Technology Stack
My technical toolkit has been shaped by solving real business problems across diverse domains. Each technology I work with has been battle-tested in production environments to deliver measurable results.
From developing multilingual NLP pipelines and fine-tuning LLMs to building full-stack applications, I select technologies based on their ability to solve specific business challenges rather than following trends.
Explore my technical skills through multiple interactive visualizations
Circular Graph
Interactive visualization showing skills as interconnected nodes with relationship mapping.
Timeline View
Chronological progression showing skill acquisition and evolution over a decade.
Technical Domains
Frontend
Creating responsive, interactive user interfaces and engaging user experiences.
Backend
Building robust server-side applications with scalable architecture.
Databases
Designing and implementing efficient data storage solutions.
Data Science & Analytics
Extracting insights and value from structured and unstructured data.
AI & Machine Learning
Implementing intelligent systems and ML models for practical applications.
Web Scraping & Automation
Automating repetitive tasks and extracting data from various sources.
DevOps & Cloud
Deploying and managing applications in cloud environments.
Project Management
Coordinating technical projects and ensuring efficient delivery.
The Full-Stack AI Engineering Advantage
My cross-domain expertise means I can see the bigger picture and make decisions that optimize the entire system, not just individual components. This leads to more elegant architectures, faster development cycles, and solutions that truly meet business needs.
When one person guides a project from concept to implementation, you gain significant advantages: no miscommunication between specialists, consistent vision throughout the process, faster development cycles, and more cohesive final solutions.