Building production-ready AI, web, mobile, and cloud platforms.

I design and ship production-ready AI systems that go beyond simple API calls. My work spans full RAG pipelines — from document ingestion, chunking, and embedding to vector storage and retrieval — integrated with OpenAI, Claude, and Gemini models. I apply structured evaluation using RAGAS and LLM-as-Judge frameworks to measure hallucination rates, relevance, and faithfulness, ensuring AI output is reliable and measurable before going live.

Technologies Used

OpenAI

C

Claude

G

Gemini

LangChain

L

LlamaIndex

R

RAG Systems

V

Vector DBs (Qdrant, Chroma)

P

Prompt Engineering

A

AI Eval (RAGAS, LLM-as-Judge)

I architect secure, scalable cloud infrastructure on Azure and AWS, with hands-on experience containerizing applications using Docker and orchestrating them with Kubernetes. I build end-to-end CI/CD pipelines using GitHub Actions that automate testing, building, and deployment across staging and production environments. Security is always first — from isolating secrets in Azure Key Vault to applying role-based access control and DevSecOps practices across every layer of the stack.

Technologies Used

Azure

AWS

Docker

Kubernetes

GitHub Actions

C

CI/CD Pipelines

D

DevSecOps

SonarQube

I build robust, high-performance backend services using Python, Node.js, Spring Boot, and Java — with secure REST APIs and real-time WebSocket integrations. My data layer experience spans relational databases (PostgreSQL, MySQL, SQLServer), caching with Redis, NoSQL stores, and message queues with RabbitMQ for distributed, event-driven architectures. Every service I build is backed by proper authentication, rate limiting, and error handling to ensure production reliability.

Technologies Used

Python

Node.js

Spring Boot

J

Java

PostgreSQL

M

MySQL

Redis

NoSQL DB

Firebase

RabbitMQ

R

REST APIs / WebSockets

I deliver polished, high-performance frontend applications using React, Next.js, and Angular — with TypeScript enforcing reliability at every layer. My interfaces are built with scalable design systems using Tailwind CSS, Material UI, and Radix UI primitives, ensuring both pixel-level precision and long-term maintainability. From complex enterprise dashboards to user-facing consumer apps, I obsess over responsiveness, performance, and accessible component architecture.

Technologies Used

React

N

Next.js

Angular

TypeScript

T

Tailwind CSS

M

Material UI

R

Radix UI

H

HTML & SCSS

I build cross-platform mobile applications for iOS and Android using React Native, Ionic Angular, and Flutter — shipping native-quality experiences from a single codebase. My mobile work spans secure authentication flows with OAuth2 and JWT, payment gateway integrations, push notification systems via Firebase Cloud Messaging, and custom native Capacitor plugins for deep device API access. From consumer marketplaces to enterprise field apps, I deliver reliable, performant, and polished mobile products.

Technologies Used

React Native

I

Ionic Angular

Flutter

I

iOS / Android

F

Firebase Cloud Messaging

C

Capacitor Plugins

I build immersive 3D experiences and high-volume data interfaces that turn complex information into clear, interactive visuals. With Three.js I have delivered interactive 3D product maps for hypermarket navigation showcased at NRF USA and Korea, and with Fabric.js and Canvas APIs I built real-time image processing tools for ESL wall displays. For enterprise data, I implement AgGrid and ECharts to handle thousands of live data rows with sorting, filtering, and drill-down — keeping dashboards fast and usable under heavy load.

Technologies Used

Three.js

F

Fabric.js

A

AgGrid

ECharts

H

Highcharts

C

Chart.js

I work with a professional toolchain that keeps code quality high and collaboration seamless across every project. VS Code paired with Git-based branching strategies forms the backbone of my daily development workflow, with clean commit history and code review practices on every team. For design-to-code handoff I use Figma to align precisely with designers, while Android Studio and Xcode handle native mobile builds, device debugging, and platform-specific profiling across iOS and Android.

Technologies Used

VS Code

GIT

Figma

Android Studio

XCode