Senior AI Engineer with experience in Agentic AI, LLM-driven automation, and AI system design for enterprise ERP environments. Skilled in architecting scalable AI workflows, building intelligent agents, integrating cloud-native infrastructure, and fine-tuning open-source LLMs for production.

Proven ability to deliver end-to-end AI solutions — from dataset creation and model training to deployment, monitoring, and optimization. Passionate about creating intelligent autonomous systems that improve productivity and business decision-making.

A brief on my background

I’m an AI and Machine Learning Engineer building intelligent systems that survive real-world constraints — business logic, latency, cost, and maintainability. My work focuses on agentic AI and LLM-driven automation designed to reason, act, and adapt inside enterprise environments. From problem framing to production deployment, I prioritize reliability over novelty.

My journey into AI didn’t follow a traditional path — I transitioned from a commerce background into engineering, which shaped how I think about systems. I value clarity and fundamentals over buzzwords, especially where theory meets messy reality. Technically, I work with Python, FastAPI, Flask, SQL, Redis, Docker, and agentic architectures automating complex ERP workflows.

Alongside engineering, I write to deeply understand ideas — from self-attention to architectural trade-offs in modern AI systems. This portfolio is my public notebook, capturing experiments, insights, and evolving lessons. Long-term, I aim to build intelligent products at the intersection of research, engineering, and real impact. This page isn’t meant to be complete or final. It will change as my work changes. That’s intentional. If you’d like to see what I’m building or thinking about, the rest of this site is a good place to start.