I’m a Software Systems Engineer passionate about developing intelligent machines that can sense, analyze, and act.
My work bridges embedded software, sensor data analytics, and robotic autonomy - connecting the low-level firmware that drives sensors with the high-level algorithms that interpret them.

• Software Systems Engineer @ Belcan
  Working in Diagnostics, Prognostics, and Health Management (PHM) for Pratt & Whitney engine systems.
  I develop and validate data-driven diagnostic algorithms that analyze complex sensor signals, detect anomalies, and predict system degradation.

• Core Expertise

  • Sensor Integration: Embedded firmware, RTOS, ROS drivers, and real-time data acquisition
  • Data Analytics: Signal processing, health monitoring, and sensor data pipelines
  • Algorithm Development: Control systems, path planning, and SLAM fundamentals

My long-term focus is to develop robotic systems that combine robust sensing, intelligent analytics, and autonomous decision-making.

An autonomous mapping platform for structural inspection and environment scanning.

• Integrated Unitree LiDAR L1 with Raspberry Pi 4 running Ubuntu 20.04 and ROS Noetic.
• Implemented real-time SLAM using Point-LIO for dense LiDAR-based mapping.
• Developed a Linux systemd service to automate boot, mapping, and remote data retrieval.
  Tech: ROS, C++, Python, LiDAR SDK, Point-LIO, Ubuntu, Bash

A 3D-printed robotic manipulator.

• Designed and fabricated all components with a FreeRTOS-controlled Arduino Mega.
• Developed multi-tasked servo control and trajectory sequencing via RTOS scheduling.
• Built a touchscreen HMI on Raspberry Pi for wireless command and position visualization.
• Incorporated ROS bridge integration using serial communication and micro-ROS.
• Implemented MoveIt2 robotic manipulation platform for robot control.
  Tech: C++, FreeRTOS, Arduino, Raspberry Pi, Python, Tkinter, ROS

• Mentoring a cross discipline senior design team in developing a Robotic Fleet Health Management System.
• Guiding students through system architecture, sensor integration, data pipelines, and anomaly detection for fleet analytics.
• The project integrates onboard sensors, real-time data transmission, and a dashboard for fleet diagnostics — extending my professional experience in PHM (Prognostics & Health Management) to autonomous robotics systems.
• Focus areas: sensor integration, data ingestion, edge analytics, database design, and real-time visualization for multi-robot fleets.

         ┌─────────────────────────────────────────────────────────────┐
         │                    ALGORITHM DEVELOPMENT                    │
         │ Control · Path Planning · SLAM · Estimation · Sensor fusion │
         │     Growth: Personal projects and PHM @ Pratt & Whitney     │
         └─────────────────────────────────────────────────────────────┘
                                        ▲
                                        │
         ┌─────────────────────────────────────────────────────────────┐
         │                   DATA INGESTION & ANALYSIS                 │
         │     PHM · Signal Processing · Analytics · Visualization     │
         │           Current Expertise: PHM @ Pratt & Whitney          │
         └─────────────────────────────────────────────────────────────┘
                                        ▲
                                        │
         ┌─────────────────────────────────────────────────────────────┐
         │           SENSOR INTEGRATION & EMBEDDED SYSTEMS             │
         │  Drivers · Firmware · RTOS · ROS Nodes · Real-Time Control  │
         │Strength: Personal/Univeristy robotics + embedded integration│
         └─────────────────────────────────────────────────────────────┘