Core Domains

What I Do

01
neurology Primary Expertise

Data Science & Machine Learning

I follow the complete data science pipeline: collecting and processing real-world datasets, training and evaluating ML models using cross-validation, then deploying them as accessible web applications via Flask REST APIs.

Random Forest / SVM
Decision Trees / Naive Bayes
Model Evaluation & CV
Feature Engineering
NumPy / Pandas
Matplotlib / Visualisation
scikit-learn Advanced
Data Pipelines Advanced
Model Evaluation Advanced
Deep Learning (CNN/Transformers) Learning
03
cloud_upload DevOps & Deployment

API & Cloud Deployment

Containerise ML applications with Docker, build Flask REST APIs serving real-time predictions, and deploy on Kubernetes (Azure) or Vercel/Heroku/Render. Full DevOps pipeline from training to production.

Flask REST APIs
Docker Containerisation
Kubernetes on Azure
Vercel / Heroku / Render
Firebase & Firestore
CI/CD Pipelines
APIWORKER CACHEDBK8S
Docker Kubernetes Flask Azure
In Progress

Currently Learning

neurology
Deep Learning
CNNs · Transformers
psychology
LLM APIs
Prompt Engineering
cloud
Azure ML
Cloud ML Deployment
schema
Cloud Security
Advanced Techniques
schema
Cyber Security-101
Basic Techniques
schema
DevOps
Advanced Techniques