Maya Afshar is a London-based software leader with 10 years of experience in high-performance programming, distributed systems, and ML/AI, currently serving as Vice President at Goldman Sachs after rapid progression from analyst to associate. She combines a strong academic grounding from UCL in computational statistics and machine learning with practical experience optimizing complex systems—from agent-based workplace modeling and multi-agent RL in academia to performance-focused work at Microsoft and quantitative development for options pricing. Known for pragmatic engineering at the intersection of research and production, she has shipped rendering and ray-tracing work, built pricing distribution tools, and tackled large-scale optimization problems. Though her GitHub bio wryly claims she’s “Bored...”, her career shows a pattern of seeking technically challenging roles that bridge research, finance, and systems engineering.
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