Professional journey through quantitative finance, AI research, and systems engineering across leading tech companies and prestigious research institutions. 7 positions at 5 organizations with 3 degrees over 7+ years.
Master's degree in Computer Science with specialization in Machine Learning. Advanced study in deep learning, computer vision, and AI research methodologies with focus on practical applications.
Master's degree in Quantitative Finance with focus on algorithmic trading, risk management, and financial modeling. Specialized in machine learning applications to quantitative trading strategies.
Bachelor's degree in Electrical Engineering with specialized focus on instrumentation, signal processing, and computer science applications. Interdisciplinary curriculum combining core electrical engineering principles with advanced computing and machine learning.
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Developing high-performance quantitative trading systems and financial modeling frameworks for one of the world's largest electronic trading platforms. Working on algorithmic trading infrastructure, risk management systems, and real-time market data processing.
Research scientist developing novel machine learning algorithms for high-dimensional biological data analysis. Focused on dimensionality reduction techniques for cancer genomics and protein interaction networks.
Research internship at Adobe's AI research lab focusing on multimodal machine learning for creative applications. Developed novel algorithms combining computer vision and natural language processing for automated content generation.
Computer vision engineer developing advanced algorithms for autonomous drone navigation and aerial data analysis. Led development of real-time object detection and tracking systems for industrial inspection and monitoring applications.
Summer internship focused on quantitative development and trading systems implementation. Gained hands-on experience with financial markets infrastructure and algorithmic trading platforms.
Research and teaching role under Prof. Zsolt Kira, focusing on continual learning and federated learning. Taught graduate-level deep learning course (CS-7643) while conducting cutting-edge AI research.
Full-stack software engineer working on cloud-scale document collaboration platforms and service infrastructure powering Adobe's creative suite applications used by millions worldwide.