Akanksh Shetty Email & Phone Number

Cincinnati, Ohio, United States

Greater Pittsburgh Area

• Extracting mechanical properties for micro pillars from video data
• Utilized deep learning techniques to extract features from micro pillar compression videos
• Extracted physics-based features like velocity and angle using computer vision techniques (sparse optical flow)
• Predicted force displacement curve from the features using LSTM based networks to achieve Intersection over Union (IOU) of 0.91
• Won Best Research Award at Carnegie Mellon Symposium 2021Reverse engineering Computer Aided Design (CAD) models using deep learning
• Successfully reverse engineered CAD models using Transformers and Long Short Term Memory (LSTM) Networks

Pittsburgh, Pennsylvania, United States

• Mentoring students with semester-long projects on Computer Vision and Natural Language Processing
• Designing assignments and midterm exams
• Responding to questions asked by students on discussion forums such as Piazza
• Holding weekly office hours

United States

• Created a generalized deep reinforcement learning template to apply it to design optimization and material modeling problems
• Implemented sequence-to-sequence models to predict material properties of different non-linear materials
• Trained Radial Basis Function (RBF) networks for multi-constraint design optimization
• Reviewed literature, summarized progress and best approaches on application of deep learning to mechanical design optimization

Cincinnati, Ohio

• Collaborated with all team leads to ensure effective functioning of the organization
• Guided all sub teams to make better engineering decisions
• Aided in designing and fabricating all aspects of the race car
• Acquired 12th position overall in FSAE Michigan 2019 Competition out of 120 teams globally

Toledo, Ohio Area

• Provided advanced non-linear finite element simulation support to all tire design groups in North America
• Worked on developing new and more advanced simulation tools for predictive technologies group
• Aided in development of Cooper’s in-house Computer Aided Development Software
• Developed training modules for Tread Stiffness simulations
• Established well-documented methods for adding detailed tread geometry to simulation
• Developed Python Scripts to automate better simulation data representation

Cincinnati Area, KY

• Led and contributed to a team selected by SpaceX to design and manufacture the future mode of transport
• Aided in designing, manufacturing, and testing all components of the pod
• Finished among top 22 teams out of 1200 teams (2016) and top 47 out of 1000 teams (2017)

Cincinnati Area, KY

• Programmed an algorithm in MATLAB to optimize build orientation to manufacture a part via any additive manufacturing process
• Implemented an algorithm that considers several criteria, such as accessibility and minimization of support structure volume

Cincinnati Area, KY

• Completed a number of Abaqus courses involving Abaqus/Standard, Abaqus/Explicit, Heat Transfer, Coupled Eulerian-Lagrangian Approach and Contact Convergence
• Successfully completed real life simulation problems including Bottle top load, Drop analysis and bottle squeeze analysis
• Worked on modeling simulations involving fluid-structure interaction
• Optimization of design of flexible packaging products (Cardboard)
• Worked on Heat transfer analysis and drop problems for hand held consumer cameras
• CAD modeling of various products

Mason, Ohio

• Created and verified mechanical layouts, safety layouts, air layouts and detail drawings on various projects
• Planned equipment layout, material flow, and measures to maintain efficient and safe utilization of resources and equipment on Amazon projects
• Collaborated with other engineers to clarify and resolve problems found during execution; prepared design modifications, as appropriate
• Worked with other engineering disciplines in the development and application of material handling equipment and solutions as required in support of project needs.
• Integrated findings and concepts into design recommendations on projects assigned

Master'S Degree

Bachelor’S Degree

Minor