Technical skill is the mastery of complexity, while creativity is the mastery of simplicity.
— Christopher Zeeman
Architected Structures
Porous Structures
Lattice Structures (including TPMS types such as Primitive, Gyroid, and Diamond)
Compression Testing
Tensile Testing
Bending Testing
Fatigue Testing
(Conducted using Instron, MTS, and Controls universal testing machines)
3D Printing of polymer, ceramic, and metal samples
Thermal Testing
Mechanical Testing
Heat Treatment
Data Analysis
Research Paper Publications
Laser Powder Bed Fusion
3D Printing
Metal Printing
Polymer Printing
Shape Memory Alloys: Cu-Al-Mn, Cu-Al-Ni, NiTi
Fabrication Methods: Vacuum Induction Melting, Sand Casting, Additive Manufacturing
Metallography
Optical Microscopy
Optical Emission Spectroscopy (OES)
Scanning Electron Microscopy (SEM)
X-ray Diffraction (XRD)
Differential Scanning Calorimetry (DSC)
Tensile Testing
Compression Testing
Fatigue Testing
Languages: Python, SQL, Shell Scripting
Data Analysis: Pandas, NumPy, SciPy, BeautifulSoup
Visualization: Matplotlib, Seaborn, Plotly, Dash, Folium
Machine Learning & Tools: Scikit-learn, Jupyter, Anaconda
Software Development: Git, GitHub, VS Code, Spyder, LaTeX
OS: Linux
Supervised Learning
Neural Networks & AI
Advanced Algorithms
Unsupervised & Reinforcement Learning
Formlabs Form3 Printer
Ultimaker S1 Printer
Stratasys F370 Printer
Stratasys J850 Printer
Raise3D Pro3 Plus HS Printer
Raise3D Forge1 Printer
TinkerCAD
FreeCAD
Materialise Magics
Cura Slicer
IdeaMaker Slicer
Grabcad Print Slicer
Instron 5969 Static UTM 50 kN loadcell
Instron 8872 fatigue loading machine 25 kN loadcell
MTS 100 kN loadcell
Controls Simplex 350
Controls Automax Compression Machine
Two roll Rolling Machine
Vacuum Induction Melting Machine
JEOL 7610F SEM
FEI Nova NanoSEM
FEI Quanta 3D FIB SEM
Bruker D2 Phasor XRD
Rigaku MiniFlex II XRD
Xpert HighScore Plus Software
Leica Optical Microscope
Setaram Instruments DSC
Mettler Toledo DSC 1
Bruker Q4 Tasman
Struers Grinder and Polisher
Buehler Grinder and Polisher
Chemical Etching
Heat Treatment (Carbolite Furnaces)
Python
Linux
Shell Scripting
FreeCAD
ANSYS
MATLAB
Originlab
Python
OpenCV
Scikit-image
ImageJ/Fiji
MATLAB
JupyterLab and Notebook
Anaconda
Python
Pandas
Numpy
Matplotlib
Plotly
Seaborn
Scipy
Scikit-learn
TensorFlow
Folium
SQLite3
LaTeX
ISO/ASTM 52900: Expert knowledge in general principles and terminology for additive manufacturing processes.
ISO/ASTM 52904: Proficient in metal Powder Bed Fusion (LPBF) process characteristics and quality control for EOS M400 operations.
ISO/ASTM 52903-1: Standardized material extrusion-based manufacturing for high-performance polymers like PPA/CF.
Metals: Tensile and compression testing of metallic dogbones and cylinders according to ASTM E8/E8M and ASTM E9.
Polymers & Composites: Characterization of rigid plastics and 3D-printed TPMS lattices following ASTM D638 (tensile) and ASTM D695 (compression).
Fatigue: Strain-controlled and cyclic fatigue testing of NiTi components adhering to ASTM E606 and ISO 12106.
Flexural: Evaluated structural integrity of cast aluminum and 3D-printed beams using 4-point bending protocols per ASTM E290.
Phase Transformation (SMAs): Analysis of NiTi and Cu-based shape memory alloys via Differential Scanning Calorimetry (DSC) in compliance with ASTM F2004 and ASTM F2082.
Microstructural Analysis: Advanced microscopy and diffraction techniques (SEM/XRD) focused on phase identification and grain boundary analysis.
MATHWORKS
Image Processing: Segmentation, filtering, edge detection, noise reduction, contrast enhancement
Object Detection & Video Processing
Spatial and Quantitative Image Analysis
Batch Image Processing and Workflow Automation
MATLAB Programming for custom algorithm development
STANFORD UNIVERSITY
Supervised Learning: Linear/Logistic Regression, Neural Networks, Decision Trees
Unsupervised Learning: Clustering, Dimensionality Reduction, Anomaly Detection
Recommender Systems & Reinforcement Learning
Full ML Pipeline: Evaluation, Tuning, Data-Centric Improvement, Deployment
Python ML Stack: NumPy, scikit-learn, TensorFlow
MATHWORKS
Data Preprocessing, Cleaning & Visualization
Statistical Analysis, Modeling & Predictive Modeling
Machine Learning Fundamentals & Basic Model Building
Exploratory Data Analysis (EDA) & Insight Extraction
Applied Data Science & Real-World Analysis
MATLAB Programming
MATHWORKS
Advanced MATLAB Data Analysis & Visualization
Interactive App Design, Development & Deployment
Workflow Automation & Optimization
AI Integration: MATLAB Copilot & Generative AI for Data Science
Productivity-Focused Solution Engineering
ARIZONA STATE UNIVERSITY
Technical Foundation: Mastery of additive manufacturing principles and Design for Additive Manufacturing (DfAM) methodologies.
Process Execution: Skilled in the complete workflow from build preparation and machine setup to advanced post-processing.
Engineering Optimization: Proficient in critical tasks like part orientation, support structure design, and process parameter optimization to control mechanical properties and enhance surface quality.
IBM
Data Science Methodology & Tools
Python Programming & SQL
Data Visualization & Analysis
Machine Learning Model Development
Cloud Labs, Hands-On Projects, & Capstone Application
IBM
Python Programming: Scripting and development for data-centric applications.
Data Analysis & Visualization: Conducting analysis and creating visualizations with Python.
Machine Learning: Applying Python to solve machine learning problems.
Project Execution: Implementing skills in a comprehensive capstone project.
IBM
Tools: Jupyter, R Studio, SQL
Languages & Analysis: Python, Statistical Methods
Experience: Full-cycle project execution using applied data science methodologies
IBM
Data Science Principles & Methodologies
Execution of Data Science Tasks
Jupyter Notebooks
Relational Databases & SQL Querying
Hands-on Labs & Applied Projects
UNIVERSITY OF MICHIGAN
Development: Python programming, data structures, and API integration.
Data Engineering: Databases, data retrieval, processing, and visualization.
Application: Integrated these skills in a practical capstone project.
DUKE UNIVERSITY
Critical Analysis: Systematic argument analysis, evaluation, and logical fallacy recognition.
Structured Reasoning: Application of both deductive and inductive reasoning frameworks.
Persuasive Synthesis: Formulating evidence-based, compelling, and logically sound arguments.