Professional Overview
I’m an AWS Certified Solutions Architect and AI/Cloud Engineer with experience designing and deploying scalable ML pipelines, GenAI platforms, and cloud-native applications on AWS and GCP. My work spans automating model training and CI/CD workflows, building serverless AI microservices, managing containerized applications with Docker, ECS, EKS, and Kubeflow, and architecting real-time data pipelines and feature stores. I’ve also delivered GenAI solutions with Amazon Bedrock, Hugging Face, Vertex AI, and Gemini for use cases like chatbots, summarization, translation, and personalized content. I enjoy solving complex problems by blending AI, cloud, and automation to create reliable, impactful, and cost-optimized solutions.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
