Technical Competencies
Skills & Capabilities
Structured inventory across machine learning frameworks, core languages, full-stack web platforms, and engineering workflows.
Core Syntax & Foundations
Programming Languages
Core languages used across algorithmic engineering, system scripting, and full-stack software development.
Python
ML research, tensor operations, automation, data engineering
JavaScript / TypeScript
Type-safe web applications, asynchronous runtimes
C++
Data structures, algorithms, memory management, computational complexity
Java
Object-oriented design patterns, software architecture
Research & Modeling
AI / Machine Learning
Frameworks and mathematical libraries powering deep neural architectures, vision pipelines, and statistical modeling.
PyTorch
Autograd, custom layers, convolutional blocks, attention mechanisms
scikit-learn
Supervised pipelines, cross-validation, dimensionality reduction
Pandas & NumPy
Vectorized mathematics, multi-million-row tabular transformations
OpenCV
Computer vision, image pre-processing, morphology, spatial transforms
Full-Stack Software
Web & Product Engineering
Production software stack used to deliver intuitive client-facing tools, resilient APIs, and data dashboards.
React & Next.js
App Router, server components, reactive state, SEO optimization
Node.js / Express
RESTful architecture, JWT authentication, backend middleware
MongoDB
Document modeling, schema validation, aggregation pipelines
Tailwind & Framer Motion
Design systems, responsive interfaces, orchestrated animations
Workflow & Reproducibility
Systems, Tools & Methodologies
Developer tooling, version control, scientific environments, and experimental rigor.
Jupyter Notebooks
Exploratory data analysis, interactive experiments, model diagnostics
Git & GitHub
Version control, branching workflows, open-source collaboration
REST APIs & Web Scraping
Dynamic headless extraction, resilient rate-limiting, JSON APIs
Linux & Bash
Shell scripting, remote server environments, environment management