Live
AlignIQ
AI-assisted requirements and delivery alignment with evidence-backed gap reporting.
Read the product story ↗Selected work
Products where software meets a real operational need.
Live public products alongside case studies spanning AI, Web3, leadership insight, cloud maintenance, enterprise analytics, insurance, platform services, and biometric research.
About outcomes
These case studies state verified delivered capabilities and operational results. Internal business metrics are not published here, so no private or unverified numbers have been invented.
Now shipping · Vercel
Open the live product gallery ↗Three public products with live demos.
Fresh production snapshots, direct source links, and deeper product narratives make the current building work as visible as the professional history.
Live
NFT Terminal
A no-code ERC-721 launchpad with a publicly verifiable Monad Testnet contract.
Read the product story ↗
Live
Monad Wallet Checker
A focused MetaMask and address-balance utility with resilient RPC configuration.
Read the product story ↗Featured · Applied AI
Read the case study ↗Analytics, retrieval, and agent-assisted reliability.
A public-safe flagship case study connecting Retail360 decision support, a document RAG workflow, and multi-agent pipeline triage to evaluation and operational controls.
Retail360
AI-assisted analytics supporting approximately 50 stakeholders across 5+ retail accounts.
Document intelligence
Approximately 1,500 indexed documents and 300+ reported monthly questions.
Agent reliability
Monitoring across 20+ pipelines with approximately 50 reported monthly failure triages.
01 · Operations intelligence · 2020–2021
AWS + ReactAmazon Impact Application
An internal application designed to help leadership understand weekly operations and act on the signal instead of assembling it manually.
Problem
Weekly operational reviews need a consistent view of data that decision-makers can access quickly and trust.
Build
Developed application workflows using AWS Lambda, DynamoDB, and React to turn operational data into usable leadership insight.
Ownership
Handled high-severity incidents and carried fixes through root-cause resolution, improving the product beyond the immediate recovery.
Outcome
Gave leadership a repeatable weekly operational view while strengthening the application through durable incident fixes.
02 · Cloud operations · 2020
Spring Boot + TypeScriptOracle Cloud Product Change Notifications
A scheduling and audit system for stakeholders coordinating maintenance updates across Oracle products.
Problem
Product maintenance changes need controlled scheduling, clear stakeholder visibility, and a trustworthy historical record.
Build
Developed full-stack flows with Spring Boot and React in TypeScript, connecting business scheduling to durable backend models.
Data design
Introduced models that preserved the history of changes, creating an auditable trail rather than only the latest state.
Outcome
Connected maintenance scheduling with persistent change history so stakeholders could coordinate updates and review what changed over time.
03 · Enterprise analytics · 2018–2020
Java + DjangoTeradata Vantage
Tools that helped customers create, run, and provision analytical functions across desktop and cloud environments.
Development environment
Built capabilities in an Eclipse Rich Client Platform IDE using plugins and fragments for creating and executing analytical functions.
Cloud provisioning
Developed a Python Django microservice from scratch to install analytical functions as customers provisioned Vantage clusters.
Lesson
Developer experience and platform automation are two sides of the same product: one defines what is possible, the other makes it repeatable.
Outcome
Supported both creation and execution of analytical functions, then automated their installation as Vantage clusters were provisioned.
04 · Insurance systems · 2016–2018
Java + Spring BootAXA Germany Insurance Application
A calculation system for generating insurance premiums on demand, supported by a more dependable build process.
Calculation engine
Implemented business logic that generated insurance premiums dynamically from policy and customer inputs.
Automation
Automated the application’s build system to improve repeatability and reduce manual release friction.
Lesson
In regulated business systems, maintainability and traceability are product features—not engineering afterthoughts.
Outcome
Delivered on-demand premium calculation logic and a repeatable build workflow for a regulated business application.
05 · Platform engineering · 2021
Microservices + PegaPegasystems Platform
Microservice contribution inside an enterprise application platform, supported by Pega and Oracle Cloud architecture learning.
Service contribution
Contributed to a microservice for the Pega platform and worked within its broader enterprise application ecosystem.
Architecture context
Applied Pega system architecture concepts alongside Oracle Cloud foundations and architecture knowledge.
Lesson
Platform work rewards clean contracts, strong conventions, and empathy for the teams building on top of your service.
Outcome
Added a microservice contribution within a broader enterprise platform while working to the conventions that make shared services dependable.
06 · Biometric research · 2014–2015
MATLAB + BiometricsPSO Palmprint Recognition System
A final-year research project for distinguishing a genuine palmprint from an impostor through segmentation, feature extraction, and distance-based matching.
Segmentation
Used Particle Swarm Optimization to isolate the useful palmprint region for downstream analysis.
Feature extraction
Applied Gabor filters to transform visual ridge patterns into comparable feature information.
Matching
Used Euclidean distance to compare a candidate palmprint with the registered sample and classify the result.
Outcome
Completed an end-to-end biometric research pipeline spanning region isolation, feature extraction, and candidate classification.
Public code
Browse GitHub ↗Projects that can be opened.
My GitHub profile contains 26 public repositories, with pinned work across full-stack development, competitive programming, reflections, Kubernetes, and this portfolio.
Want to discuss the engineering behind the work?
I can speak in more depth about architecture choices and lessons where confidentiality allows.