Technical Skills
Skills & Expertise
A complete overview of my AI/ML technical skills — written in plain English so anyone can understand what each technology does.
Core AI/ML Skills
Machine Learning
I build systems that learn from data to make predictions automatically.
Deep Learning
Neural networks that learn patterns from images, text, and time-series.
Computer Vision
Teach computers to see — detect objects, analyse medical scans.
NLP
Systems that understand human language — chatbots, sentiment tools.
Data Analysis
Find patterns and insights in data that drive business decisions.
AI Automation
Python pipelines that automate repetitive workflows and tasks.
Python Dev
Clean, well-documented Python code for every AI/ML project.
Libraries, Frameworks & Tools
Python
LanguageTensorFlow
Deep LearningKeras
Deep LearningPyTorch
Deep LearningOpenCV
VisionYOLOv8
VisionScikit-learn
MLXGBoost
MLLangChain
LLMFAISS
LLMPandas
DataNumPy
DataMatplotlib
VizSeaborn
VizStreamlit
DeployFastAPI
DeploySQL
DataPostgreSQL
DataWhat My Skills Mean For You
Healthcare Companies
AI that analyses medical images and detects diseases — helping doctors work faster and more accurately.
Manufacturing Plants
Real-time quality control systems that detect defects and monitor safety compliance on production lines.
Tech Startups
Smart features like face recognition, content moderation, recommendation engines, and AI chatbots.
Finance Companies
Fraud detection, stock prediction tools, risk analysis models, and automated financial report analysers.
E-Commerce Businesses
Product recommendation systems, churn predictors, review sentiment analysis, and demand forecasting.
Marketing Agencies
Sentiment dashboards, content generation systems, audience analysis tools, and automated reporting.