Passionate about the future of finance, I leverage data analysis, financial modeling, and programming (Python, React, Java, C++) to craft innovative, data-driven solutions for the dynamic market. Turning complex financial challenges into streamlined opportunities is my forte.
I have developed a Financial Analytics Tool using Python and machine learning for data-driven decision-making, built a user-friendly Non-Profit Website with React and Vue.js, and implemented a Blockchain solution on the Ethereum network to enhance financial transaction transparency and security. Additionally, I created a Custom AI Writing Assistant leveraging NLP and machine learning frameworks like TensorFlow or PyTorch to generate tailored financial market insights. I also actively contribute to open-source projects like Omnivore (Omnivore.app), jan.ai, and opnebb.
Developed advanced AI models like Command R+ using Python, JAX, and Rust. Designed evaluation strategies and optimized model performance with fine-tuning and reinforcement learning.
Enhanced AI models' understanding of complex financial language, tailoring them for enterprise applications and optimizing models for Retrieval Augmented Generation (RAG) systems.
Contributed to leveraged and investment-grade debt transactions totaling $70 billion with financial analysis and presentations using PowerPoint and Excel.
Analyzed and managed a $1 billion real estate private investment fund, collaborating with universities to establish incubator programs and support promising startups.
Participated in asset allocation strategies for an $800 million endowment fund, covering diverse asset classes like venture capital, credit, debt, bonds, stocks, forestry, and real estate.
Eager to collaborate with tech enthusiasts and explore opportunities at the intersection of finance and innovation. Let's build something remarkable together! π