Engineer at the intersection of scalable systems and artificial intelligence. I craft backend solutions, APIs, and RAG-driven architectures that power real-world AI applications. Skilled in Python, system design, and ML/GenAI pipelines, I bring a balance of technical depth and practical problem-solving to every project.
Developer & AI/ML Enthusias
I'm a passionate technologist who loves building intelligent systems and scalable backend solutions. My expertise spans backend engineering, data pipelines, and AI/ML, with a strong focus on Generative AI, retrieval-augmented generation (RAG), and agentic workflows.
With experience across the stack, I enjoy creating end-to-end solutions that combine robust system design with modern AI capabilities. Recently, I’ve been working on cloud-native architectures, data engineering, and deploying production-ready applications that bridge backend performance with AI innovation.
Designing scalable APIs, microservices, and robust backend architectures using modern technologies.
Building intelligent systems with machine learning, deep learning, and generative AI technologies.
Implementing cloud-native solutions on AWS and Azure with focus on performance and scalability.
Built production-grade ingestion, orchestration, and agentic AI workflows for healthcare data platforms, focusing on scalable pipelines, governed data operations, and reliable high-throughput processing.
Specialized in building robust backend systems and APIs for enterprise-level applications. Focused on microservices architecture and cloud-native development practices. Developed scalable solution with integartion GEN AI and RAG based architectures to deliver intelligent solutions.
Developed end-to-end enterprise product applications using modern frameworks and technologies. Gained comprehensive experience in both frontend and backend development.