Pavan Mirla
Ai Research Lead @Perceptron Intelligence
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WORK HISTORY
Ai Research Lead @Perceptron Intelligence
Vancouver, BC, CA
Developed AI driven quantitative investment models for a well-established quant fund with over two decades of investment history, demonstrating expertise in AI application in finance.
EDUCATION
University of Toronto - Rotman School of Management
MBA, International Business and Finance
University of Mysore
B.E, Computer Science and Engineering
SKILLS
ABOUT PAVAN MIRLA
I specialize in deep learning-based modeling, especially reinforcement learning-based approaches, for quantitative investment strategies. At Perceptron.Solutions, I lead AI modeling consulting efforts for investment fundsPreviously, I headed AI and machine learning initiatives at John Hancock Asset Management and Manulife Asset Management. At the CPP Investment Board, I worked on quantitative strategies to enhance decision-making for portfolio managers and quant analysts, gaining valuable experience in the field.I have also had the opportunity to design and conduct an interactive AI workshop tailored for traditional portfolio managers, aiming to facilitate their understanding of AI-driven methodologies. To date, I have conducted 20 sessions, working to bridge the gap between traditional investment approaches and modern AI techniques.Prior to career in Quant Finance, I worked at Cisco Systems. Core AI ExpertiseTransformer Models – Capture long-range dependencies in financial dataVariational Autoencoders (VAEs) – Detect hidden market regimes via unsupervised learningTemporal Convolutional Networks (TCNs) – Identify hierarchical time-series patternsDeep Reinforcement Learning (DRL) – Adapt to changing market conditionsGraph Neural Networks (GNNs) – Model complex, interconnected relationships across assetsMy digital/interactive Books:Interactive Calculus textBooK: 21ifm.comGenerative AI:
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