setup
Uses
The tools and stack I actually use. No sponsorships - just what I reach for when building things.
editor & terminal
VS CodePrimary editor - Python, TypeScript, everything
GitHub CopilotAI pair programmer, integrated into VS Code
Windows TerminalPowerShell + Git Bash
Jupyter Notebook / LabFor ML experimentation and EDA
operating system
Windows 11Primary OS for development
languages
PythonPrimary - ML, data, backend, scripting
JavaScript / TypeScriptFrontend and full-stack work
SQLMySQL, PostgreSQL for data work
C / C++DSA and low-level understanding
ml & data stack
Scikit-LearnClassical ML - pipelines, preprocessing, eval
TensorFlow / KerasDeep learning - LSTM, neural networks
PyTorchResearch and flexible DL experimentation
XGBoostGradient boosting for structured data
Pandas + NumPyCore data manipulation layer
Matplotlib + Plotly + SeabornVisualization - exploratory and polished
Power BIBusiness dashboards and stakeholder-facing reports
MATLABStatistical analysis (MathWorks certified)
backend & deployment
FastAPIHigh-performance async Python API server
FlaskLightweight web apps and REST APIs
StreamlitRapid ML demo UIs
DockerContainerizing apps for consistent deployment
RenderCloud deployment for Python web apps
VercelFrontend and Next.js deployment
JoblibModel serialization and parallel compute
ai tools
Google Gemini APILLM integration (used in AutoML chatbot)
Google AI StudioPrompt engineering and API testing
version control & collaboration
Git + GitHubSource control, portfolio hosting, CI/CD
ForageJob simulation platform - British Airways, Deloitte, etc.