RAHUL NAGARAJAN

Rahul Nagarajan

Redmond, WA · Muir AI

Behind the Work

Hey there! I'm Rahul Nagarajan, an AI Engineer based in Redmond, WA, currently building agentic AI systems at Muir AI. I hold a Master's degree in Computer Science from California State Polytechnic University, Pomona (4.0 GPA) and previously worked as a Research Assistant at Cal Poly Pomona's PolySec Lab, where my research focused on using Electroencephalogram (EEG) signals for robust user authentication.

CONTACT ME

Where I've shipped

Experience

Feb 2026 – Present

AI Engineer · Muir AI

Seattle, WA

Building the pricing pipelines and BoM mass-propagation engine behind Muir's product cost and emissions platform.

  • Shipped the pricing pipeline and curated cost dataset behind Muir's production cost model, part of landing the first paying customers
  • Built the BoM mass-propagation engine that feeds every mass, cost, and emission number Muir ships
  • Productionized LLM price extraction grounded in live market data
Sept 2023 – Feb 2026

Software Engineer · Quest Global

Redmond, WA

Shipped production agentic AI for BAE Systems avionics certification, an enterprise SQL RAG assistant in Teams, and a Salesforce–Kenandy ERP integration.

Aviation Software Analysis (BAE Systems)
  • LangGraph agents extracting requirements from 500K+ lines of legacy avionics code at 92% accuracy
  • Human approval gates at every stage for DO-178C certification
  • Cut requirements cycle time from 8 weeks to 2.8 per module
Enterprise SQL RAG Assistant (Internal)
  • Graph RAG (Neo4j) plus Pinecone search: 89% accuracy over a 500+ table warehouse
  • 8K+ queries a week in Teams at 1.8s P95 and 94% user satisfaction
  • Redis semantic cache cut redundant LLM calls 73%, saving $4,200 a month
Salesforce–Kenandy ERP Integration (3Sigma)
  • FastAPI ETL syncing 15K+ accounts and 350K+ records daily between CRM and ERP
  • Replaced Zapier Enterprise and MuleSoft, saving $78K a year

What I build with

Technical Skills

Agentic AI
LangGraph LangChain CrewAI AutoGen Multi-Agent Orchestration Tool Calling Human-in-the-Loop
RAG & Retrieval
Agentic RAG Graph RAG (Neo4j) Pinecone / FAISS / ChromaDB Hybrid Search Reranking Semantic Caching
Evals & Fine-Tuning
Evals (LangSmith) Fine-tuning (LoRA) RLHF Prompt Engineering
Cloud & Infra
AWS (Bedrock, Lambda, SageMaker) Azure Docker Kubernetes Temporal FastAPI
Languages & Data
Python TypeScript SQL PostgreSQL Redis Neo4j

3

Years Experience

0

Gen AI Experience Days

128400

Dollars Saved Annually

8000

Weekly Queries Served

Selected work

Portfolio

  • Research · IJRTE

    American Sign Language Interpretation

    Computer-vision pipeline that deciphers ASL gestures and translates them into English words and full sentences for hearing-impaired accessibility.

    Image Processing Deep Learning
  • Research · IEEE

    EEG Signals as a Biometric Authenticator

    Study of brainwave-based authentication: feature-extraction techniques and ML classifiers that merge login and identity validation into a single step.

    EEG Machine Learning Security
  • Project

    Python Job Scheduler

    Dynamic job-scheduling engine built on a binary search tree, supporting on-the-fly insertion and priority reordering.

    Python Data Structures
  • Project

    DOTA 2 Hero Recommender

    Hero-pick recommendation engine combining Apriori association mining with a multi-layer perceptron trained on match data.

    Python Apriori Neural Networks
  • Project

    EEG User Authentication

    Master's project authenticating users from EEG brainwave signals, benchmarking feature-extraction methods against multiple ML classifiers.

    Python Signal Processing
  • Project

    Job Application Tracker

    Full-stack web app for tracking job applications end-to-end, deployed live with a Flask backend and SQL persistence.

    Flask Python SQL
  • Certification

    Azure AI Engineer Associate

    Designing, implementing, and managing AI solutions on Azure. Earned September 2024.

    AI-102 Microsoft
  • Certification

    AWS Certified Developer – Associate

    Developing, deploying, and debugging cloud applications on AWS. Earned June 2024.

    DVA-C02 AWS
  • Certification

    AWS Certified Cloud Practitioner

    Foundational AWS cloud concepts, services, and security. Earned January 2024.

    CLF-C02 AWS