Maithily Ramesh Puranik

1. Generated and validated multiple combinations of computational grids for solid–liquid porous media interaction simulations, ensuring mesh quality and consistency for downstream numerical analysis. 2. Performed pre- and post-processing of simulation data in ParaView and Python, extracting and visualizing key results across multiple simulation runs to support model validation and interpretation. 3. Restructured legacy simulation code in Python, improving readability and maintainability and reducing debuggi

1.Contributed to improving data flow efficiency and optimizing end-to-end workflows. 2.Automated recurring jobs to reduce runtime by 50% and enhance system performance. 3.Built data transformation objects to support structured data processing and reporting. 4.Provided production support by resolving failures, implementing hotfixes, and ensuring system stability. 5.Performed data analysis, validation, and incident resolution based on user-reported issues. 6.Was team lead for project thread and collaborated

1.Led a student team in the design and development of UAVs 2.Participated in SAE Aero Design and Boeing IIT Aeromodelling Competition. 3.Used Solidworks and Siemens NX to design the aircraft and Ansys to run simulations on structural integrity.

1.Interned in the Design & Quality Department, supporting engineering design evaluation and quality assurance processes. 2.Assisted in process mapping to analyze and improve workflow efficiency. 3.Observed design validation and quality control procedures in manufacturing environments.

1.Gained exposure to heavy equipment manufacturing and large-scale production systems. 2.Developed practical insights into industrial standards, safety protocols, and real-world engineering constraints. 3.Observed end-to-end manufacturing processes of equipment for dump trucks, motor graders, and defense vehicles.

Projects: 1.CNN Based leaf disease detection using an AGV 2. Image processing based leaf disease detection using Quadcopter