| | | 20,000+ Fresh Resumes Monthly | |
|
|
| |
Click here or scroll down to respond to this candidateCandidate's Name
Indianapolis, IN PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLE SummaryMechanical Engineering graduate from Purdue University with expertise in CAD design, FEA analysis, and Python programming. Proven ability to design and optimize mechanical systems and manufacturing processes through hands-on project experience. Known for a strong analytical mindset and problem-solving skills, ready to contribute to innovative engineering solutions in design and manufacturing roles. EducationPurdue School of Engineering and Technology Indianapolis, IN, USA 2024 MS in Engineering Thesis: "Elliptic Integral Approach to Large Deflection in Cantilever Beams: Theory and Validation" Purdue School of Engineering and Technology Indianapolis, IN, USA 2023 MS in Mechanical EngineeringK.J. Somaiya College of Engineering Mumbai, India 2020 B. Tech in Mechanical EngineeringRelevant Courses:Advanced Finite Element Analysis Composites for Automotive Applications Optimization for complex mechanical systems Probabilistic Design in Engineering Machine Learning CAD/CAM Robotics Vehicle Dynamics Hybrid Electric Powertrain SkillsSolidworks (CSWA-Mechanical design) GD&T Python Autodesk (Fusion, Inventor) Creo CFD AutoCAD ANSYS APDL OptimizationANSYS Workbench Composite Materials Analysis Abaqus MATLAB Siemens NX Machine Learning ExperienceGraduate Teaching Assistant Sep 2021 - Dec 2021Purdue School of Engineering and Technology Implemented a revised grading rubric and feedback system, boosting student pass rates by 25% in Heat and Fluid Transfer courses. Enhanced student comprehension by accurately grading and providing timely feedback on homework and exams Resolved student inquiries and concerns, utilizing strong problem-solving skills to increase course engagement and satisfaction. Mechanical engineering intern Sep 2020 - Feb 2021Catalyst Composites Solution Contributed to finding design solutions for industry problems in a team environment. Designed a food vending machine using SolidWorks, achieving a 15% increase in storage efficiency and reducing production costs by 12% through improved component layout and material selection. Developed and implemented a Python-based image processing algorithm that increased defect detection accuracy on sheet metal by 30%, utilizing OpenCV and machine learning techniques. Assisted in the design and testing of mechanical components, leading to a 15% improvement in product efficiency by applying CAD software and collaborating with senior engineers on simulation analysis. ThesisElliptic Integral Approach to Large Deflection in Cantilever Beams: Theory and Validation May 2023 - Jun 2024 Developed a comprehensive analysis framework, achieving accurate large deflection modeling in cantilever beams with variable cross- sections, improving prediction accuracy by 15%. Utilized elliptic integrals and numerical integration, reducing computational errors by 20% compared to traditional methods. Implemented Python scripts for simulations, processing over 1,000 data points with 98% accuracy. Conducted a successful thesis defense, resulting in a distinction and showcasing a robust understanding of beam theory and advanced structural analysis techniques.ProjectsComputer Aided Design and Analysis of Electric Scooter Feb 2023 - Apr 2023 Managed CAD engineering of an electric scooter in NX CAD, incorporating technical drawing principles and design validation to enhance product lifecycle management. Optimized CNC G code for parts in NX CAM, reducing cutting time by 15% and demonstrating problem-solving skills in manufacturing process planning. Conducted advanced Ansys Mechanical and Modal analysis, increasing structural integrity by 20% and ensuring optimal frequency modes, surpassing design specifications. Investigated and applied project management and research disciplines to streamline design and development, integrating Creo for design iterations when necessary. Led a team in the iterative design process, ensuring all components met stringent quality and performance standards. Investigated and resolved a 10% discrepancy in modal analysis predictions, improving the model's accuracy and reliability. Tool Stress Reduction through Optimized Cutting Velocity using Gaussian Process Regression Mar 2022 - May 2022 Researched and developed Bayesian optimization techniques, achieving a 20% reduction in tool wear and a 15% increase in production efficiency. Utilized coding skills and mechanical engineering principles to balance cutting velocity, significantly reducing production time. Assisted in project management by integrating CAD tools and Solidworks for design validation, enhancing blueprint reading and technical drawing accuracy. Researched and applied Gaussian Process Regression to optimize cutting velocity, achieving a 25% reduction in tool stress and a 10% improvement in overall production lifespanFinite Element Analysis (FEA) of orthogonal cutting tool Dec 2021 - Feb 2022 Designed and developed FEA models of orthogonal cutting tools in Abaqus, focusing on stress and heat generation to enhance machining performance. Utilized Solidworks for detailed design validation, optimizing cutting parameters to reduce manufacturing time by 20% and material waste by 15%. Investigated FEA results to provide strategic recommendations, improving tool design and achieving a 30% increase in tool durability, lowering operational costs. Independently conducted research, employing problem-solving skills to identify optimal performance factors, minimizing failure risk and enhancing design efficiency. Utilized CAD software to create detailed working diagrams of the cutting tool, streamlining the design process and enhancing accuracy. Design and analysis of crankshaft Nov 2021 - Dec 2021 Designed the crankshaft using SolidWorks for precise detailing. Analyzed crankshaft performance with ANSYS through Finite Element Analysis (FEA).. Conducted fatigue analysis on the crankshaft using ANSYS to predict its lifespan under cyclic loads, resulting in a 15% improvement in durability. Validated manufacturing feasibility and optimized material selection, reducing production costs by 10%. Design and development of object following robot Jul 2019 - May 2020 Designed and developed an industrial-grade object-following robot, enhancing efficiency by 20% through algorithm optimization, reducing operational delays. Analyzed structural integrity using Ansys for FEA, optimizing for dynamic environments, aligning with Product Lifecycle Management principles. Managed testing phases, increasing tracking accuracy by 30%, ensuring product reliability in dynamic environments. Led project phases autonomously, showcasing leadership in CAD design and Mechanical Engineering, improving project management and design validation processes. Integrated Creo for technical drawing and schematics, advancing robot's design and engineering, meeting rigorous research and problem- solving standards.Extracurricular ProjectsDesign Lead Aug 2016 - Mar 2020Team Onyx India (Aero-design Team of K. J. Somaiya College of Engineering) Initiated self-driven projects to solve complex aerodynamics problems, demonstrating strong problem-solving skills and mechanical engineering expertise with minimal support. Managed CAD engineering and research to improve aircraft wing design efficiency by 15%, utilizing Creo for advanced modeling and rapid prototyping. Developed and executed a streamlined design validation process, incorporating technical drawing and project management principles, increasing team efficiency by 20%. Analyzed and enhanced wing structural integrity through finite element analysis (FEA) in Ansys, achieving superior flight stability and meeting rigorous testing standards. Led the fabrication of aircraft components, focusing on discipline and maintenance best practices to ensure quality and adherence to schematics. Spearheaded a cross-functional team to streamline the product design phase, reducing time to production by 30%. |
