Professional Overview
GenAI Engineer building production-ready AI systems with expertise in LLMs, agentic AI, RAG, multimodal models, and fine-tuning. Passionate about creating intelligent products across healthcare, infrastructure, and automation using Python, PyTorch, FastAPI, React, and modern AI frameworks.
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.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
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.
