Professional Experience

Marvel Frequency (Full-Time)

Tehran, Iran

• Backtesting Engine: Designed and implemented the backtesting engine used to test trading strategies end-to-end, covering signal construction, position sizing, execution assumptions, and performance attribution.
• Research Automation: Turned manual, ad-hoc analyses into reproducible pipelines that run parameter sweeps across large hypothesis spaces and rank results automatically.
• Statistical Validation: Built the statistical validation layer separating real edge from noise, including walk-forward and out-of-sample testing, look-ahead and data-leakage checks, multiple-testing correction, and significance testing on backtested returns.
• Data Foundation: Owned ingestion pipelines for multi-source market and alternative datasets, cleaning and alignment of irregular time series, and a reproducible feature engineering layer.
• Machine Learning Forecasting: Applied gradient boosting, stacked ensembles, and sequential models (LSTM/GRU) for time-series forecasting, benchmarked against quantitative baselines.

Ostrich Industry Journal (Full-Time)

Tehran, Iran

• ML & Business Optimization: Built end-to-end ML pipelines, trained predictive models, and developed real-time dashboards for sales analytics and executive reporting.
• Dashboard Development: Created interactive BI dashboards using modern visualization tools, enabling stakeholders to monitor KPIs and make data-driven decisions in real-time.
• Software Development: Built robust software solutions for data integration, API development, and automated reporting systems to streamline business operations.

Energiser LTD (Part-Time)

Remote, London, UK

• Energy Forecasting: Engineered Neural Networks for energy demand forecasting, achieving 7% cost reduction.
• Renewable Integration: Implemented ensemble learning methods for power flow predictions, achieving 15% accuracy improvement.
• Cloud Infrastructure: Architected scalable ML pipelines on AWS with MLOps practices, achieving 99.8% uptime.

Freelance Professional (Part-Time)

Tehran, Iran

• Computer Vision: Developed deep learning-based security systems and 3D image analysis pipelines using CNNs and transfer learning.
• NLP: Created advanced NLP pipelines using BERT, GPT, and T5 models for sentiment analysis and automated report generation.
• Urban Analytics: Engineered CNN-powered computer vision systems for cityscape analysis and urban planning applications.
• Industrial AI: Designed ML systems for process optimization and predictive maintenance in industrial settings.

Data-Oriented Research for Software Analytics (DORSA) Laboratory

Tehran, Iran

• Advanced LSTM Models: Engineered LSTM models for predictive analytics in scientific literature, achieving 25% RMSE improvement.
• NLP & BERT-based Embeddings: Implemented BERT-based embeddings and topic modeling, improving topic detection accuracy by 18%.
• Cross-domain Knowledge Discovery: Developed ML methodologies for bibliometrics, achieving 22% better prediction stability.
• Research & Publications: Conducted empirical studies on scientometrics, contributing to peer-reviewed publications in high-impact journals.