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ASHEESH RANJAN SRIVASTAVA · AI ENGINEER

Building practical AI systems from complexity to clarity.

I design and build LLM applications, retrieval-augmented generation systems, AI agents, and automation workflows—with product judgment, transparent engineering decisions, and real user problems at the center.

Open to AI Engineer opportunities · Lucknow, India · Remote, hybrid, or on-site

Portrait of Asheesh Ranjan Srivastava, AI Engineer

4 years

Total professional experience

400+

Professionals trained through nonprofit education programs

5 states

Nonprofit education programs supported across India

WHAT I BUILD

AI engineering grounded in useful outcomes

LLM products

Interfaces and workflows that turn model capabilities into focused, understandable tools.

RAG & evaluation

Retrieval pipelines, knowledge grounding, citations, quality gates, and evaluation thinking.

Agents & automation

Tool-using workflows that combine APIs, orchestration, guardrails, and human review.

FEATURED WORK

QUEST & CROSSFIRE CURRICULUM STUDIO · PAUSED

A multi-agent curriculum generation system

A five-agent pipeline for research, synthesis, structure, compilation, and narrative enrichment—supported by adaptive teaching modes, RAG, automated quality gates, and a production-oriented Python stack.

Stack: FastAPI, LangGraph, LangChain, Streamlit, PostgreSQL, pgvector, OpenAI, Tavily, LangSmith

PROJECT VISUAL TO BE ADDED

QUEST & CROSSFIRE

Engineering practice shaped by systems thinking

Quest & Crossfire is where I document the process behind the work: breaking complex problems into smaller systems, learning in public, and making engineering decisions visible. AI Engineering is the professional focus; personal knowledge management and systems thinking provide the method.

Learning Hub

Structured guides for AI, PKM, and practical learning systems.

Explore the Learning Hub →

Blog

Build notes, technical reflections, and lessons from active projects.

Read the Blog →

Tools & Templates

Reusable checklists, worksheets, and starter structures for AI and PKM.

Explore Tools & Templates →

Looking for an AI Engineer who can connect systems and outcomes?

I’m open to conversations about AI engineering roles, learning technology, LLM applications, RAG, agents, and automation.

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