Prathamesh Korgaonkar Email and Phone Number
I’m passionate about how engineering can shape the world around us. Currently, I’m pursuing a Master’s in Mechanical Engineering at Northwestern University (GPA: 3.8/4.0), with a focus on CAD modeling and machine learning—tools I believe are essential for streamlining processes and enhancing product design.As a Research Assistant, I explored the intersection of advanced manufacturing and machine learning. My thesis centers on improving part density prediction and optimization in metal additive manufacturing, contributing to solutions with the potential to transform industries.At DMG MORI, I developed a systematic workflow for a new 3D printing machine’s powder delivery system using Creo and Ansys. This project delivered $50K in savings and underscored the impact of innovative thinking in manufacturing.During my time at Dematic, I led a Kaizen workshop that integrated tools like Navisworks, Jira, and SAP ERP. This effort streamlined warehouse modeling and reduced product transportation time by 30%, highlighting how collaboration drives efficiency.I also had the privilege of leading a team of 50 design engineers at Veloce Racing India. We designed high-performance racing cars, secured sponsorships, and met tight deadlines, which sharpened my leadership and teamwork skills.I’m always eager to connect with like-minded professionals passionate about innovation in engineering. Feel free to reach out—I’d love to exchange ideas or collaborate on exciting opportunities!My email Address: prathameshkorgaonkar2024@u.northwestern.eduSkills:- CAD Modeling- Machine Learning- Advanced Manufacturing Techniques- Computational Fluid Dynamics (CFD)- Data Analysis with LabVIEW & Python- Project Management Tools (Jira, SAP ERP)
-
Engineer-Design Concept TeamPomwearEvanston, Il, Us -
Mechanical Engineer (Open To Opportunities)Freelance Dec 2024 - Present
-
Research AssistantNorthwestern University Oct 2023 - Dec 2024Evanston, Illinois, United StatesFocus Areas: Advanced Manufacturing and Machine LearningThesis Topic: "𝗙𝗲𝗮𝘁𝘂𝗿𝗲-𝗦𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗣𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗣𝗕𝗙 𝗣𝗿𝗶𝗻𝘁𝗲𝗱 𝗣𝗮𝗿𝘁𝘀 𝗨𝘀𝗶𝗻𝗴 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹."- Conducted cutting-edge research at the intersection of Advanced Manufacturing and Machine Learning to enhance the prediction and optimization of part density in metal additive manufacturing.- Performed extensive experiments using the DMG MORI Lasertec 12 SLM machine, optimizing critical process parameters such as laser power, scan speed, and hatch spacing to achieve superior part properties.- Developed and evaluated predictive machine learning models, leveraging data-driven insights to identify optimal manufacturing settings.- Applied Design of Experiments (DOE) methodology to systematically explore and validate parameter combinations for improved part density and quality.Keywords:Metal Additive Manufacturing, Selective Laser Melting (SLM), DMG MORI Lasertec 12, Machine Learning, Design of Experiments (DOE), Predictive Modeling, Process Optimization, Advanced Manufacturing, Laser Parameters, Material Science -
Manufacturing Engineering InternDmg Mori Jun 2023 - Sep 2023Davis, California, United StatesKey accomplishments include:- Developed a systematic workflow for the design of a powder delivery system for a new generation 3D printing machine using Creo Parametric and Ansys, resulting in $50k savings per machine.- Achieved an 18% reduction in production line downtime through the implementation of efficient design methodologies and rapid prototyping techniques during the project lifecycle.- Conducted comprehensive Design of Experiments to optimize system performance, leading to improved reliability and efficiency in additive manufacturing processes.- Collaborated with cross-functional teams to integrate advanced manufacturing technologies, enhancing overall project outcomes and fostering innovation within the engineering department.Skills: Powder Delivery System Design, Additive Manufacturing, CAD Software (Creo Parametric, Ansys), Design of Experiments, Rapid Prototyping -
Mechanical Design EngineerDematic Jan 2022 - Jul 2022Pune, Maharashtra, IndiaKey accomplishments include:- Spearheaded a Kaizen workshop that integrated Navisworks and CET Maestro with project management tools like Jira and SAP ERP, streamlining warehouse modeling processes and achieving a 30% reduction in product transportation time for Amazon and Walmart warehouse projects.- Optimized material flow layouts by evaluating simulation tools and implementing lean manufacturing principles and supply chain optimization strategies, resulting in a 15% reduction in handling time and a 20% improvement in operational efficiency.- Managed two concurrent Amazon warehouse automation projects, collaborating with North American engineering teams to design and optimize conveyor system layouts, ensuring seamless implementation and improved throughput.Employed Root Cause Analysis to address inefficiencies in conveyor guide rail systems, reducing order processing redundancies and enhancing overall system reliability.Skills: Warehouse Automation, Lean Manufacturing, Process Optimization, Project Management (Jira, SAP ERP, Navisworks, CET Maestro), Root Cause Analysis, Supply Chain Optimization, Conveyor System Desig -
Mechanical Research InternCentral Water And Power Research Station Jan 2021 - Jul 2021Pune, Maharashtra, IndiaKey accomplishments include:- Applied Computational Fluid Dynamics (CFD) to analyze velocity distribution in hydraulic systems, eliminating installation errors for flow meters, and conducted advanced data analysis using LabVIEW and Python.- Drafted and modeled valve designs in SolidWorks adhering to ISO 4411:2008 standards, resulting in a 60% performance improvement for hydraulic systems.- Co-authored and published a 48-page report and two conference research papers in well-recognized Elsevier Scopus Index journals, showcasing innovative research findings in hydraulic system optimization.Skills: Computational Fluid Dynamics (CFD), Valve Design, Hydraulic Systems, SolidWorks, ISO Standards Compliance, Data Analysis (Python, LabVIEW), Research Writing -
Design Team LeadVeloce Racing India Dec 2018 - Apr 2020Pune, Maharashtra, IndiaKey accomplishments include:- Directed a diverse team of 50 design engineers to develop high-performance racing cars in a university workshop, conducting design reviews, managing strict deadlines, and securing sponsorships with minimal guidance.- Implemented Finite Element Analysis (FEA) with HyperMesh and Rapid Prototyping (polymer 3D printing) to simulate and test vehicle components, achieving an optimized weight-to-strength ratio and improving brake performance metrics by 18%.- Played a pivotal role in earning qualification for Formula Student Germany, the largest Formula Student event, and secured $30K in university funding to support team activities.Skills: Leadership, Vehicle Design, Finite Element Analysis (FEA), Rapid Prototyping, Sponsorship Management, Design Reviews, High-Performance Automotive Engineering
Prathamesh Korgaonkar Education Details
-
3.8/4 -
A+ With Destinction
Frequently Asked Questions about Prathamesh Korgaonkar
What company does Prathamesh Korgaonkar work for?
Prathamesh Korgaonkar works for Pomwear
What is Prathamesh Korgaonkar's role at the current company?
Prathamesh Korgaonkar's current role is Engineer-Design Concept Team.
What schools did Prathamesh Korgaonkar attend?
Prathamesh Korgaonkar attended Northwestern University, Vishwakarma Institute Of Technology, Cusrow Wadia Institute Of Technology.
Not the Prathamesh Korgaonkar you were looking for?
-
-
-
1gmail.com
-
1indusind.com
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial