Backend Developer | Machine Learning Architect

I am a Machine Learning Architect passionate about building scalable backend systems and deploying intelligent software solutions that create real world impact. My approach combines practical problem solving with performance optimization, all grounded in solid engineering fundamentals.

• Focus Areas: Deep Learning • Computer Vision • LLMOps • RAG Pipelines • Backend APIs

• Tech Toolkit: Python • C++ • JavaScript • React.js • Next.js • PyTorch • FastAPI • LangChain • Docker • GCP • AWS

I excel at solving complex engineering challenges from concept to deployment: designing robust, fault-tolerant backend services; streamlining machine learning workflows for optimal training and inference; and building scalable, maintainable systems that perform reliably under real-world conditions. My philosophy balances innovation with dependability, emphasizing modular architecture, comprehensive testing, and performance optimization to deliver robust solutions from microservices to RAG pipelines that generate measurable business value.

I'm always open to exciting collaborations, internship opportunities, and engaging discussions about AI, backend engineering, and systems design.

• [email protected]
• LinkedIn
• Twitter / X

Thanks for stopping by. Always learning, Always building.