𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗶𝗻𝗴 𝗙𝗘𝗔 𝗮𝗻𝗱 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝘁𝗼 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝘄𝗶𝗻𝗱 𝘁𝘂𝗿𝗯𝗶𝗻𝗲 𝗱𝗲𝘀𝗶𝗴𝗻𝘀I specialize in applying finite element analysis (FEA) to complex wind turbine structures, ensuring:• 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝗶𝗻𝘁𝗲𝗴𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲: I assess load paths, identify potential failure points, and optimize designs for maximum efficiency.• 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝘃𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: I lead the development of novel methodologies to address new component challenges, continually enhancing design processes.• 𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻: I work closely with cross-functional teams to integrate FEA results into design iterations, adhering to project goals and industry standards.• 𝗟𝗼𝗻𝗴-𝘁𝗲𝗿𝗺 𝗱𝘂𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆: I perform fatigue and extreme load analyses to guarantee the safety and longevity of wind turbine components under diverse operating conditions.• 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝗰𝘂𝘀𝘁𝗼𝗺 𝘁𝗼𝗼𝗹𝘀 and automation scripts (Python, MATLAB, TCL, Ansys APDL) to streamline workflows and save an estimated 250-300 working days annually. • 𝗔𝗻𝗮𝗹𝘆𝘇𝗶𝗻𝗴 𝘄𝗶𝗻𝗱 𝘁𝘂𝗿𝗯𝗶𝗻𝗲 𝗳𝗶𝗲𝗹𝗱 𝗱𝗮𝘁𝗮 using Python data science libraries (e.g., pandas, NumPy, matplotlib, dash) to perform exploratory data analysis (EDA), develop dashboard/web app and gain insights into real-world turbine behavior, informing design decisions and improvements.𝗠𝘆 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀:• FEA software: ANSYS APDL, ANSYS• Programming languages: Python, MATLAB, TCL, Plotly dash• Version control: Git, GitLabI am passionate about leveraging automation to streamline workflows and enhance simulation accuracy, ultimately contributing to the success of wind turbine projects.

During my internship at Altair Engineering, I contributed to the quality assurance (QA) team for HyperMesh, a leading software for pre-processing in finite element analysis (FEA). My responsibilities included:• 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝘂𝘀𝗲𝗿 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀 for proposed HyperMesh features, ensuring they aligned with user needs and expectations.• 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝘁𝗲𝘀𝘁 𝗰𝗮𝘀𝗲𝘀 using TCL scripts to streamline the testing process for new features. This included automating test case execution, data collection, and analysis, significantly improving efficiency and reducing manual effort.By combining a user-centric approach with automation expertise, I played a valuable role in ensuring the quality and user-friendliness of HyperMesh.