About this Candidate
DAVRON CV: Candidate 1881959
STRUCTURAL ENGINEER | Ph.D. | FEA, ML-BASED DAMAGE MODELING & RCC/STEEL DESIGN
Core Expertise
- Nonlinear finite element analysis of beam–column joints and structural components using ABAQUS for validation studies
- Development of machine learning damage-evolution models for seismic and nuclear structural performance assessment
- Design and detailing of reinforced concrete and steel structures per international and IS design codes
- Structural investigation and site assessments including non-destructive testing, core sampling, and soil investigations
- Design automation and optimization delivering ~20% material savings in cold-formed racking systems
Project Background
- Performed load analysis and member sizing for a six-story steel building using ASCE 7 load cases
- Conducted ABAQUS nonlinear FEA to capture load–displacement response, validated against experimental results
- Developed MATLAB frame analysis tool for bending, shear, and deflection computations for 2D frames
- Designed RCC buildings and prepared construction drawings and reports for government and residential projects
- Modeled port berthing and pile systems under combined earth, hydrostatic, and fender loads using STAAD.Pro
- Engineered steel shed solutions addressing cantilever deflection via midspan strut and weld design improvements
Key Skills
- SAP2000 | ETABS | STAAD.Pro | ABAQUS | MATLAB | AutoCAD
- Nonlinear FEA | Linear elastic analysis | Model validation
- Reinforced concrete design | Steel design | Concrete mix design | Soil investigation
- Design codes: ACI | AISC | ASCE 7 | IS 456 | IS 13920
- Machine learning for damage modeling | Scalable model integration
- Excel automation | Design reports | Construction coordination
Education
- Ph.D., Civil Engineering — Arizona State University
- M.Tech., Structural Engineering — Indian Institute of Technology Madras
- B.E., Civil Engineering — College of Engineering Guindy, Anna University
Awards & Recognition
- Subby Rajan Fellowship — Arizona State University
- Poster Winner — ND EPSCoR Conference (Machine Learning & Predictive Modeling)
- All India Rank 2 in GATE, Civil Engineering; FE Civil Examination — Passed
Why Interview this Candidate?
A research-trained structural engineer who blends validated nonlinear FEA, machine learning damage models, and practical design experience. Proven track record optimizing structural systems (≈20% material reduction) and validating analyses with experiments. Well-versed in international and IS codes and capable of contributing to complex seismic, port, industrial, and infrastructure projects.
LEARN MORE
If this sounds like a candidate that you'd like to speak with, contact us for more information. It's always free to review resumes and set up interviews! We only charge a fee if you hire one of our candidates. Not who you are currently searching for? Send us a job description and we will begin a dedicated search right away, at no obligation!