A technical deep dive into building low-latency AI response streaming on AWS - from failed REST API and SSE attempts to a production WebSocket solution with Lambda, LangGraph, and MLflow.
From fake typing effects to real streaming challenges - our journey implementing and then removing streaming responses in a Next.js + AWS Lambda + Bedrock architecture.
How I transformed my portfolio with an intelligent AI chat assistant powered by AWS Bedrock, Pinecone vector search, and Lambda functions - a complete RAG implementation journey.
Discover how I architected MyAI4, an AI-first streaming platform with unified intelligence, advanced family controls, and deep content analysis—leveraging serverless AWS infrastructure and multi-agent AI to deliver personalized, cross-domain recommendations and rapid service expansion.
Returning to coding and model creation after a break from work demands.
Complete project presentation showcasing the development of a Retrieval-Augmented Generation (RAG) system using Large Language Models on Databricks platform - my capstone project for AI Data Specialist Level 7 apprenticeship.
Advanced machine learning approaches for time series forecasting and anomaly detection in financial markets, demonstrating the application of TensorFlow and deep learning techniques to protect against market manipulation and identify trading anomalies.
Advanced deep learning neural network implementation for fraud detection in financial services, demonstrating enterprise-grade machine learning solutions using TensorFlow, AWS SageMaker, and cloud computing architectures for share registrar and pension services.
Applicability of an AI Chat Assistant in resolving knowledge compartmentalization within a workplace.
Enterprise-grade automation solution developed at Equiniti combining Excel, Azure DevOps APIs, Python analytics, and Power Query to transform manual testing workflows into intelligent, automated reporting systems for large-scale project management.
Starting to write down my projects in blog / post style.