Machine Learning C++

Nicolas Tan

Redwood City, California • +1-650-***-**** • ***********@*****.***

• linkedin.com/in/nicolas-tan • http://nicolastan.tilda.ws/ ABOUT ME - Bioemdical Engineer specializing in Mechatronics and Electrical Engineering from Northeastern University with over 6 years of experience in SolidWorks, focusing on FEA and GD&T, and 3 years in script development with Python, MATLAB, C++, SQL, and ROS for complex applications. My expertise includes 2+ years in Robotics System Integration, Design Verification, and Hardware / Software Automation Testing, leveraging tools like Squish GUI / Selenium for precise analysis. I have contributed to immersive electromechanical device R&D projects for over 2 years, involving Serial Arm Manipulators, PCBs, Biomaterials, and Virtual Reality applications. I excel in Verification & Validation (V&V), test method development, and reliability engineering, ensuring robust engineering solutions in diverse technological landscapes.

EDUCATION

Northeastern University • Boston, MA • GPA: 3.8 • 07/2017 - 12/2022 Candidate for Bachelor's in Biomedical Engineering, Minor in Electrical Engineering Activities: BAJA, SASE, NER Electric Racing, NU Aerospace, Asian Student Union, NU Electronics, NU Biomedical Engineering Society, NUVR

Stanford University • GPA: 4.0 • 01/2023 - 05/2023 Extended Studies in Computer Science

Python CS 62: Advancing in Python for Data Science and Machine Learning. College of San Mateo • GPA: 4.0 • 08/2023 - 12/2023 Extended Studies in Computer Science

Computer Architecture, IOS Swift Programming, Network Fundamentals, C++ Data Structures. WORK EXPERIENCE

Johnson & Johnson, Monarch • Redwood City, CA • 10/2023 - 06/2024 Software Test Automation (STA) Engineer - Urology 2.1 & Bronch 4.2, Platform

• Automated 40% of pre - Design Verification test case scripting using Python and C++, significantly boosting efficiency over 18+ former offshore scripts with post implementation on the CI/CD infrastructure.

• Developed and executed GUI and Bash scripting for internal telemetry applications, electromagnetic sensor processors, and simulators.

• Pioneered 21+ Software Integration Testing (SIT) and Software Requirement Specifications (SRS) protocols per Release Candidate, identifying and resolving 43+ R&D Blocker status defects, achieving 200% OKR Metric Nicolas Tan

Redwood City, California • +1-650-***-**** • ***********@*****.***

• linkedin.com/in/nicolas-tan • http://nicolastan.tilda.ws/ Goals during the 2024 Design Verification Season.

• Directed Debian flashing, 11 QA-Cerified Test Plans with 32 Test Case generations, alongside triaged 73+ bug verification rickets per quarter, ensuring 100% on-time delivery as the internal team’s Hardware & Software Test Lead.

Intuitive Surgical, Inc. • Sunnyvale, CA, USA • 11/2022 - 07/2023 Product Engineer / Systems Supplier Engineer III - Ion + DaVinci XI

• Troubleshot various functionality and maintenance issues with complex electromechanical designs, research & testing with Design Engineers for 13+ Capital Product Subsystems (Tower, Arms, I&A, Tools, Product SW).

• Gained Clearance for GD&T Y14.5 and hands on exposure to DFM through VR/NCRs, as lesion to 16 Contract Manufacturers. Conducted on-site CAPA meets (Six Sigma).

• Conducted Quality Reviews (History Checks, Performance Impact Assessments) using SAP/Agile PLM for process control on incoming material (warehouse/inventory), non-conforming parts, and for product reliability.

• Developed 4 mixed-signal PCBs (LED Ring, Insertion, Elevation, ISA Carriage) from ideation to circuit design to stackup in Altium, including leading prototype validations by testing SSS design specifications. Assesed timeline impacts with EE/Systems Managers.

• Spearheaded 5 impactful mixed department projects as Technical PM Lead, improving the manufacturing line production rate by +300 and decreasing the time for full product delivery to an increased pace by 3 weeks

(introduced ITK for CT scan segmentation analysis, Blender, JFrog for artifactory, OrCAD for fixture design). Johnson & Johnson, DePuy Synthes • Raynham, MA, USA • 05/2022 - 08/2022 Regulatory Affairs Strategist - Spine

• Defined regulatory guidance to the product development team, defining regulatory strategies, contributing conformance to applicable regulations FDA/ISO & MDR 2017/745 in lifecycle documentation management to support efficient timelines.

• Understood the system of Ottava and Spine Product, leant hands-on training of harness drawing assembly and technical issues commonly occurring. Learning of the harness routing organization allowed a 200% increase in productivity post-QMS strategy plan I spearheaded. Generated redline documentation for SOPs with Upper Management.

• Developed and implemented an EOL test equipment management system, enabling diagnostics of data collected by EOL systems, contributing to streamlined manufacturing diagnostics. Hunniwell Lake Ventures, Llc • Palo Alto, CA, USA • 09/2021 - 12/2021 Venture Capital Analyst - Surgical Robotics SME

• Deal sourced and screened 30 Seed - Series C startups innovating in minimally invasive GI tract robotic surgery • Conducted 2-on-1 interviews with CEOs and Limited Partners (LPs), while conducting due diligence for shortlisted.

• Prepared 30+ presentations for management and clients, outlining potential investment opportunities and personally developed risk reports regarding valuation expectations, exit strategy, and the competitive Nicolas Tan

Redwood City, California • +1-650-***-**** • ***********@*****.***

• linkedin.com/in/nicolas-tan • http://nicolastan.tilda.ws/ landscape.

• Negotiated equity ownership percentages, liquidation preferences based on industry standards and current market trends under mentorship.

• Conducted 2-on-1 interviews with CEOs and Limited Partners (LPs), while conducting due diligence for shortlisted.

SynCardia Systems • Palo Alto, CA, USA • 09/2021 - 12/2021 Product Design Engineer - BiVAD & TAH, Artificial Heart

• CAD modeled pulmonary pump designs (LVAD, BiVAD, TAH) for preliminary systems design in SolidWorks & open-source applications, including PCB design toolbox from component selection to standard schematic design and layout. Self-created fixtures with tooling available. Utilized Altium for schematic capture and LTSpice for verifying against simulations. Gained heavy exposure to DOE, DFM, and standard mechanical architecture.

• Curated the official Q3 2022 Pitch Deck, deriving metrics and providing technical background for 70cc/50cc Total Artificial Heart Driver, especially for reports on mechanical performance design changes on release candidate builds.

• Crafted wiring diagrams for harness drawings in addition to physically crimping/assembling such features to integrate into the full system. Created 11+ point-to-point wiring for component layout, documenting reworks and managing BOM procurement.

• Following 5S principles, became an expert at basic wiring, connecting sensors & power supplies, soldering, repairing small electronics and sensors, using DMM, power tools and understanding electrical and rotating equipment hazards (Low and High Voltage)

• Developed 3+ major data logging mechanisms to capture and store performance data during testing, enabling in-depth analysis and reporting for quality assurance and process optimization. Nuvera Fuel Cells • Billerica, MA, USA • 01/2020 - 05/2020 R&D Engineer - Battery Fuel Cell Stack

• Curated 80 SolidWorks models with GD&T and BOMs; Drove Finite Element Analysis (FEA) reviews for stress-strain diagnosis and tolerance stack anlaysis.

• Accomplished thermal deformation reduction for Membrane Electrode Assembly sub - gasket sealings through reliability testing.

• Procured and experimented biomaterials on flow field plates, optimizing hydrodynamic and durability performances by 200%.

• Automated electromechanical bench testing tasks to alleviate time consuming manual labor through standard embedded controls

Harvard University Samuel Labs • Cambridge, MA, USA • 01/2019 - 12/2019 Neuroscience Research Fellow Assistant - Larvae Sensory

• Mapped neural circuits and linkage to behavior in Drosophila larva, data munged with • BioPython and LabVIEW for thermotaxis tracking. Co-authored in a publication “Neuronal Polychromatic Atlas of Landmarks for Whole-Brain Imaging in C.elegans Ionotropic Discovery.” Nicolas Tan

Redwood City, California • +1-650-***-**** • ***********@*****.***

• linkedin.com/in/nicolas-tan • http://nicolastan.tilda.ws/

• Implemented MATLAB GUIs with a Nikon NIS Element to undergo femtosecond signal processing assays for odor concentrations in clean room.

PROJECTS

Domains include Surgical Robotics, Hydrogen Vehicles, Aerospace, Consumer Electronics. Infintie Length Microscope

AI in Motion Hackathon - Automated Wetlab Pipetting Process to develop more efficient throughput for cell identification. Utilized 3rd Party RestAPI and FastAPI frameworks in Python embedded with particular biomedical hardware to generate gantry motion in vector space using kinematic equations. Grew more familiar with network protocols for SSH and RTI communication. Generated KNN Cluster as a machine learning model to provide a simplistic yet accurate cell detection counting script using computer vision with OpenCV and handmade dataset. Supported Figma to React pipeline for livestreaming microscope with real-time video capturing. Awarded 1st Place out of 60 Teams.

Mixed-Signal DAQ PCB

Detailed in Altium Designer, aimed for propulsion telemetry aquisition: High speed, analog/digital circuits with high frequency power supply designs with reduced switching noise. Performed PCB bringup by routing board for optimal impedance control on the rocket's nose cone. Manipulated firmware on STM32 for communication protocols

(CAN, LIN, UART/SPI/I2C) for peripherals (IMU, GPS, BLE).Won 2nd Place of 70 at regional BattleBots 2022, spearheading NEU.

ML Thoracic Surgery Predictor & Deadlifting Posture Corrector Incorporated Darknet YOLOv7 OpenPose in Python for real-time computer vision, post sampling extrapolation, visualization and KNN predicting. Dabbled in SQL, XML & JSON databases. Asserted test cases and ran troubleshooting with resources, querying through usage of Numpy, Pandas. Gained exposure to PyTorch. Awarded a grant for continuation. Ran medium scale database scraping using Amazon AWS S3 Cloud. Visualized with clinical proven scans and slicing through Materialize Magics software. Exposed to Spark.. Health Fitness AR: React Nattive / Full Stack

Google Maps Hackathon - Interfaced two Google Map APIs to develop an app that utilizes path tracking and real-time geolocation infographic popups for interaction. Originally Swift turned Full Stack. Wearables implementing I/P with research done on plastics mechanical design and flexible printed circuits (FPC). Conducted high yielding performance studies from local lab resources and utilized SQL to extract data for biostatistics. Ran MiniTab to ease Gage R&R and gen model inferencing. Learnt fundamentals from coursework prior teaching FDA, EEG testing (electrode testing). Curated System integration lessons from personal hobby myoelectric prosthetic arm. Awarded 1st Place out of 120 Teams.

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