Fredrick Alli

Hi, I'm Fredrick Alli

I'm an AI Engineer, Data Scientist & Data Engineer who turns complex data and LLMs into real, production-ready systems. Specialising in GenAI/RAG, machine learning, and cloud-native data engineering, I build agents, models, and pipelines that drive real business impact.

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Python LLM Agents RAG LangChain FAISS Hugging Face FastAPI PyTorch scikit-learn Voice AI (TTS/ASR) SQL dbt Snowflake PySpark Databricks Microsoft Fabric Docker Kubernetes Git CI/CD Azure AWS GCP Terraform Machine Learning NLP Computer Vision Health AI Power BI

Featured Projects

A cross-section of recent work: a full-stack booking platform, regulatory risk modelling, and GenAI/RAG systems.

Cuisine Table restaurant booking platform home page Full-Stack App

Cuisine Table

A full-stack restaurant booking marketplace: customers browse restaurants across four cuisines, reserve tables, and pre-order menu items, while a platform admin manages every restaurant's profile, menu, and bookings from a dedicated dashboard.

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Risk and Advanced Modelling pharmacovigilance dashboard Risk Analytics

Risk & Advanced Modelling

Four risk-analytics modules pulling real, live regulatory data (openFDA, ClinicalTrials.gov, US Treasury OFAC), built on a shared ML risk-scoring framework and surfaced through an interactive Streamlit dashboard.

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Multi-PDF RAG Chatbot interface GenAI / RAG

Multi-PDF RAG Chatbot

A Retrieval-Augmented Generation chatbot for holding natural language conversations with multiple PDF documents, with the FAISS index refreshing automatically as new documents are added.

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ClaimTrackr insurance claims processing interface GenAI / RAG

ClaimTrackr

An AI-powered insurance claims processing assistant that automates the claims lifecycle: document parsing, embedding-based policy matching, real-time eligibility validation, and an AI chatbot for policy handbook lookup.

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About Me

An AI Engineer, Data Scientist & Data Engineer with a strong background in GenAI/RAG systems, LLM agents, machine learning, and cloud data platforms (Azure, AWS, Snowflake, Databricks, Microsoft Fabric), helping organisations in finance, healthcare, and logistics turn data into decisions.

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