Building pragmatic AI solutions for modern teams and organizations. Specializing in:

• Production AI Systems — End-to-end AI integration, from inference optimization to deployment
• Bilingual/Localized Tech — Full-stack applications supporting multiple languages and regions
• AI Ethics & Responsibility — Practical frameworks for responsible AI development and deployment
• Technical Architecture — Scalable systems for AI-driven applications

Languages:        TypeScript • Python • JavaScript
Frontend:         React 18 • Next.js • Vite
Styling:          Tailwind CSS • CSS Variables • shadcn/ui
Routing:          React Router • Next.js Router
State & Async:    React Context • TanStack Query
UI Primitives:    Radix UI • Headless Components

APIs:             FastAPI • Express • Vercel Serverless
Databases:        PostgreSQL • Supabase
External APIs:    Gemini AI • Stripe • Cal.com • Tally.so
Authentication:   OAuth • JWT

Visualization:    Manim • D3.js Concepts
Processing:       Mathematical algorithms • Data transformation
Format Parsing:   XML/RSS • JSON • CDATA extraction

Deployment:       Docker • Vercel • Self-hosted
CI/CD:            GitHub Actions (configurable)
Code Quality:     ESLint • TypeScript strict mode
Testing:          Vitest • Unit testing setup

• Building production-ready AI inference pipelines with optimization for latency and cost
• Integrating LLM APIs (Gemini, OpenAI) into full-stack applications
• Designing multi-agent systems for complex task orchestration

• End-to-end SaaS platforms with payment processing (Stripe integration)
• Scalable React applications with server-side rendering
• API design for AI-powered features

• Custom i18n implementations for production applications
• Browser language detection with persistence
• SEO-optimized multilingual deployments

• Monolithic to microservices transitions
• Component design systems (shadcn/ui, Radix UI based)
• Real-time data handling and stream processing

Actively seeking partnerships on:

• AI Product Development — Building AI-first applications for enterprise and SMBs
• Open Source — Contributing to AI infrastructure and developer tools
• Technical Writing — Long-form content on AI ethics, architecture patterns, and best practices
• Consulting — AI strategy, system design, and responsible AI implementation

• Distributed systems and multi-agent orchestration
• Large language models (LLMs) and efficient inference
• Ethical AI governance frameworks
• Developer experience (DX) optimization
• Real-time collaborative systems