Throughout my 8+ years in software engineering, I've gained solid experience across a wide range of technologies, from AI/ML systems to cloud infrastructure. Here's my current technology stack:

💻 Programming Languages

TypeScript

Proficient

Primary language for backend and frontend development. Building scalable enterprise applications with type safety.

Python

Advanced

AI/ML development, data processing, and automation. Building intelligent systems and APIs.

Java

Advanced

Enterprise applications and backend systems. Solid foundation in OOP and design patterns.

🏗️ Frameworks & Libraries

NestJS

Proficient

Building scalable, enterprise-grade backend applications with TypeScript and dependency injection.

FastAPI

Proficient

High-performance Python APIs for AI/ML services with automatic API documentation.

React

Advanced

Modern frontend applications with hooks, context, and component-based architecture.

RxJS

Advanced

Reactive programming and event-driven architectures for complex async workflows.

🧠 AI & Machine Learning

RAG Systems

Proficient

Retrieval-Augmented Generation architecture for AI applications with vector databases and semantic search.

Large Language Models

Proficient

Building and integrating LLM-powered solutions with prompt engineering and fine-tuning.

NLU Engines

Proficient

Natural Language Understanding systems for intent recognition and entity extraction.

Speech Technologies

Advanced

STT, TTS, and voice processing pipelines for conversational AI applications.

☸️ DevOps & Cloud

Kubernetes

Proficient

Container orchestration and cloud-native deployments with custom resources and operators.

Helm Charts

Proficient

Kubernetes package management and deployment automation with templating and versioning.

Terraform

Advanced

Infrastructure as Code for cloud automation and reproducible environments.

Docker

Proficient

Containerization and microservices with multi-stage builds and optimization.

☁️ Cloud Platforms

Microsoft Azure

Proficient

Azure services, AKS, and cloud architecture with extensive production experience.

Amazon Web Services

Advanced

AWS infrastructure and cloud services including EC2, S3, Lambda, and ECS.

Additional Technologies

NATS WebSockets SIP REST APIs GraphQL PostgreSQL MongoDB Redis GitHub Actions GitLab CI Angular Git Jira Asana Cursor VSCode