EXPLORE


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$350 USD / Hour
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United States (8:57 PM)
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Joined on September 22, 2010
$350 USD / Hour
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I am a highly skilled and experienced Application, Platform, and Systems Engineer with expertise using the "best tool for the job" approach. I have a proven track record in leading and mentoring small and large teams, improving engineering processes, and implementing strategic product initiatives. Currently building a machine learning automated E*Trade trading platform with ElectronJS desktop front-end application connected via APIs to a distributed system. Key Skills: ✔ Python, JavaScript, TypeScript, C++, Go, Ruby, Rust, Lisp, Elixir, Haskell ✔ SQL, NoSQL, React, Angular, Git, Docker, Kubernetes, JSON, HDF, Ubuntu LXD/LXC, Redhat Pods ✔ Data Science, Computer Science, Advanced Mathematics, Linear Algebra, Probability, Statistics ✔ Data Analysis, Visualization, Predictive Modeling, App Building Accomplishments: - Developed high-frequency machine learning trading solutions, leveraging next-gen cloud infrastructure (internal and external) for best results - Implemented efficient predictive & data-driven models/tools that enhanced financial tasks, including M&A management, and significantly improved overall performance - Spearheaded, improved and managed a proprietary algorithmic trading operation while mentoring an 11-person team that comprised diverse specializations Notable Projects and Portfolio: ⚡High-frequency Trading Platform: Developed a comprehensive platform using machine learning techniques, integrating an ElectronJS desktop front-end application with internal and external cloud infrastructure. Leveraged multiple programming languages and technologies to improve functionality, including Python, JavaScript, TypeScript, C++, Docker, and Kubernetes. ⚡Financial Data App: Successfully created applications for automating Excel financial models, PowerPoint templated designs, and M&A deal analysis utilizing Python, Django, LAMP, and HTML/CSS/JS. These solutions reduced operational redundancy and offered best-in-class financial forecasting across the industry. ⚡Hobbyist Projects: Designed websites for local businesses as a paid freelancer, developed whole-stack applications, and gained experience in core web development technologies. With an extensive career spanning over a decade, I have designed and implemented advanced FinTech, AI-driven, and data-centric solutions for top companies such as McKinsey & Company, RedStone M&A, and Brewer Park Partners. If you want to stay ahead of the curve in this fast-paced, constantly evolving tech landscape, I am the Go-To Expert in AI, Machine Learning, Data Science, and Full-stack Development professional you need on your team! Give your organization that cutting-edge advantage!
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Experience
Senior Technologist, Partner
Jan, 2022 - Present
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4 years, 5 months
Brewer Park Partners
Jan, 2022 - Present
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4 years, 5 months
- Developed investing algorithms using data science and advanced mathematics. - Created a custom testing suite, leveraging Elixir/Erlang and Go for scaling. - Designed an efficient, distributed, modular database system (HFBase) for high-frequency trading. - Built a private data center for security and faster production. Hired and trained an 11-person team, including a Ph.D. mathematician, project manager, hedge fund trader, and analysts for custom research.
Jan, 2022 - Present
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4 years, 5 months
Senior Lead Technologist, Partner
Jan, 2011 - May, 2023
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12 years, 4 months
RedStone M&A
Jan, 2011 - May, 2023
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12 years, 4 months
- Developed an app automating Excel financial models using VBA, MVC, virtual machine API, and NGINX for load balancing between Docker containers. - Created a PowerPoint plugin for templated designs. - Implemented a full-stack LAMP app for M&A teams to use financial model creation. - Standardized M&A processes, automating tasks like due diligence checklists. - Designed deal analysis tool using data science to predict company values and uncover opportunities often missed by other firms.
Jan, 2011 - May, 2023
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12 years, 4 months
Business Analytics Analyst
Jan, 1999 - Dec, 2001
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2 years, 11 months
McKinsey & Company
Jan, 1999 - Dec, 2001
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2 years, 11 months
- Used McKinsey data-driven problem-solving techniques to analyze data and present recommendations to Fortune 1,000 C-Suite executives. - Automated the creation and management of Excel financial models using VBA. - Learned to apply data analysis and visualization to overcome real-world business problems.
Jan, 1999 - Dec, 2001
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2 years, 11 months
Education
Emory University - Goizueta Business School
1995 - 1999
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4 years
Bachelor’s in Business Administration in Finance

United States
1995 - 1999
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4 years
Qualifications
Google Advanced Data Analytics Professional Certificate
2023
Coursera.org
Refreshing skills necessary to write next-gen complex proprietary AI algorithmic systems comparable to large language models such as ChatGPT
2023
Full Stack Software Engineering Program Certification
2000
General Assembly
- Gained a deeper understanding of modern full-stack web development, the program improved abilities to build user-friendly front ends to interact with complex back-end solutions I can create. - Learned to quickly develop and launch web apps on Heroku using HTML, CSS, JavaScript, TypeScript, Nodejs, MongoDB, Postgres, or MySQL. - Developed over 10 projects, including a significant capstone, to prove comprehension of critical concepts regarding computer science and web development.
2000
Data Analytics Program Certification
2018
Thinkful
Built upon previous data analysis knowledge to build useful applications. Developed several projects with real-world usefulness to prove comprehension of fundamentals.
2018
Verifications