains in operational efficiency.
- Implemented automated monitoring systems for production machine learning models, ensuring rapid detection and resolution of performance issues.
- Translated complex technical insights into actionable recommendations for stakeholders, accelerating the adoption of AI-driven solutions.
- Engineered customized data visualization tools that enabled non-technical teams to interpret machine learning model outcomes easily.
Associate Lecturer
Yerevan State University
- Delivered courses on applied nuclear reactor physics, emphasizing practical problem solving and real-world applications.
- Developed advanced numerical methods for physics simulations to solve complex ordinary differential equations (ODEs).
- Mentored students in data analysis techniques and effective graphical representation of scientific results.
Specialist on Neutronics Analysis and Nuclear Fuel
Nuclear and Radiation Safety Center
- Created and maintained a database for numerical analysis of nuclear reactor data, optimizing workflow efficiency.
- Spearheaded numerical analyses to check compliance with safety regulations, ensuring accurate reporting and compliance.
- Developed learning materials and trained new hires in safety protocols and analytical methods, strengthening the team's capabilities.
- Prepared comprehensive reports on nuclear fuel and radiation safety, ensuring full compliance with established safety standards.
Experience
Algorithmic Stock Trading Simulation Platform
I incorporated various technical indicators for signal generation and strategy development, alongside risk management modules for position sizing, portfolio allocation, and leverage control. The engine enables multi-symbol testing, walk-forward analysis, and automated strategy optimization to identify the best parameter sets.
I also developed capabilities for generating detailed performance reports, including equity curves, drawdowns, and risk-adjusted metrics. The system is fully deployable on AWS, ensuring scalable and reliable production-level testing and analysis operations.
Crypto Trading Framework
I built risk management modules for position sizing, leverage, and portfolio diversification. The engine enables multi-asset testing and walk-forward analysis and generates detailed performance reports, including equity curves, drawdowns, and risk-adjusted metrics such as Sharpe, Sortino, and profit factor.
I optimized the platform for speed and scalability, allowing it to process large historical crypto datasets and live data streams from Binance.
Forex Trading Backtesting Engine
I built the framework to enable multi-currency pair testing, walk-forward analysis, and detailed performance reporting, including equity curves, drawdowns, and risk-adjusted metrics.
I optimized the platform for speed and scalability, allowing it to handle large historical datasets and run multiple strategies simultaneously.
Education
PhD in Physics
National Center of Nuclear Research (NCBJ) - Poland
PhD in Nuclear Engineering
Yerevan State University - Yerevan, Armenia
Master's Degree in Nuclear Reactor Physics
Yerevan State University - Yerevan, Armenia
Bachelor's Degree in Physics
Yerevan State University - Yerevan, Armenia
Skills
Libraries/APIs
SciPy, Pandas, NumPy, Matplotlib, XGBoost, Binance API, Scikit-learn
Tools
Slack, Yahoo! Finance, Plotly, Asana
Languages
Python, SQL
Platforms
Anaconda, Amazon EC2, Amazon Web Services (AWS)
Storage
Data Validation, MySQL, Databases, PostgreSQL
Frameworks
Optuna
Paradigms
ETL, Management
Industry Expertise
Trading Strategy Development
Other
Machine Learning, Data Science, Visualization, Regression, Classification, Finance APIs, Data Cleaning, Algorithms, Prediction Markets, Supervised Machine Learning, Backtesting, AI Research, Feature Engineering, Startups, Research, Algorithmic Trading, Linear Regression, Forecasting, Regression Modeling, Partial Differential Equations, Numerical Analysis, Monte Carlo Simulations, University Teaching, Programming, Physics, Unsupervised Machine Learning, 3D Visualization, K-means Clustering, PySQL, Pattern Recognition, Artificial Intelligence (AI), IT Management, Product Management, Financial Planning & Analysis (FP&A), Collaboration, Investments, Applied Mathematics, Computer Science, Numerical Methods, Data Analysis, Differential Equations, Science, Engineering, Mathematics, IT Project Management, ClickUp, APIs, Data Engineering, Trading Bots, Risk Modeling, Optimization, Systematic Trading, Backtesting Trading Strategies, Simulations, Trading, Quantitative Analysis, Model Tuning, Data Modeling, Data Analytics, Decision Trees, Support Vector Machines (SVM), Random Forests, Gradient Boosting, Time Series Analysis, Time Series, Logistic Regression, Dimensionality Reduction, Statistical Modeling, Data Processing Automation, AI Automation, Predictive Analytics, System Modeling, Statistics, Pricing Elasticity, Sales Forecasting, Analytics, Leadership, B2B Partnerships, Web Marketing, Sales, Informatics, Consulting, Quantitative Finance, Hedge Funds, Crypto, Stock Trading, Risk Management, Financial Modeling, AI Adoption, Finance, Credit Underwriting
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