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Home/About/Skills

Skills & Engineering Disciplines

Technical competencies across programming, databases, backend systems and web technologies.

Competency radar

Python at the core

Eight core dimensions of my work, from Python and SQL to automation and web applications.

  • Python 3.x & scripting — 94%
  • Task automation & scraping — 92%
  • Relational SQL & normalization — 90%
  • Backend APIs & architecture — 88%

Programming

Fundamental problem-solving and structured algorithmic code design.

Primary Language
Python94%

Core scripting, data structures, file I/O, modular architecture and backend logic.

Python 3.xData StructuresStandard LibraryPip/Virtualenv
Foundation
Programming Fundamentals90%

Memory models, control flow, algorithmic complexity and clean code hygiene.

AlgorithmsData FlowDebuggingCode Quality
Core Competency
Object-Oriented Programming88%

Encapsulation, inheritance, polymorphism, design patterns and domain modeling.

ClassesInterfacesSOLIDModularity
Practical Tooling
Scripting & CLI Tools89%

Automated shell tools, batch tasks, argument parsing and system tasks.

BashArgparseSubprocessTask Runner
Engineering Mindset
Problem-Solving91%

Breaking complex real-world requirements into deterministic, testable steps.

LogicEdge CasesAnalytical ThinkingRefactoring

Databases and Data

Structured storage, indexing, relational design and data pipelines.

Active Focus
Database Design88%

Entity-relationship modeling, normalization, foreign key constraints and relational schemas.

ER ModelingNormalizationConstraintsIndexes
Core Competency
SQL90%

Multi-table JOINs, subqueries, aggregations, window functions and transactions.

PostgreSQLMySQLSQLiteACID
Core Competency
Data Organization87%

Structuring raw and semi-structured input into consistent, query-optimized formats.

JSONCSVValidationData Cleaning
Practical Focus
Data Processing & ETL86%

Extracting, transforming and loading datasets with automated validation pipelines.

ETLPandasRegexBatch Operations
Architecture
Information Systems84%

Designing end-to-end data lifecycle systems that ensure reliability and integrity.

System ModelingAudit TrailsBackupsIntegrity

Backend and Software

Server architecture, API endpoints, background jobs and application logic.

Core Focus
Backend Development88%

HTTP requests, routing, business logic execution and database query execution.

FastAPIFlaskDjango BasicsREST
Engineering Practice
Software Architecture85%

Layered MVC/Clean architecture, separation of concerns and dependency management.

MVCService LayerRepository PatternDecoupling
Core Competency
APIs & Integrations87%

Consuming third-party web APIs, designing REST contracts and handling authentication.

REST APIsJSONHTTP StatusError Handling
Specialized Interest
Automation92%

Automating data entry, web scraping, scheduled notifications and file syncing.

Scheduled TasksTask QueuesWeb ScrapingScripts
Core Focus
Application Logic89%

Enforcing business constraints, authorization checks and transaction boundaries.

Domain LogicState MachinesSecurity ChecksValidation

Web and Digital Technologies

Delivering backend data to users through responsive, accessible interfaces.

Practical Skill
Web Applications82%

Connecting backend APIs with user interfaces to deliver interactive digital services.

HTML5CSS3JavaScript / TypeScriptReact
Practical Skill
Responsive Interfaces84%

Mobile-first layouts that adapt smoothly across phones, tablets and wide monitors.

FlexboxCSS GridMedia QueriesTouch Targets
UX Engineering
Forms & User Interactions85%

Validated, error-resilient input forms with clear accessible feedback.

ValidationStateFeedbackAccessibility
DevOps Basics
Website Publishing & Hosting80%

Deploying production websites to hosting platforms including Hostinger, VPS and Cloud.

HostingerApache / .htaccessPHP HostingDNS & SSL
Practical Skill
Online Platforms83%

Building accessible consumer web tools like Grams2Cups that solve specific needs.

Digital ToolsEcosystemSEO BasicsPerformance

Skills in practice

See these skills applied in real projects.