Skills | Certifications | Badges
Skills | Certifications | Badges
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)
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
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
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
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
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.
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.
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.