Professional Overview
AI Engineer and software developer focused on building production-ready AI applications and scalable backend systems. I work with LLMs, RAG, AI agents, APIs, React, Node.js, and distributed systems, with an emphasis on turning AI capabilities into reliable, useful products rather than just prototypes.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Build agentic AI and RAG systems on FastAPI and ship them to production.
- Built agentic AI platforms across web and CLI using the Model Context Protocol .
- Implemented a modular RAG architecture.
- Designed asynchronous, event-driven backend services on FastAPI.
- Production infrastructure end to end: Linux, NGINX, SSL, Azure, Github Actions.
Key Achievements / KPIs
- Re-architected a latency-critical pipeline from ~8s to sub-second.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Build agentic AI and RAG systems on FastAPI and ship them to production.
- Built agentic AI platforms across web and CLI using the Model Context Protocol .
- Implemented a modular RAG architecture.
- Designed asynchronous, event-driven backend services on FastAPI.
- Production infrastructure end to end: Linux, NGINX, SSL, Azure, Github Actions.
Key Achievements / KPIs
- Re-architected a latency-critical pipeline from ~8s to sub-second.
Education
Field of Study: Electronics and Instrumentation
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
