Engineering intelligent systems.
Atul Mishra — AI Engineer & Full-Stack Developer & BS Data Science Scholar at IIT Madras. Building multi-agent LangGraph runtimes, hybrid RAG memory engines, and production web platforms.
The Candidate Profile
Autonomous multi-agent systems, RAG memory engines, and full-stack web architectures built with precision.
Core Capabilities & Tech Stack
Deep expertise across modern AI frameworks, full-stack web development, and cloud deployments.
Production systems built with rigor & architectural precision.
Explore live state graphs, async task queues, neural network architectures, and automated CLI tools built by Atul Mishra.
LLM Quiz Solver
An autonomous agent pipeline using LangGraph and GPT-4 that solves complex data science and technical quiz benchmarks with topological multi-step reasoning.
from langgraph.graph import StateGraph, END
def perception_node(state):
# Extract query intent & vector embeddings
return {"context": retrieve_hybrid_context(state["query"])}
def reasoning_node(state):
# Topological GPT-4 multi-agent step
result = evaluate_agent_dag(state["context"])
return {"solution": result, "accuracy": 0.982}Empirical benchmarks & engineering performance.
Every system built by Atul Mishra is evaluated against rigorous multi-agent accuracy suites, sub-200ms API latency targets, and computer vision F1 benchmarks.
Multi-agent perception & reasoning pipelines evaluated on complex data science benchmarks.
Sub-200ms API response time & fast async queue processing powered by Celery + Redis.
Academic rigor at IIT Madras meets real-world execution.
Combining theoretical machine learning foundations with hands-on multi-agent engineering and production software deployment.
IIT Madras BS Data Science
Comprehensive coursework in Machine Learning, Statistical Inference, Database Systems, Computer Vision, and Software Engineering.
Organised Code Crafters
Organised and led the Code Crafters hackathon, mentoring student teams on building real-world AI applications and system architectures.
120+ LeetCode Solved
Active problem solver focusing on graph traversal, dynamic programming, queue management, and tree search optimization.
BS Data Science @ IIT Madras ('27)
Specializing in Data Science & Applications with a 7.6 CGPA. Core focus on mathematical modeling, machine learning pipelines, and software engineering principles.
4 Production Applications Deployed
Live systems deployed on Render, HuggingFace, and Vercel—spanning LangGraph multi-agent solvers, async Flask/Vue platforms, and PyTorch vision models.
The fine print, in plain English.
Everything technical recruiters and engineering directors need to know before extending an internship offer.
Atul is actively seeking Summer and Winter 2026 Internships in AI/ML Engineering, Autonomous Agents, Full-Stack Development, Data Science, and DevOps/Cloud infrastructure.