I build scalable backend systems, AI applications, and automation pipelines focused on performance, reliability, and real-world business workflows. Over the past 5+ years, I’ve worked on backend engineering, AI systems, computer vision, data engineering, and cloud infrastructure using Python, FastAPI, AWS, Docker, and modern AI frameworks. My experience includes: • AI agents and LLM workflows using LangChain, LangGraph, Ollama, Transformers, and open-source LLMs • Computer vision systems using PyTorch, YOLO, OCR, and deep learning models • ETL/ELT pipelines for data processing, transformation, automation, and analytics workflows • High-performance backend APIs with FastAPI, Django, Flask, and Node.js • Web scraping and browser automation pipelines built for scale and resilience • Async task processing using Celery, RabbitMQ, Redis, and event-driven architectures • AWS infrastructure, Docker deployment, CI/CD pipelines, and cloud automation Tech Stack: ▪︎ Backend: Python, FastAPI, Django, Flask, Node.js, REST APIs • AI/ML: PyTorch, Transformers, YOLO, LLMs, LangChain, LangGraph, Ollama • Data Engineering: ETL, ELT, PostgreSQL, MongoDB, data pipelines • Infrastructure: AWS, Docker, Redis, RabbitMQ, Linux • Frontend: React, Next.js, TypeScript I focus on building maintainable systems with clean architecture, scalable infrastructure, and efficient workflows that are easy to extend and operate.…I build scalable backend systems, AI applications, and automation pipelines focused on performance, reliability, and real-world business workflows. Over the past 5+ years, I’ve worked on backend engineering, AI systems, computer vision, data engineering, and cloud infrastructure using Python, FastAPI, AWS, Docker, and modern AI frameworks. My experience includes: • AI agents and LLM workflows using LangChain, LangGraph, Ollama, Transformers, and open-source LLMs • Computer vision systems using PyTorch, YOLO, OCR, and deep learning models • ETL/ELT pipelines for data processing, transformation, automation, and analytics workflows • High-performance backend APIs with FastAPI, Django, Flask, and Node.js • Web scraping and browser automation pipelines built for scale and resilience • Async task processing using Celery, RabbitMQ, Redis, and event-driven architectures • AWS infrastructure, Docker deployment, CI/CD pipelines, and cloud automation Tech Stack: ▪︎ Backend: Python, FastAPI, Django, Flask, Node.js, REST APIs • AI/ML: PyTorch, Transformers, YOLO, LLMs, LangChain, LangGraph, Ollama • Data Engineering: ETL, ELT, PostgreSQL, MongoDB, data pipelines • Infrastructure: AWS, Docker, Redis, RabbitMQ, Linux • Frontend: React, Next.js, TypeScript I focus on building maintainable systems with clean architecture, scalable infrastructure, and efficient workflows that are easy to extend and operate.WWWW…