Professional Overview
I'm an AI Engineer and Machine Learning Engineer with hands-on experience architecting, building, and deploying production grade Large Language Model (LLM) and Generative AI (GenAI) solutions, including Retrieval-Augmented Generation (RAG) systems, AI agents, and semantic search pipelines. Strong backend engineering background using Python and Go.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Working as an Associate Data Scientist focused on Generative AI, LLMs.
- Architected scalable Retrieval-Augmented Generation (RAG) systems.
- Design and develop scalable AI applications using Python, FastAPI, Azure OpenAI.
- Build metadata-aware retrieval pipelines, semantic search systems, REST APIs.
- collaborating with solution architects and deliver production-grade AI solutions
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Working as an Associate Data Scientist focused on Generative AI, LLMs.
- Architected scalable Retrieval-Augmented Generation (RAG) systems.
- Design and develop scalable AI applications using Python, FastAPI, Azure OpenAI.
- Build metadata-aware retrieval pipelines, semantic search systems, REST APIs.
- collaborating with solution architects and deliver production-grade AI solutions
Education
Field of Study: Computer Science and Engineering
Field of Study: Computer Science and Engineering.
Areas of Expertise
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
