UI Architecture
Designs maintainable frontend systems with reusable components, state boundaries, and scalable routing patterns.
Current
Sr. AI Fullstack Engineer + Tech Lead — React + Python (FastAPI)
Sr. AI Fullstack Engineer & Tech Lead | React · Python · FastAPI · GenAI · RAG · LLMs
Senior AI Fullstack Engineer and Tech Lead with 12+ years of experience building AI-powered React applications backed by Python FastAPI services. Experienced delivering production GenAI features — including RAG pipelines, LLM-powered chat and search UIs, agentic workflows, and AI-enhanced product experiences. Combines modern React frontend architecture with deep Python AI backend engineering to ship AI features that are reliable, responsive, and genuinely useful in production. Ajay leads React + Python AI product teams, bridging the gap between AI engineering and product delivery. He architects the React layer that makes AI features usable and the FastAPI backend that makes them reliable — designing prompt pipelines, RAG retrieval strategies, vector search integrations, and streaming APIs that give React UIs real-time AI responsiveness. An AI-focused Fullstack Tech Lead profile combining React product engineering with Python FastAPI and GenAI backend systems, designed for senior roles in AI product and platform teams.
Best fit
Sr. AI Fullstack Engineer, Tech Lead — React, Python, FastAPI, GenAI product teams
React
Python
FastAPI
GenAI
RAG
LLM Integration
AI Fullstack
Tech Lead
LangChain
Next.js
Agentic AI
React AI Product UIs (Chat, Search, Streaming, Dashboards)
Python FastAPI Async APIs & Microservices
GenAI Integration (OpenAI, Anthropic, LangChain)
RAG Pipelines, Vector Search & Embeddings
Agentic Workflow Design (LangGraph, CrewAI)
Core competencies
How this profile should be understood
Scalable Backend Systems
Builds modular services, background workflows, and integration layers that stay reliable as product and traffic complexity grow.
System Design & Architecture
Translates product and platform goals into service boundaries, deployment patterns, and maintainable technical direction.
Cloud & DevOps Delivery
Improves release reliability through containerized delivery, deployment automation, and production-ready cloud operating patterns.
AI Integration & Automation
Integrates LLM, retrieval, and agentic workflows into production systems with guardrails, observability, and real business use cases.
Performance & Event Processing
Uses caching and asynchronous messaging to improve throughput, reduce latency, and isolate failures in production workflows.
Technology groups
ATS-friendly skill grouping
Frontend
React, Next.js, TypeScript, Redux Toolkit, Zustand, React Query
Backend
Python, FastAPI, Go
Architecture
Microservices
APIs
Redis
DevOps
AWS, Docker, Kubernetes, CI/CD, GitHub Actions
AI / Automation
OpenAI APIs, Anthropic APIs, LangChain, LangGraph, RAG, Vector Search
Selected emphasis
Projects, keywords, and positioning
Strongest projects
Agentic Business Operating System (BizXOS / BizlyUp), AliveCV / GenAIxperts, InteraDoc, ScanQuizzy, Enterprise SaaS Platform (Multi-Tenant)
Key expertise
React AI Product UIs (Chat, Search, Streaming, Dashboards), Python FastAPI Async APIs & Microservices, GenAI Integration (OpenAI, Anthropic, LangChain), RAG Pipelines, Vector Search & Embeddings, Agentic Workflow Design (LangGraph, CrewAI), Streaming APIs & Server-Sent Events (SSE), Prompt Engineering & LLM Output Design, Vector Databases (Pinecone, pgvector, Weaviate), React State Management (Redux Toolkit, Zustand), Tech Lead & AI Team Mentoring
Profile positioning
An AI-focused Fullstack Tech Lead profile combining React product engineering with Python FastAPI and GenAI backend systems, designed for senior roles in AI product and platform teams.