Professional story
I’m motivated by the intersection of intelligent systems and product reliability. I enjoy turning technical ideas into useful tools that can be deployed and maintained well.
I’m an AI Engineer and Backend Developer with experience building machine learning applications, LLM-based workflows, and robust backend services. I care about solving real problems through clear architecture, thoughtful product decisions, and measurable results.
My background combines Python-first development with practical experience in data systems, APIs, and applied AI. I like work that is both technically interesting and useful to users.
I want to grow into a role where I can build AI products end to end, contribute to backend reliability, and help teams ship ambitious systems with strong engineering standards.
I’m especially interested in roles that blend model development, application engineering, and product thinking.
I prefer clear requirements, modular systems, and concise communication. I work best when I can connect product goals with technical implementation and make the tradeoffs explicit.
I value maintainability, documentation, and thoughtful iteration over unnecessary complexity.
Beyond code, I’m interested in intelligent interfaces, applied AI, systems design, research-driven product development, and improving how humans interact with technology.
Delivered projects in NLP, computer vision, and LLM-powered workflows.
Strengthened API design, database integration, and service architecture.
Built the core habits around problem solving, clean code, and iterative delivery.
Bachelor’s degree in a technical discipline with strong exposure to software engineering, computing, and applied AI concepts.
Experience across academic, project-based, and applied development settings. Each project emphasized practical execution, documentation, and business relevance.