Developed and tested control software for multi-million-dollar baggage handling systems (BHS), integrating 4000+ devices across 12+ Allend Bradley PLCs using RSLogix 5000, Ladder Logic and Structured Text for device automation, including photo eyes, EDS machines, Automatic Tag Readers, Diverters, Sorters and Variable Frequency Drives. • Configured communication protocols using an OPC Client and generating variables for I/O connections, ensuring correct node structure for the IO Tree, and connection with emulator controller in RSLinx and 5000 Logix Emulate, allowing to interface Echo PLCs with upper-level emulation in PICs Pro and FactoryTalk HMI. • Implemented an automated I/O simulation tool in Python using Tag Event Scripting via Ignition, generating 5000+ tags and 4000+ device templates in under 2 minutes for pre-FAT IO simulations in conjunction with PICs to simulate baggage flow, tracking logic, merge logic, validating test plans and ensuring enhanced troubleshooting for device level errors. • Updated and maintained 25+ Source Generator templates in C# for Smart Control project, used to produce L5K, CSV and JSON files for automated PLC code generation utilizing GitLab for version control, committing 35+ updates cutting template errors by 4%.

Developed and optimized firmware for ESP32 and STM32F401 microcontrollers, leveraging VESC for real-time data
acquisitions for display during performance testing allowing for the implementation of low-power modes to achieve 10%
reduction in power consumption.
• Implemented Over-The-Air (OTA) firmware update functionality and Serial code updates optimizing efficiency and
reducing downtime by 10 minutes per, contributing to streamlined debugging in collaboration with the Electrical team.

Designed and simulated a gear train assembly for a smart drug injector using Fusion 360 and AutoCAD, achieving an 18%
increase in injection efficiency through improved torque control and friction reduction utilizing gear ratio adjustments
and optimizing needle pressure for improved vane actuator performance.
• Leveraged KiCad for PCB design, minimizing ground plane errors and improved component selection to reduce
assembly size by 6% through the integration of a BLE module for secure mobile connection and improved battery life.
• Developed an automated VBA-powered calculator for gear mechanics, pressure calculations, enabling error handling and
dynamic design iterations, reducing recalculation times by 65%.

This project is a Sales Data Visualization Dashboard built using Streamlit, Pandas, and Plotly. The dashboard allows users to visualize sales data, apply filters, and view key performance indicators (KPIs).

This project is a Stock Data Visualization Dashboard built using Bokeh and yFinance. The dashboard allows users to visualize stock data, apply indicators, and compare two different stocks.

1. Extract MediaPipe Holistic Keypoints
2. Build a Sign Language model using a Action Detection powered by LSTM layers
3. Predict sign language in real time using video sequences

Toyota Innovation Challenge 2024, where our team tackled the challenge of designing and implementing solutions for Automated Guided Vehicles (AGVs) to navigate a manufacturing environment efficiently and reliably.

UltraVision is a robotic assistant designed to help the visually impaired navigate their surroundings. The system integrates an ESP32-CAM, ultrasonic sensors, and Google Gemini AI to provide real-time scene descriptions and obstacle detection via a Flask web server.

A racing game where players start with a gas-powered car and upgrade it to a fully electric vehicle by completing educational challenges. Players learn about automotive and electric vehicle technology while customizing their car.