AJAY PRAJAPAT

AI Mentor & Technical Coach | GenAI · System Design · Fullstack Engineering · Team Enablement

ajayprajapat@live.com+91-87699-62237linkedin.com/in/ajayprajapatUdaipur, India

Professional Summary

AI Mentor and Technical Coach with 12+ years of hands-on software engineering experience and a track record of helping engineers, teams, and leaders build practical AI skills, system design judgment, and fullstack delivery confidence. Delivers workshops, one-on-one coaching, architecture reviews, and curriculum-driven training programs on GenAI (RAG, LLMs, agents), system design, Angular/React/Vue frontend architecture, Node.js/Python backend engineering, and engineering leadership practices. Ajay combines deep technical delivery experience with a clear teaching style that makes complex AI systems, architecture patterns, and engineering practices accessible and actionable. He mentors individual engineers on career growth and technical depth, coaches teams through AI adoption and architecture transformation, and designs training curricula that build lasting capability — not just awareness. An AI Mentor and Technical Coach profile combining deep GenAI and fullstack engineering knowledge with practical teaching experience — designed for mentoring, workshop, and team enablement engagements. Help engineers and teams go from AI awareness to AI delivery — building practical skills in GenAI systems, system design, and fullstack engineering through coaching that is grounded in real production experience.

Core Competencies

UI Architecture

Designs maintainable frontend systems with reusable components, state boundaries, and scalable routing patterns.

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.

Technical Leadership

Raises delivery quality through architecture guidance, standards, mentoring, and practical decision-making across teams.

Technology Stack

Frontend

Angular, React, Next.js, Vue, Nuxt, TypeScript

Backend

Node.js, NestJS, Python, FastAPI, Go

Architecture

System Design

APIs

Not a primary emphasis for this profile

DevOps

AWS, Docker, Kubernetes, CI/CD

AI / Automation

OpenAI APIs, Anthropic APIs, LangChain, LangGraph, RAG, Prompt Engineering

Selected Highlights