Leadership & Project ManagementLed and managed 20+ undergraduates in developing new EE/CS platform for '23E/'24E.Founded and led 30-person team (undergraduate + graduate) for Autonomous Karting Series.Created CI/CD pipelines using Gitlab + runners for distributed team collaboration.System Architecture & DesignDesigned low-level embedded C architecture with low-latency design patterns.Architected real-time distributed systems for vehicle control, achieving… Show more Leadership & Project ManagementLed and managed 20+ undergraduates in developing new EE/CS platform for '23E/'24E.Founded and led 30-person team (undergraduate + graduate) for Autonomous Karting Series.Created CI/CD pipelines using Gitlab + runners for distributed team collaboration.System Architecture & DesignDesigned low-level embedded C architecture with low-latency design patterns.Architected real-time distributed systems for vehicle control, achieving <9ms latency.Implemented RTOS-based firmware with SIL testing via Renode emulation for ARM cores.Designed PCBs, data/IO architecture, logic/fault/safety systems for DAQ/BMS/CMU/VCU using STM32 F-series MCUs, TI AM263x, ASICs.Created hierarchical state machine architecture with interrupt-driven fault detection.Hardware Integration & TestingConducted PCB validation using oscilloscopes, multimeters, debug probes (JTAG, SWD).Implemented CAN bus communication framework handling 500+ messages/second.Integrated multi-platform system combining Jetson + ESP32 + STM32 + ICs.Autonomous Systems DevelopmentOptimized LTCN/Neural ODE implementations through graduate mathematics and ISA optimizations.Enhanced neural network performance via hardware acceleration (ARM + CUDA, LX7+FPGA).Developed sensor fusion system integrating: multiple camera feeds with real-time processing, IMU data for motion tracking, environmental sensor data.Implemented custom SLAM algorithms for sub-meter accuracy in dynamic environments.Created simulation and testing infrastructure.Integrated Airsim and CARLA for environment modeling.Containerization using Docker for deployment.Hardware-in-loop testing via Renode/Verilator, reducing testing time by 90%Developed autonomous navigation architecture with:Parallel asynchronous process managementDynamic state handlingGain Scheduled PID ControllersIntegration with airborne systems (PX4, ROS, for optional spinoff)Optimized control loop latency Show less

Co-founder. Project manager developing Autonomous systems by furthering the bleeding edge of applied math research through optimization onto embedded platforms and distributed edge systems. Research includes optimization of modular/end-to-end DL systems and stochastic autonomous systems.Currently optimizing theory in simulators and methods for deployment on both the NVIDIA Jetson Platform and custom hardware.

Setup and management of backend solutions, payment integrations, cloud infrastructure. System/services architect. Emphasis on constructive client relations and contract advisement.

Planned, created and deployed mayoral and congressional campaign org-wide IT infrastructure (Enterprise enrollment, Admin Console, etc). Developed tools bridging varied dynamic data sources into a unified platform for client purposes. Applied large data systems (PDI, Phoneburner, etc) and reverse-engineered data workflows, creating APIs for campaign. Analyzed data and automated processes using Selenium, Pandas, Python, Excel, etc. Developed data science pipeline, (cleaning, analysing/modeling… Show more Planned, created and deployed mayoral and congressional campaign org-wide IT infrastructure (Enterprise enrollment, Admin Console, etc). Developed tools bridging varied dynamic data sources into a unified platform for client purposes. Applied large data systems (PDI, Phoneburner, etc) and reverse-engineered data workflows, creating APIs for campaign. Analyzed data and automated processes using Selenium, Pandas, Python, Excel, etc. Developed data science pipeline, (cleaning, analysing/modeling, presenting, via MATLAB and toolboxes to create and deploy neural net + optimization models for hypertargeting and increasing resource deployment efficiency. Facilitated mayoral campaign in making data-based decisions with applications of statistics and front-end frameworks (React) for easy-to-understand insights.Simultaneously managed organizations and subteams of 200+ personnel, covering management philosophies, field strategies, resource allocation, and both intra-org communications as well as external communications—both for incumbent/aspiring public officials and special interest groups. Show less

System architect and lead developer of full-stack applications and data pipelines for the most innovative leader in the sports media space. Leading DevOps and product development. Innovating proprietary architectures and AI solutions with a focus on leveraging transformer models within DL pipelines under an edge computing paradigm. Designing computer vision systems to automate labor-intensive tasks, while simultaneously developing image-segmentation and preprocessing pipelines for enhanced… Show more System architect and lead developer of full-stack applications and data pipelines for the most innovative leader in the sports media space. Leading DevOps and product development. Innovating proprietary architectures and AI solutions with a focus on leveraging transformer models within DL pipelines under an edge computing paradigm. Designing computer vision systems to automate labor-intensive tasks, while simultaneously developing image-segmentation and preprocessing pipelines for enhanced system performance. Financially advising leadership, management, and corporate strategy—both in planning and execution. Show less

Created tools in ThinkScript and data processing in Python/MATLAB for myself and a group of full-time traders. Simplified high bar-of-entry concepts for non-mathematicians/financial engineers, applying graduate level maths, self-taught concepts (stochastic calculus to time-series data, Taleb and Sinclair’s Options/Dynamic Hedging), whitepapers (NOPE), and using liquidity/option data to generate predictive likelihood distributions for indices and market volatility.

Created algorithms, scripts and tools in Python for bespoke solution allowing for mass-filing of client financial/tax documents to governments. Used Git and Jira for tracking, QA, and validation tests. Provided technical support in software for corporate clients. Advised and accommodated 50+ Fortune 500 companies with sales and technical issues. Closed 250+ sales of software, provided demonstrations, and collected feedback to improve software.

Sysadmin for several months, facilitated data entry goals for healthcare holdings company (ZA Management). Optimized tasks through automation/programming solutions in Java/Python/JS. Managed and accelerated project timeline by 9 months, saving the company at least $100k in temp costs. Managed cloud back-end, researching/implementing regulation compliant solutions.