Stealth

Co-Founder & CTO

Inscribe AI

After establishing a strong foundation in AML and fraud prevention, I created and led the credit analysis team, extending the company’s compliance expertise to include due diligence for onboarding and credit risk assessments. This work supported fintech leaders like Coast and BlueVine, enabling them to streamline their onboarding and credit analysis workflows.

Key accomplishments:

• Developed automated credit analysis systems to enhance underwriting processes and ensure accurate risk assessment for fintech providers.

• Designed and implemented due diligence frameworks that applied compliance-grade checks to onboarding and credit risk management.

• Partnered with leading fintech companies to deliver tailored solutions for compliance and credit analysis, directly impacting operational efficiency and regulatory adherence.

Credit Analysis Team Lead

As one of the early engineers at Inscribe.ai, I designed and implemented the company's anomaly detection infrastructure and AI/ML models. I led the development of robust AML and fraud prevention systems, collaborating with industry leaders like Stripe, Coinbase, and Brex to safeguard their onboarding operations.

Key accomplishments:

• Built and scaled transaction and onboarding monitoring systems to detect anomalies and prevent fraudulent activity across fintech platforms.

• Led the creation of comprehensive KYC, KYB, and KYX workflows, enabling seamless document verification, ID checks, and compliance processes for high-growth companies.

• Designed and implemented AI-driven fraud prevention mechanisms to streamline compliance for global enterprises.

Senior Software Engineer @ Fraud Prevention Team

Stanford University

I co-founded a robotics company to revolutionize logistics using cutting-edge multi-robot systems, drawing directly from the latest advancements in autonomous robotics research at Stanford University.

• Developed a multi-robot cargo maneuvering platform in collaboration with FedEx and DHL, piloting solutions for real-world logistics challenges.

• Built a team of five experts, including software engineers and roboticists, to advance autonomous robotics innovation.

• Spun out from Stanford's autonomous multi-robot research group, leveraging state-of-the-art findings to drive innovation.

• Designed and built our entire autonomous multi-robot stack and hardware from scratch, delivering a fully customized solution for autonomous cargo handling.

Researcher & Spin out Co-founder

PACCAR

PACCAR Innovation Center

• Synthetic sensor data generation using deep learning techniques for simulation purposes

• Contoller design and testing

• GPS and lidar localization integration

Autonomous Driving Software Engineer

Corlytics

• Designed and constructed high performance financial regulation ML text classification pipeline, containing: automated database connection and data retrieval, custom word vectorizer, stacked cross validation text classifier - combining multiple regressors, spam filtering

• Developed and tuned text entity extractor using Python and advanced NLP methods

• Interfaced both models with existing SQL databases and integrated models in production products

Software Developer & Data Analyst

European Space Agency - ESA

Development and testing of the Attitude Determination & Control System (ADCS) of EIRSAT-1

- The first Irish satellite, expected launch 2019	

- In collaboration with the European Space Agency Technology Programme

- Modelled orbital dynamics and kinematics of 2 unit CubeSat using MATLAB Simulink

- Optimized ADCS model to account for varying geomagnetic field using IGRF data and disturbances; Solar radiation pressure, Internal magnetic dipole and Aerodynamic drag

- Interfaced Simulink model with CubeSat hardware to produce Hardware in the Loop model in order to test commands at ground segment

Attitude Determination & Control System Development and Testing

Ziffren Brittenham, LLP

-	Investigated high volume, unstructured and outdated data sets to determine a pattern 

-	Deployed back propagation neural network using MATLAB to extract relevant data

-	Optimized algorithm by analysing cost functions of cross validation and training sets

-	Uploaded and sorted data using Structured Query Language (SQL)

-	Collaborated with IT to produce Audit Tolling App on K2 platform to access extracted data
 
-	Presented and trained staff to use the Audit Tolling App

Data Analyst

Berendsen Ireland

-	Collaborated with a team of three and the plant manager to develop a system to improve the efficiency of the production line, resulting in an increase of  ~2000 more units per week in factory capacity

-	Aggregated ABS customer database and survey data sets for over 500 clients 

-	Designed and executed customer surveys

-	Assembled and presented customer survey reports which enabled the company to focus on areas such as delivery timing and quality control

Process Engineer

-	Installed Kannegiesser Power Swing motor overnight with a team of two engineers to restore the factory to full capacity as quickly as possible

-	Measured and analysed factory water usage to detect leaks and minimize costs

-	Monitored PH level of boiler water samples to ensure optimal and efficient use of chemicals

-	Repaired and maintained; Lavatec dryers, Kannegiesser; washing, folding and Ironing machines to ensure no disruptions to production line

Maintenance Engineer

Building something new at the intersection of private equity and AI.

Co-hosting the Savvy Capital Show, where we dive into real-world investment strategies, challenges, and insights from top industry practitioners.

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