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Mechanical Engineer with 4+ years of experience in structural design and analysis, with specialization in airframe stress engineering, composite structures, and fatigue analysis. Proficient in finite element methods (FEM), simulation-driven design, and UAV system development. Experienced in integrating AI/ML for predictive modeling and design automation. Strong research foundation with capabilities in structural optimization, health monitoring, and experimental validation.
| Engineering Concepts | Tools & Programming | Soft Skills |
|---|---|---|
| Airframe Structures & Load Path Design | ANSYS (GUI + APDL) | First-Principles Thinking |
| Composite Materials & Failure Theories | LS-DYNA (Crash, Impact Simulations) | Problem Solving & Debugging |
| Fatigue & Damage Tolerance | SolidWorks, Python, Pandas, TensorFlow | Research & Technical Documentation |
| Finite Element Analysis (FEM) | GMSH, pyNastran, ParaView | Design Communication & Teamwork |
| Structural Optimization,ML & CAD Integration | LangChain, LangGraph, Linux Systems | Cross-functional Collaboration |
Okulo Aerospace Pvt. Ltd., Bengaluru
Nov 2022 β May 2025
- Designed GF/CF composite airframe optimized for strength-to-weight, manufacturability, and procurement.
- Performed SFD, BMD, and shell deformation analysis under operational load conditions.
- Defined load paths and provided CAD guidance considering structural and system integration constraints.
- Generated refined FEM mesh; executed linear static, modal, and crash-landing analysis.
- Validated results against UAV certification standards (Drone Certification Gazette).
- Designed airframe and structural layout tailored for mission endurance and payload integration.
- Engineered vibration-isolated camera mounting to ensure image clarity and mechanical reliability.
- Conducted FEM-based structural assessments (static, modal, crash) for validation.
- Developed spreadsheet-based PLM tool to track design changes and streamline communication.
National Aerospace Laboratories, Bengaluru
Aug 2021 β Oct 2022
- Performed rotor dynamic evaluation of shaft system for critical speeds and modal stability.
- Developed rotor-bearing model with gyroscopic and unbalance effects.
- Created Campbell and critical speed diagrams; assessed fatigue and vibration risks.
- Recommended shaft geometry and support modifications for improved rotor performance.
- Designed test rig with Pelton air turbine, shaft, bearing housing, and robust casing.
- Performed structural and thermal FEA for safety under long-term cyclic loads.
- Conducted fatigue life estimation and optimized for manufacturing and assembly.
- Ensured containment safety in case of rotor failure.
- Simulated contact forces in faulty bearings using ODE-based modeling.
- Applied Hertzian contact theory, spring-mass-damper system dynamics.
- Validated model against experimental data with <5% error margin.
- Tools: Python (OOP), Euler Method, Scientific Plotting.
- Created end-to-end automated design loop: CAD β Mesh β Analysis β Post-process.
- Integrated PythonOCC, GMSH, pyNastran, and ParaView into unified pipeline.
- Enabled rapid iteration and optimization of structural models.
- Modeled fiber matrix unit cell and applied micromechanics and homogenization theory.
- Used Halpin-Tsai and Classical Laminate Theory for stiffness estimation.
- Validated with literature data for woven composites.
- Tools: Python, NumPy, GitHub Libraries.
- Simulated soil-UAV impact using LS-DYNA with deformable terrain model (MAT_005).
- Captured contact behavior and strain energy dissipation using automatic node-to-surface interaction.
- Provided design insights for crashworthiness enhancements.
| Degree | Institution | Duration |
|---|---|---|
| B.Tech in Mechanical Engineering | M.S. Ramaiah University of Applied Sciences, Bengaluru | 2015 β 2019 |
Final Year Project: Designed and analyzed chassis for programmable vacuum cleaner, including motor sizing and structural integrity evaluation.
| Certification | Provider | Year |
|---|---|---|
| Machine Learning Specialization | Coursera | 2022 |
| Advanced Learning Algorithms | Coursera | 2022 |
| Finite Element Methods | NPTEL | 2022 |
- Structural Modeling and Applied Physics
- Biomimetic Design for Stress-Guided Additive Manufacturing, Mechano-Chemical Coupled Systems for Stress-Sensing