Technical Founder · Software Architect
Javad Kavossi
Software Architect · Technical Founder · Infrastructure Engineer
Since 2017, I've been designing and building scalable software, real-time systems, Web3 infrastructure, and AI-powered products — built for real markets, not just portfolios.
My focus is on systems that are resilient, extensible, and ready to grow at real scale.
Engineering Philosophy
How I Think About Building Systems
A good system isn't just clean code — it must be resilient, extensible, and ready to grow at real scale.
Real, Not Demo-Ready
Technical decisions are based on actual product needs, real users, and production conditions — not theory or trending patterns.
Scale Starts in the Architecture
Scalable systems aren't built by adding tools later. Database design, API structure, infrastructure, and data flow must be right from day one.
AI is a Tool, Not a Replacement for Thinking
I use AI to accelerate analysis, development, and content — but architecture decisions, quality, and product direction remain human and engineering-driven.
Core Expertise
What Kind of Systems I Build
My focus is on building products that don't just run — they grow, stay resilient, and get used in the real world.
Scalable Systems
Software designed to handle growth, user load, and operational pressure — from backend architecture to infrastructure and database.
AI Infrastructure
Building data pipelines, connecting AI/LLM models, and deploying intelligent systems that work inside a real product.
Blockchain & Web3
Web3 infrastructure, smart contracts, multi-chain payments, and decentralized services built for production use.
Real-time Systems
Systems that process data, messages, and events instantly — suited for financial markets, games, and interactive platforms.
Product Engineering
Turning an idea into a real software product — from architecture and development through deployment, optimization, and growth.
Platform & DevOps
Cloud-native infrastructure, CI/CD pipelines, monitoring, and stable deployments with Docker and Kubernetes.
Featured Work
Systems I've Built
Examples of real-time systems, Web3 infrastructure, and data-driven platforms I architected and shipped.
D-Pay
Web3 Payment Infrastructure
Designed and built a decentralized payment gateway ecosystem: multi-chain transaction processing, real-time wallet infrastructure, and modular payment APIs serving international digital products.
CAT
AI-Powered Market Intelligence Platform
Built a real-time arbitrage monitoring platform: multi-exchange data ingestion, AI-driven signal generation, and streaming analytics infrastructure for live crypto market intelligence.
Anarchain Core
Engineering Backbone of Anarchain
The technical foundation of Anarchain: scalable system design, real-time infrastructure, Web3 platforms, and software engineering for 100+ international projects over 9 years.
Engineering Stack
My Engineering Stack
Tools, frameworks, and infrastructure I use to design, build, and run real-time, scalable, AI-powered systems.
Frontend & Apps
Backend & APIs
Real-time & Messaging
Data & Storage
Cloud & DevOps
AI Engineering
Web3 & Blockchain
Game & Interactive
Observability
Product & Design
Technical Proof
My Technical Footprint on GitHub
A selection of projects, advanced practice repos and technical prototypes across Go, Node.js, AI, gRPC, NestJS, C++, IoT and real-time systems.
View GitHub↗GoLang_learning
Go fundamentals, goroutines, error handling, and concurrency patterns — a structured practice repo.
grpc-NodeJs
Express.js + gRPC integration for microservice communication — combining REST and gRPC in one service.
nestjs_Advanced
Advanced NestJS API with MongoDB, scalable CRUD structure, and JWT-based authentication.
Python-Advanced-MachinLerning
AI-powered real estate analysis for California — investment location discovery with machine learning and demographic data.
CPP
ESP32, IoT, and secure microservice communication in C++ — hardware-level programming practice.
ReactTS-NodeJs-Realtime-Multiplayer-Game
Real-time multiplayer Tic-Tac-Toe with React, TypeScript and Node.js — room management and live play.
AI-Augmented Workflow
Human Engineering, AI Accelerated
AI tools operate as a support layer — from research and architecture through development, testing, and visual design. Core decisions remain grounded in engineering experience, system architecture, and real product needs.
Research & Strategy
Market research, idea validation, technical documentation, and early-stage decision-making.
Architecture & Design
System architecture analysis, problem decomposition, edge case review, and structural design.
Development
Faster development, refactoring, code completion, testing, and implementation review.
Visual & Content
Visual concept ideation, design assets, image generation, and content production.
Humans decide. AI accelerates execution.
Engineering Journey
12 Years of Building
From a first startup and mobile app to Web3 infrastructure, real-time systems, and international projects.
Collaborate
Let's Build a Real System
If you need engineering experience for software product development, system architecture, infrastructure, or technical consulting — let's talk about how we can work together.
Software products · System architecture · Web3 · AI · Real-time infrastructure