Professional Experience

Key Responsibilities

• Design and implement quantitative models for energy market forecasting and trading strategies
• Develop and maintain machine learning pipelines for real-time market analysis
• Optimize high-performance computing infrastructure for model deployment
• Collaborate with traders to translate market insights into actionable strategies

Key Achievements

• Improved energy price forecasting accuracy by 35% through advanced time-series modeling
• Deployed multi-GPU LLM inference pipeline, reducing latency by 45%
• Built real-time analytics dashboard processing 5M+ market events daily
• Reduced infrastructure costs by 40% through optimized resource allocation

Technologies

Key Responsibilities

• Assisted in development of quantitative trading models and strategies
• Performed data analysis and statistical modeling for market research
• Maintained and enhanced existing trading infrastructure
• Created tools for data visualization and performance monitoring

Key Achievements

• Developed automated data quality monitoring system reducing errors by 60%
• Implemented backtesting framework used across quantitative team
• Created Python libraries for common trading operations, improving team efficiency by 30%
• Built data transformation pipelines processing 100GB+ daily

Technologies