Michael Perillo Email & Phone Number

Mclean, Virginia, United States

- Led the design and implementation of new features for anti-money laundering (AML) platforms, focusing on scalability and reliability.- Owned administrative processes, coordinated with product teams and developed standard procedures alongside automations to facilitate these processes using Python and Go to achieve business goals efficiently.- Managed full lifecycle of critical infrastructure projects from initial proof-of-concept to full production deployment using AWS and serverless architectures.- Spearheaded initiatives to standardize documentation and automate dependency management, significantly reducing vulnerabilities and maintenance overhead.

New York, New York, United States

• Full Stack Development: Synthesized and automated mappings of position data via intex, and Bloomberg. Created a Trace DB by pulling prices and other statistics via the Bloomberg API to generate trace price data and other statistics on positions of interest. Integrated new data sources into risk model, implemented flask endpoint to return these statistics from the database; using React and AG Grid, formatted and displayed the data within the firm’s internally developed UI – Galileo • Software Development: Using object-oriented design, automated the generation of compliance emails using SQL and pandas. Developed marketing spreadsheets using xlsxwriter; parsed HTML from dealer offering emails, allowing the firm’s trading team to view all offerings using consistent assumptions and valuations

New York, New York, United States

- Assisted in refactoring credit models to improve base runtime- Converted existing python objects to C++ using boost libraries in order to increase efficiency- Performed empirical analysis on code runtime and recommended optimizations based on results- Worked 1 on 1 with a member of the quantitative risk team to coordinate development with daily standup meetings

New York, New York, United States

- Aided bleeding edge machine learning researchers on pioneering new methods for small object detection- Assessed different methods of structuring convolutional networks, researched spiking neural networks and neuromorphic hardware- Developed multiple types of neural nets using TensorFlow Keras- Coordinated efforts with multiple research groups across the country all focusing on the same project

New York, New York, United States

- Developed an automated tool for coalescing and parsing profit and loss data, SQL for later analysis using R- Collaborated with members of the risk analysis team on implementation details, participated in code reviews, and introduced methods of upscaling- Built first prototype of Libremax’s internal performance attribution tool (Galileo)