45-minute video call - For AIML Hero

Anish Arya

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45-minute video call - For AIML Hero
profile
799
45 mins

Ready to Build, Learn, and Grow with AI?

Hi, I'm Anish Arya, an AI Engineer specializing in Advanced Python, API Development, Generative AI, Agentic AI systems, Retrieval-Augmented Generation (RAG), LLMs, and production-ready AI applications. I help developers, students, and professionals understand not just what to build, but how to build scalable, real-world AI systems.

Whether you're looking to:

  • Master Advanced Python for production-quality software development
  • Build robust REST APIs using FastAPI and modern Python best practices
  • Learn Generative AI or Agentic AI from the ground up
  • Build RAG pipelines using LangChain or LangGraph
  • Understand MCP (Model Context Protocol) and AI agent architectures
  • Deploy LLM applications to production using modern deployment practices
  • Implement model observability, tracing, evaluation, and monitoring
  • Prepare for Software Engineer or AI Engineer interviews
  • Design scalable, production-grade AI applications
  • Review your codebase, AI project, or system architecture
  • Solve technical challenges in your current project

This 45-minute 1-on-1 session is tailored specifically to your goals. We'll focus on practical solutions, industry best practices, and actionable next steps that you can immediately apply.

Why Connect with Me?

Expertise

  • Advanced Python, software engineering principles, and clean architecture
  • REST API development with FastAPI and modern backend design
  • Generative AI, Agentic AI, RAG, LangChain, LangGraph, MCP, and LLM application development
  • LLM deployment, inference optimization, and scalable serving with vLLM
  • Model observability, tracing, evaluation, monitoring, and AI application reliability
  • Production workflows with MLOps, governance, and responsible AI practices

Industry Perspective

I have hands-on experience designing and delivering enterprise-grade AI solutions, helping teams move from proof of concept to production through scalable architectures, API design, deployment pipelines, observability, and governance.

Personalized Mentorship

Whether you're a student, software engineer, backend developer, or AI practitioner, every session is customized to your experience level, learning goals, and technical challenges.

Practical Learning

Expect architecture discussions, live problem-solving, code reviews, deployment strategies, debugging techniques, and real-world implementation guidance—not just theory.

If you're serious about becoming a better Python developer, backend engineer, or AI engineer, I'd love to help.

Book your session today, and let's build production-ready software and AI systems together.