Chinmay Ratnaparkhe

Master's

Mechanical Engineering

Mechatronics, Robotics, and Automation Engineering

Spartificial Innovations

ML Content Developer Intern Letter of Recommendation

- Spartificial is a startup developing project-based learning solutions, emphasizing applications of Machine Learning in the space sector - Leveraged ML tools (sklearn, PyTorch, Keras) to create diverse projects, focusing on object identification and classification using extensive databases - Projects worked on: AI for Lunar Mapping and Autonomous Rover Navigation - Predicting Stars, Galaxies - Quasars using ML - Rooftop Solar Panel Detection using ML - Technologies: Image Segmentation, Python, Machine Learning toolkits: sklearn, PyTorch, Keras - ACADEMIC PROJECTS AND PAPERS - Study of Pulsating Fluid Flow in Flexible Microchannels - Publication - Publication: Presented at the 10th - International and 50th - National Conference on Fluid Mechanics and Fluid - Power (FMFP) in IIT Jodhpur - Experimenting with PDMS channels having varying diameters and mixing ratios (PDMS Monomer: Curing Agent) to understand the relation between pressure drop and viscoelasticity of straight circular-walled - Employing Ansys Fluent to validate the experimental results with simulation - Leveraging High Speed Camera and Inverted Microscope data capture to determine the nature of wall - Technologies: ANSYS Fluent, Microfabrication, CNC Laser Cutting, High-Speed Imaging, Microscopy - Automation in Design and Simulation of 3-DOF Robotic Arm - GitHub - Developed an automated system using Fusion360 API for design, fatigue analysis, and simulation of a robotic arm - Created an industry-ready system based on a market survey of components and costs, allowing users to input parameters to calculate the factor of safety and generate robotic arm simulations