Shreyash Pawar
Core Interests
My Curious, Practical, and Growth-Focused Approach
I explore, build, and iterate on ideas at the intersection of robotics, AI, and engineering—with a student mindset, driven by curiosity and real-world impact.
Design with Precision
I specialize in creating high-quality 3D models using Fusion 360. From mechanical assemblies to product-ready designs, I focus on both functionality and aesthetics.
Innovative with VR
Exploring immersive experiences through VR, I design interactive environments and interfaces that merge technology with human-centered design ideal for simulations, training, and futuristic applications.
Check out Aenrox Engineering - Our Student Based Startup!
Aenrox Engineering
Smart Solutions. Real Problems. Future Breakthroughs.
Currently Working On
Programmable Robotic Arm
This project showcases an industrial robotic arm designed for automated pick-and-place tasks commonly used in manufacturing environments. It focuses on precision control, efficient movement, and programmable automation. The system is ideal for repetitive industrial tasks and demonstrates core concepts in robotics, control systems, and real-world engineering applications.
Nearly Complete
Portable TMS Device
This project focuses on the development of a portable and compact TMS (Transcranial Magnetic Stimulation) device designed for non-invasive brain stimulation to aid in the treatment of depression. The system simplifies neural modulation procedures through a lightweight, user-friendly form factor suitable for clinical or research settings. Emphasis is placed on portability, ease of use, and reliable stimulation accuracy.
Successfully Executed
AI Stock Prediction Assistant
This project focuses on the development of an AI-driven bot capable of analyzing and predicting stock market trends with high accuracy. By leveraging historical data, technical indicators, and real-time market news, the bot uses advanced machine learning models to forecast price movements and assist in informed decision-making. We are actively performing multiple tests and validations across various market conditions to evaluate and improve the model’s performance.
