Darsh Devkar
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Darsh Devkar Email & Phone Number

Research Assistant at Computational Combustion Lab at Georgia Tech - Aerospace Engineering
Location: Washington Dc-Baltimore Area, United States 13 work roles 4 schools
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Role
Research Assistant at Computational Combustion Lab
Location
Washington Dc-Baltimore Area, United States

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Darsh Devkar is listed as Research Assistant at Computational Combustion Lab at Georgia Tech - Aerospace Engineering, based in Washington Dc-Baltimore Area, United States. AeroLeads shows a matched LinkedIn profile for Darsh Devkar.

Darsh Devkar previously worked as Hybrid Rocket Oxidizer Team at Project Atlas and Combustion Lab Research Assistant at University Of Virginia. Darsh Devkar holds Bachelor'S Degree, Aerospace, Aeronautical And Astronautical Engineering, 3.88 from University Of Virginia.

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Georgia Tech - Aerospace Engineering

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About Darsh Devkar

Balancing academia and industry, my journey in Aerospace Engineering is defined by innovative research and practical applications. At Carrier, we're pioneering methods to enhance thermal efficiency, like testing microchannel heat exchangers and designing Phase Change Material systems for energy storage. These projects leverage my computational modeling skills honed through MATLAB and Engineering Equation Solver, contributing to significant advancements in thermal energy storage efficiency.Concurrently, as a Propulsion Co-Lead with UVA Hoos Flying, our team is looking to develop a dynamic thrust testing stand, critical for mapping motor efficiency. This hands-on experience complements my research at George Mason University, where we enhance heat transfer using novel silver compounds. Our collaborative efforts aim for groundbreaking improvements in cooling systems, a testament to our collective expertise and my commitment to pushing the boundaries of aerospace technology.

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Georgia Tech - Aerospace Engineering
Georgia Tech - Aerospace Engineering
Research Assistant at Computational Combustion Lab
Washington, DC, US
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13 roles

Darsh Devkar work experience

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Hybrid Rocket Oxidizer Team

Current

Part of a capstone research process aimed at constructing and testing UVA's first h-class hybrid rocket motor.Designing oxidizer tank system using NOS. Developing P&ID diagrams and system configuration.

Aug 2024 - Present

Combustion Lab Research Assistant

Current

Charlottesville, Virginia, United States

Studying detonations and the propagation of shock waves.Designing the control system to allow for experiment automation.

Sep 2024 - Present

Flow Tube Systems Engineer

Current

Charlottesville, Virginia, United States

Working with Professor Daniel Quinn to study flow properties through UVA's flow tube being constructed. Verifying static and dynamic pressure values and ensuring safety protocols.

Sep 2024 - Present

Propulsion Co-Lead

Current

Developing a dynamic thrust testing stand to map motor efficiency.

Apr 2024 - Present

Operations Lead

Charlottesville, Virginia, United States

Aug 2023 - Mar 2024

Reverse Engineering And Design Intern

Proficiently interpreting diverse engineering drawings and physical components, I adeptly crafted solid models vital for manufacturing and supplying spare parts to military aircraft like the KC-135. Leveraging reverse engineering methodologies within the internal MARS database, SolidWorks, and specialized drawing software, I revitalized legacy aircraft assemblies. Collaborating closely with senior engineers, I honed designs for optimal manufacturability and cost efficiency. My active engagement in design reviews facilitated seamless communication, ensuring project timelines and customer contentment.

Oct 2022 - Sep 2024

Heat Transfer And Thermodynamics Intern

East Syracuse, New York, United States

I led microchannel heat exchanger testing aimed at minimizing frost accumulation, significantly improving thermal conductivity and enhancing heat transfer in sub-zero environments, ultimately optimizing system performance. Using MATLAB and Engineering Equation Solver (EES), I designed and implemented a Phase Change Material (PCM) based energy storage system, which increased thermal energy storage efficiency. In collaboration with senior engineers, I conducted high-fidelity experiments for next-generation cooling systems, utilizing precision instruments for data acquisition and detailed performance analysis. I also developed Process & Instrumentation Diagrams (P&ID) for Thermal Energy Storage (TES) systems, enhancing flow testing protocols and conducting a comprehensive competitor analysis to advance system capabilities.Leveraging Python, OpenCV, and NumPy, I developed an innovative image processing tool to quantitatively analyze frost generation on heat exchangers, which improved the accuracy of frosting coefficient measurements. Additionally, I applied Computational Fluid Dynamics (CFD) using Ansys Fluent to optimize airflow and solution mixing in wind tunnel tests, contributing to improved aerodynamic profiles. For heat exchanger design, I used Engineering Equation Solver (EES) to optimize brass plate heat exchanger channels, resulting in superior heat dissipation and operational performance. Finally, I employed machine learning techniques in MATLAB, using Gaussian models to predict and optimize performance for round plate tube fin heat exchangers, which enhanced predictive maintenance and system reliability.

May 2024 - Aug 2024

Researcher

Self Propelled Micro-Tubes Lab

Engaged in cutting-edge research focused on enhancing heat transfer using self-propelled silver compounds and manganese dioxide particles. Initial experiments demonstrated promising qualitative outcomes, with heat-sensitive camera analysis revealing improved convection and heat transfer. Orchestrated quantitative trials to validate heightened heat transfer coefficient compared to standard water, alongside innovating a specialized apparatus to measure temperature gradients under constant heat flux. Collaborated seamlessly within a multidisciplinary research team, proactively identifying and addressing implementation challenges, showcasing adept teamwork and effective problem-solving capabilities.

Jun 2023 - Jul 2024

Machine Learning And Process Automation Intern

Washington Dc-Baltimore Area

During my summer internship at AARP, I collaborated with the internal CSN department to enhance operational efficiency by automating data reporting processes. Through close consultation and Agile methodologies, I identified and optimized various data pathways, adapting seamlessly to evolving requirements. I meticulously analyzed and refined these pathways to create streamlined end-to-end processes, resulting in error-free workflows. Utilizing tools like Appian and UiPath, I designed user-friendly interfaces for data automation, significantly accelerating operational speed and reducing manual tasks.

May 2023 - Aug 2023

Research Assistant

Materials Informatics Lab

Crafting an AI model to forecast the optimal composition of a disilicate coating for minimal thermal expansion ratio. Methodically collected and scrutinized experimental data across a range of compositions to comprehend the thermal expansion ratio dynamics of disilicate coatings. Additionally, conducted comprehensive literature reviews to gather sample data and stay abreast of advancements in materials informatics and associated domains.

Jan 2023 - Apr 2023

Program Developer

Contributed to the Booz Allen Hamilton, IRS Innovation Lab by creating a UIPath RPA prototype. This solution involved screen scraping to collect data from legacy tax systems for Case Management purposes, bridging the gap where modern integration APIs were lacking. Designed and developed a UiPath solution empowering business users to access taxpayer data from legacy systems while actively engaging with cases.

Jul 2020 - Oct 2020

Summer Intern

Collaborated with application architects to conceptualize mobile features, seamlessly converting designs and wireframes into top-notch code using modern UI frameworks like React. Utilized UI/UX tools like FIGMA for meticulous screen design and review. Orchestrated design system workflows, conducted comprehensive customer data analysis, and actively engaged in projects to offer insightful application enhancement recommendations. Played a pivotal role in deploying applications across diverse platforms including web, Android, and iOS.

Jun 2020 - Sep 2020
4 education records

Darsh Devkar education

Bachelor'S Degree, Aerospace, Aeronautical And Astronautical Engineering, 3.88

Activities and Societies: Sigma Gamma Tau (Aerospace Honors Society), Theta Tau, High Powered Rocketry Club; NASA Lunabotics, Solar Car.

Master Of Engineering - Meng, Aerospace, Aeronautical And Astronautical/Space Engineering

Pursuing accelerated masters program in Aerospace Engineering.

Engineering

Stone Bridge High School

Activities and Societies: VEX Robotics Club Vice President, FRC, Lion Hearts, Travel Soccer, AET

FAQ

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What company does Darsh Devkar work for?

Darsh Devkar works for Georgia Tech - Aerospace Engineering.

What is Darsh Devkar's role at Georgia Tech - Aerospace Engineering?

Darsh Devkar is listed as Research Assistant at Computational Combustion Lab at Georgia Tech - Aerospace Engineering.

Where is Darsh Devkar based?

Darsh Devkar is based in Washington Dc-Baltimore Area, United States while working with Georgia Tech - Aerospace Engineering.

What companies has Darsh Devkar worked for?

Darsh Devkar has worked for Georgia Tech - Aerospace Engineering, Project Atlas, University Of Virginia, Hoos Flying At Uva, and Mac Aerospace Corp..

How can I contact Darsh Devkar?

You can use AeroLeads to view verified contact signals for Darsh Devkar at Georgia Tech - Aerospace Engineering, including work email, phone, and LinkedIn data when available.

What schools did Darsh Devkar attend?

Darsh Devkar holds Bachelor'S Degree, Aerospace, Aeronautical And Astronautical Engineering, 3.88 from University Of Virginia.

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