Welcome to my GitHub! I'm passionate about building robust embedded systems that bridge the physical and digital worlds. With 9+ years of experience, I specialize in developing firmware for IoT devices, automotive systems, and health technology platforms.

• Wireless EV Charging Systems - Developing alignment algorithms and safety systems for inductive charging infrastructure
• RainGauge Weather Station - ESP32-based IoT system for precision rainfall measurement and wireless data transmission
• AI-Powered Health Monitoring - Advancing contactless biometric sensing technology

🎯 Patent Co-Inventor: US20240206745A1 - "System and Method for Monitoring a Person for Signs of Sickness" Breakthrough contactless health monitoring combining radar sensing, computer vision, and machine learning

• Developed firmware for wireless charging systems across ARM microcontrollers and embedded Linux platforms
• Implemented critical safety algorithms for vehicle alignment and foreign object detection
• Debugged complex cellular modem connectivity using low-level AT commands

• Core team member delivering IoT baby monitor with radar-based breathing detection
• Co-invented patent-pending AI illness detection system
• Architected BLE/WiFi pairing flows and implemented computer vision features
• Developed in multithreaded Yocto Linux environment with AWS IoT integration

• Embedded systems intern working on military/civilian radio platforms
• Ported 40,000+ lines of legacy 8051 code to 32-bit ARM architecture
• Performed board bring-up and hardware validation for audio/video peripherals

Python-based AI engine controlling a 5-DOF robotic manipulator to play board games autonomously

• Tech: Python, VREP Simulation, Alpha-Beta Pruning, Iterative Deepening
• Achievement: HAL 9000-inspired AI that bridges gaming and robotics

1U satellite embedded systems for NASA weather data collection mission

• Tech: STM32, FreeRTOS, Altium PCB Design, LTSpice Circuit Simulation
• Role: Payload module development and sensor integration

Comprehensive ESP32-based weather station with precision rainfall measurement and wireless data transmission

• Tech: ESP32, MQTT, DS18B20/BMP280 sensors, OTA updates, Deep Sleep
• Features: Interrupt-driven rain detection, battery monitoring, modular design
• Analytics: Full docker-based IoT backend ESP32 → MQTT → Telegraf → InfluxDB → Grafana

Low-level ARM Cortex-M4 device driver with interrupt-driven I2C communication

• Optimization: Faster data acquisition using EOC external interrupts
• Platform: STM32F407 with hardware abstraction layer

🏫 New York University - B.S. Electrical & Computer Engineering (2017)
Focus: Robotics, Real-Time Embedded Systems, Artificial Intelligence

Verify Here - Code: 1702-F99A-D9H9, Name: Da

👥 Leadership Roles:

• NASA Robotics Competition Team Captain
• IEEE Student Member
• PolyBots Robotics Club

• 🎬 NASA TV Interview: Featured live on NASA EDGE during robotics competition
• 🏆 NYU Website Article: Led sophomore team competing against graduate students
• 🔧 NYU Newspaper Article: This was a print article on our team preparing for NASA.

"Imagination is more important than knowledge. Knowledge is limited. Imagination circles the world." - Albert Einstein