Hey, I'm Reagan Dias|

About

I’m a Software Engineer who cares deeply about thoughtful design and building systems that feel intentional.

I enjoy working across the stack and exploring how AI can enhance real products — not just demos.

Career Journey

The work that shaped how I build: systems, automation, product thinking, and shipping responsibly.

Sep 2025 — PresentEli Lilly and Company — Lilly, Basingstoke

Software Engineer

Owned product experiences end-to-end — UX, frontend architecture, and cloud deployment.

FrontendAWSLLMsGraphRAG

Internal CRM: led UI/UX + frontend development; defined requirements with a small team.
Designed frontend architecture for maintainability and smooth backend integration.
Deployed and managed the service on AWS with a focus on scalability and security.
Built a GraphRAG prototype that answers natural-language queries and generates visualisations.
Extending it toward a chatbot-style interface integrated into the CRM.

Internal CRM: led UI/UX + frontend development; defined requirements with a small team.
Designed frontend architecture for maintainability and smooth backend integration.
Deployed and managed the service on AWS with a focus on scalability and security.
Built a GraphRAG prototype that answers natural-language queries and generates visualisations.
Extending it toward a chatbot-style interface integrated into the CRM.

Jul 2024 — Jul 2025Eli Lilly and Company — Lilly House, Basingstoke

Business Analyst

Turned messy work into repeatable systems — measurable savings, less manual effort, better UX.

DataAutomationPower BI

Spearheaded a web scraper across 30 websites; managed a team of 3.
Saved $64,000 annually versus external solutions; reduced manual effort by 130 hours/year.
Built an interactive Power BI dashboard and iterated based on feedback.
Created an AI-powered v2 to remove manual hardcoding and improve scalability for cloud integration.
Evaluated ethical and legal use to ensure compliance and protect reputation.

Jul 2023 — Jul 2024Eli Lilly and Company — Arlington, Bracknell

System Analyst (Industrial Year)

Learned how real teams run: requirements, operations, and automation that sticks.

AutomationOpsDashboards

Built dashboards by gathering requirements and running weekly stakeholder meetings.
Automated VDI software collection across 12 images with PowerShell; scheduled monthly updates.
Delivered a solution saving 260+ hours annually; supported security investigations via version tracking.
Won both 6-month and 12-month "Innovate Lilly" challenges; nominated for Student Innovation Award.

Sep 2021 — 2025University of Reading

BSc Computer Science (Industrial Year)

First-class foundations, shipped systems work, and a dissertation built for scale.

SystemsMLCloudResearch

First Class Honours (83%).
Dissertation: scalable image-to-image retrieval (FAISS, FastAPI, Docker, AWS ECS).
Won the Sullivan Prize for best Computer Science Project (publication underway).

Featured Work

Selected projects where design, engineering, and intent come together.

PRISM — Open Source Visual Search

PRISM is a scalable image-to-image search system designed for e-commerce, enabling users to find visually similar products using a single uploaded image.

PythonPyTorchCLIPResNet50FAISSFastAPIDockerAWS (ECS, S3, IAM, ALB)ReactUvicornLocust

Phi.ai

An AI decision layer for Web3 that combines persistent personas, seeded predictions, and on-chain verification to create trustworthy autonomous agents.

Next.jsReactTailwindCSSPythonSpoonOSOpenAI APINeo N3NeoFS

Liver Disease Prediction

Liver Disease Prediction

A predictive machine learning model built to identify liver disease risk from clinical datasets, exploring preprocessing, feature engineering, and model performance trade-offs.

PythonPandasNumPyScikit-learnXGBoostMatplotlibSeabornJupyter Notebook

Get in Touch

Always open to interesting conversations, collaborations, or new opportunities.

LinkedIn GitHub