Engineering Manager at Pangolinos at Harvard University (2025-05 – Present)
- Leading R&D for novel state of the art tagging and retrieval system for the endangered pangolin
- Co-led Research grant proposal and project planning for cross functional team, including risk and essential stage gates.
- Lead Engineering Design Reviews: managing team of 6 engineers, conducting CoDR, PDR of both mechanical and electrical subsystems for STM32 microcontroller based low-power PCB tag and LoRa (RF) communicating drone.
Mechatronics Engineer at CETI at Wood Micro Robotics lab Harvard University (2024-04 – 2026-04)
- Developed and coauthored deep-sea bio-logging robotics and automated systems for whale monitoring
- Electro-Mechanical design, manufacture, assembly and deployment of waterproofed complex whale-tag and antennae for in person subsea deployment from drones. Management of mechanical and electrical BOM to avoid production delays.
- DoE and Automated Validation: acoustic sensor arrays, antenna, adhesion systems, bio-tags and equipment, including automation of 10k PSI reactor vessel system for electronics through python, C++ and bash scripts.
- Rapid Prototyping: Greatly reduced cost/time between design iterations of electro-mechanical encapsulation/ housing through development of post processing method for in-house high detail 3D printed or CNC molds and epoxy.
- CAM and DFM: design/manage manufacturing processes and products using GD&T, cost, export compliance, and schedule.
- Continuous development and support: Establish documentation for NPI for international field teams to optimize user experience. Remote troubleshooting, repair and maintenance informing design and firmware improvements.
- Material Testing: Conducted in lab exploratory materials and process testing of encapsulation resin and silicone polymer for deep sea robotic applications, created internal database and tools for material and electrical component selection and developed new small scale manufacturing workflows, procedures and SOPs.
- Materials handling: Developed custom shock-absorbing foam and rigging for holding and transport of sensitive electronics facilitating waterproof one case field experiments.
R&D Engineering and Machine Learning Contractor at PepsiCo/Rose Int. (2022-06 – 2022-08)
- Worked with AI and data teams to audit current machine learning projects and implement machine learning to Food R&D
- DevOps: Created tools to track and assess current and future tech debt on key AI/ML projects.
- Developed strategies & standardized docs that reduced personnel onboarding times by ~40% for internal data research.
- Integration of intelligent systems: implemented online testing to pilot plant manufacturing lines, and researched new tech.
Technical & Business Project Lead at LabCycle (2022-02 – 2022-06)
- Designed proof of concept for an automated industrial recycling plant for bio-contaminated plastics
- Process Scaling and Systems Integration: Translated a benchtop laboratory process into a blueprint for a continuous-flow manufacturing facility, solving material handling challenges for scaling from kg-level to 1 tonne/hour.
- Plant Automation: Designed the Distributed Control System (DCS) using custom low budget micro controller based PLCs (low initial cost), pumps, and sensors into a centralized control loop. Simulations used to improve throughput.
- Material Handling: Managed the full safety & control integration of the pilot line in CAD and eCAD (fusion 360 and Cadence), including hoppers, conveyors, and fluid handling systems as translated from benchtop prototype.
- Simulation: Utilized Finite Element Analysis & CFD (ANSYS) to optimize centrifugal pump and circulation system.
