I'm passionate about building the future of finance by harnessing the power of technology. I combine a solid foundation in data analysis, financial modeling, and programming (Python, React, Java, C++) to craft innovative solutions for a dynamic market. I thrive on turning complex financial challenges into streamlined, data-driven opportunities.
Here are some of my notable projects showcasing my skills and experience:
- Financial Analytics Tool: Analyzes financial statements using Python, machine learning, and visualization tools (e.g., Matplotlib) to extract insights and aid in data-driven decision-making.
- Non-Profit Website: Developed a user-friendly website for a non-profit organization using React and Vue.js, improving their outreach and service delivery with a custom communication system.
- Blockchain for Financial Ownership: Implemented a blockchain solution on the Ethereum network to enhance transparency and security in financial transactions, showcasing my expertise in smart contracts and blockchain architecture.
- Custom AI Writing Assistant: Built a custom AI writing assistant leveraging NLP and machine learning frameworks like TensorFlow or PyTorch. This tool generates accurate and relevant financial market insights tailored to a specific writing style.
- Open Source Contributions: Actively contributing to open-source projects like Omnivore (Omnivore.app), jan.ai, and opnebb.
I am proficient in a diverse set of technologies, including:
Collaborated on the development of advanced AI models like Command R+ using Python, JAX, and Rust. Designed and implemented evaluation strategies to optimize model performance, experimenting with fine-tuning and reinforcement learning techniques. Developed pipelines for generating high-quality training data (both human-annotated and synthetic) and optimized existing data to improve model accuracy.
Leveraged my finance knowledge to enhance the model's understanding and interpretation of complex financial language. Contributed to tailoring Cohere's AI models for financial sector applications, particularly for enterprise clients. Played a key role in optimizing models for use in Retrieval Augmented Generation (RAG) systems, empowering financial analysis and decision-making.
Gained significant experience in financial analysis and presentations using PowerPoint and Excel. Contributed to the execution of leveraged and investment-grade debt transactions totaling $70 billion.
Worked with a $1 billion real estate private investment fund, gaining experience in analyzing and managing educational assets. Optimized fund performance through strategic asset allocation as part of a team of analysts. Collaborated with universities to establish incubator programs, fostering student entrepreneurship and supporting 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.
I am eager to connect with fellow tech enthusiasts and explore new opportunities at the intersection of finance and innovation. Let's build something remarkable together!
Let's build the future of finance together! ๐