Portfolio

RAG Document Assistant

Developed a Retrieval-Augmented Generation (RAG) document assistant to enable contextual question answering over custom data, demonstrating practical integration of LLMs into backend systems.

PythonLLMsRAGVector Databases
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Job Market Insights Pipeline

A data pipeline that aggregates, analyzes, and delivers actionable insights from job market trends using cloud infrastructure and data analytics.

PythonPostgreSQLdbtStreamlitAWS S3
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Serverless AI News Engine

Built a serverless AI-driven content pipeline that collects, processes, and summarises articles using AWS Lambda, DynamoDB, and LLM integration. Designed for scalability and automation, the system demonstrates how AI workflows can be integrated into production-style backend services.

AWS LambdaDynamoDBAmazon BedrockEvent-driven Architecture
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AI-powered Websites (Divlytics)

Client-focused web projects built using AI-assisted workflows and cloud-based deployment.

Next.jsReactTypeScriptAWS
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AI Automation & Intelligent Workflows

AI-driven workflows designed to automate real-world tasks, improve decision-making, and reduce manual effort.

PythonLLMsAutomationCloud Services
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