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Builds NLP and GenAI solutions (LLMs, RAG, agents) to extract trading signals from text data for a quant fund.
Designs and leads enterprise-grade AI/ML systems, including GenAI services, while mentoring engineers and ensuring scalable, reliable, and compliant solutions for a global investment firm.
Research and develop ML models for financial markets, applying predictive modeling, NLP, and time-series analysis using Python/R/Matlab.
Build AI-driven equity trading signals using ML research, proprietary data, and modern architectures like LLMs and sequence models in a collaborative quant research team.
Research and build ML-driven trading models using deep learning and NLP to forecast market behavior and enhance financial predictions.
Design and build AI/ML systems for a global investment firm, integrating generative and traditional models into trading platforms using Python, TensorFlow/PyTorch, and cloud infrastructure.
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