Varun K.

As a Mechanical Engineer, I bring a wealth of experience in leveraging state-of-the-art manufacturing equipment, precision metrology tools, and CAD/CAM software to streamline production processes. My expertise is not limited to the realm of mechanical engineering; I am a proficient user of MS Word and MS Excel, harnessing these tools to enhance project efficiency and deliver meticulous documentation.

I have honed my skills in Design for Manufacture (DFM) principles and possess a strong foundation in statistical analysis, which proves invaluable when optimizing workflows. My grasp of modern manufacturing methods, including rapid prototyping, complements my proficiency in CAD software. This multifaceted skill set enables me to manage multiple client projects simultaneously, showcasing my exceptional multitasking abilities.

With an unwavering commitment to quality and adherence to regulatory standards, I boast experience in ISO13485 and EU MDR compliance. My qualifications include an MSc in Advanced Mechanical Engineering, affirming my dedication to enhancing manufacturing efficiency and product quality through innovative solutions.

Beyond mechanical engineering, my expertise extends into Building Management Systems (BMS) and Artificial Intelligence (AI). I excel in data tagging, energy analysis, and 3D modeling, offering comprehensive solutions that cater to diverse client needs.

With a passion for delivering excellence, I am ready to bring my skills in mechanical engineering, MS Word, and MS Excel to your projects, ensuring they meet the highest standards of precision and efficiency.

Projects:
• Multi-element Mars Constellation Project - Deploying satellite constellations to facilitate communications while placing two robots on Mars at a certain spot. Required information: coverage analysis, specification of orbital parameters, constellation deployment analysis, single impulse momentum manoeuvres, orbit analysis, launch and return window analysis, total deltaV budget calculation, orbital perturbations, eclipse analysis, communication window analysis and launcher selection. MATLAB has been utilized for calculations and analyses.
• Analysing the levels of Nitrogen Dioxide (NO2) in the year before and after COVID restrictions in Scotland - The task assigned is to analyse the levels of Nitrogen Dioxide (NO2) in the year before and after COVID restrictions (2019, 2020 and 2021) in each district of Scotland, to understand how these levels have changed in relation to lockdown restrictions and population density. Google Colaboratory is used with Python as API.
• Distribution-free techniques in NASA Uncertainty Quantification (UQ) Challenge 2014 - Stochastic model updating of NASA UQ challenge 2014 using Bhattacharyya distance and Euclidian distance as a UQ metric in Bayesian updating (modal updating) where TMCMC technique is used. Evaluating the outcomes using the distribution-free method, the beta-mixture model. Demonstrating that the distribution-free approach is superior to the traditional distribution approach, which makes numerous assumptions that cause uncertainties. The entire process of Modal updating is done in MATLAB.
• Fabricating natural fibre hybrid composite – To extract the fibre and fabrication of hybrid composites containing varying levels of Sterculia foetida, Kigelia africana fibres and to analyse the mechanical properties of the hybrid composite by tensile test, flexural test, impact strength, dynamic mechanical analysis.
• Experimental analysis on impact behaviour of E-glass reinforced fibre with non-Newtonian Fluid - Fabricating the E-glass reinforced with non-Newtonian Fluid. A 2D CAD model was created in CATIA and analysed in ANSYS and compared the results with numerical results. For numerical results, the fabricated sample was kept in a setup and sensors were used for finding accurate deviation.