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Shanmukha Chatadi

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Raleigh, NC · Open to Relocation · MS CS @ NC State · Currently at MiHIN

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About

Applied AI/ML Engineer building agentic AI systems, production LLM pipelines, and scalable cloud deployments. Architected enterprise RAG platform serving 230+ users at 75% lower cost; shipped multi-agent LangGraph research assistant with corrective RAG and hallucination detection. Published researcher (Springer, IEEE) in deep learning, NLP, and computer vision.

0+Years Experience
0+Projects Shipped
0Publications
0+Users Served
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Experience

MiHIN

AI Research Intern

Lansing, MI
Jul 2025 - Present

  • Architected production Document AI/RAG platform on AWS Bedrock, OpenSearch Serverless (k-NN vector search), and Lambda, enabling 230+ employees to query 1T+ documents via natural language at 75% less than competitors.
  • Engineered NLP ingestion pipeline with document parsing, Titan V2 embedding generation (1,024-dim), configurable chunking, vector indexing, and retrieval; incorporated human-in-the-loop (HITL) feedback to tune chunk size, overlap, and top-k parameters, reducing LLM hallucination rates by 30%.
  • Developed AI governance framework aligned with HITRUST CSF, NIST, HIPAA; spearheaded AI Task Force training across DevOps, Legal, and HR, authoring playbooks that enabled 5+ cross-functional teams to integrate generative AI into production workflows.
  • Delivered serverless REST API with API Gateway, Lambda, Cognito (SSO + 2FA) supporting 230+ users; presented cost analysis to CEO, securing approval for org-wide pilot cutting costs by 75%.
  • Reduced mean time to detection by 60% through CloudWatch dashboards, structured logging, and custom alarms for real-time monitoring; implemented error handling and retry logic across Lambda functions with dead letter routing for fault tolerance.
AWS BedrockRAGOpenSearchLambdaPythonCognitoNLPHITL

Rygen BioPharma

Data & Software Development Analyst

Hyderabad, India
Mar 2023 - Aug 2024

TreoSoft IT Solutions

Data Science Intern

Bengaluru, India
Jun 2022 - Sep 2022

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Projects

01

ScholarAgent

Multi-Agent Research Assistant

Multi-agent research assistant with a 7-node LangGraph pipeline featuring corrective RAG, query rewriting, and hallucination detection.

  • Orchestrated multi-agent research assistant with 7-node LangGraph pipeline (router, retriever, grader, rewriter, generat...
  • Integrated ChromaDB vector search with HuggingFace sentence-transformer embeddings indexing 10K+ arXiv/PubMed papers; co...
LangGraphChromaDBGemini APIFastAPINext.js 14TypeScript
Jan 2025 - Mar 2025Source
02

MCP Healthcare Server

Model Context Protocol Server

MCP server exposing 6 healthcare tools via FastMCP, integrated with 4 federal APIs for drug safety, clinical trials, ICD-10 lookup, and more.

  • Launched Model Context Protocol server exposing 6 healthcare tools (drug safety, clinical trials, ICD-10 lookup, medical...
PythonFastMCPhttpxopenFDAPubMedNLM
Feb 2025 - Mar 2025Source
03

LinkVault

Go REST API Platform

Go REST API platform with JWT and API-key authentication, Redis-backed rate limiting, and PostgreSQL full-text search.

  • Engineered Go REST API platform with JWT and API-key authentication, Redis-backed rate limiting, and PostgreSQL full-tex...
GoChi v5PostgreSQLRedisJWTDocker
Mar 2025Source
04

Distributed Task Queue

Go + gRPC + Kubernetes

Distributed task queue in Go with gRPC/Protobuf service interfaces, Redis-backed priority queue, and Kubernetes deployment with autoscaling.

  • Built distributed task queue in Go with gRPC/Protobuf service interfaces, Redis-backed priority queue (sorted sets), and...
  • Deployed on Kubernetes with Helm charts and horizontal pod autoscaling on custom Prometheus metrics (queue depth); instr...
GogRPCProtobufRedisPostgreSQLDocker
Feb 2025 - Mar 2025Source
05

Neural Network Training Dynamics & Pruning

PyTorch Research Project

Research into CNN vs. Transformer representation learning via UMAP/t-SNE and CKA similarity, with L1 unstructured pruning analysis.

  • Trained ResNet-18 and ViT-Tiny on CIFAR-100 using transfer learning; analyzed CNN vs. Transformer representation learnin...
PyTorchResNet-18ViT-TinyCIFAR-100UMAPt-SNE
Jan 2026 - Present
06

LLM-Driven Procedural Content Generation

LLMs4PCG - AAAI 2026

Applied open-source LLMs to procedural game-level generation with constraint satisfaction and ViT-based validation.

  • Applied latest open-source LLMs (Phi-3, Gemma-2, Qwen-2.5) to procedural game-level generation; designed prompt compilat...
PythonPhi-3Gemma-2Qwen-2.5Prompt EngineeringViT
2025
07

AI ChatBot

Multi-Provider LLM Service

Multi-provider generative AI web service with FastAPI backend and LangChain orchestration, featuring provider failover for high availability.

  • Deployed multi-provider generative AI web service with FastAPI backend and LangChain orchestration; implemented async AP...
PythonFastAPILangChainDockerNode.jsGroq
Jan 2025 - Apr 2025Source
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Skills

AI / Machine Learning
RAGAgentic AILLMsNLPMulti-Agent SystemsMCPDeep LearningCNNsTransformersComputer VisionTransfer LearningFine-tuningMLOpsHITLRAGAgentic AILLMsNLPMulti-Agent SystemsMCPDeep LearningCNNsTransformersComputer VisionTransfer LearningFine-tuningMLOpsHITL
Languages
PythonTypeScriptJavaScriptGoSQLC++JavaBashHTML/CSSPythonTypeScriptJavaScriptGoSQLC++JavaBashHTML/CSS
Cloud & DevOps
AWS BedrockLambdaAPI GatewayCognitoDockerKubernetesGitHub ActionsCI/CDJenkinsAWS BedrockLambdaAPI GatewayCognitoDockerKubernetesGitHub ActionsCI/CDJenkins
Web & Frameworks
Next.jsReactFastAPIFlaskNode.jsExpress.jsREST APIsGraphQLTailwind CSSChi v5gRPCNext.jsReactFastAPIFlaskNode.jsExpress.jsREST APIsGraphQLTailwind CSSChi v5gRPC
Databases
PostgreSQLMongoDBRedisOpenSearchChromaDBVector DatabasesMySQLPostgreSQLMongoDBRedisOpenSearchChromaDBVector DatabasesMySQL
Libraries & Tools
LangGraphLangChainPyTorchTensorFlowscikit-learnPandasNumPyHugging FaceXGBoostspaCyFastMCPHelmPrometheusGrafanaLangGraphLangChainPyTorchTensorFlowscikit-learnPandasNumPyHugging FaceXGBoostspaCyFastMCPHelmPrometheusGrafana
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Publications

Potato Disease Classification Using Diverse Feature Extraction Methods and Machine Learning Models

C. Shanmukha Srinivas Sai et al.

HIS 2023 (Hybrid Intelligent Systems), 2023

SpringerPublished

Tea Leaf Disease Classification with Ensemble Stacking

Somesh K, C. Shanmukha Srinivas Sai et al.

ICDLAIR 2024 (International Conference on Deep Learning, Artificial Intelligence and Robotics), 2024

IEEEPublished
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Education

North Carolina State University

MS Computer Science (Data Science Track)

GPA: 3.71 | Aug 2024 - Jun 2026

Deep LearningMachine LearningNeural NetworksAlgorithmsSoftware EngineeringDatabase Management Systems

National Institute of Technology Puducherry

BTech Computer Science & Engineering

GPA: 8.48/10 | Dec 2020 - Mar 2024

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Leadership & Achievements

President

Rotaract Club, NIT Puducherry

2022 - 2023

Organized 10+ community service events including blood donation camps and social awareness campaigns.

Vice-President

ACE (CS Association), NIT Puducherry

2022 - 2023

Led workshops, hackathons, and industry talks for the computer science student body.

Co-founder

Zer01Coded, NIT Puducherry

2021 - 2022

Founded coding club and conducted Python programming classes for 150+ students.

Achievements

First Position, Blind Coding Challenge, Gyanith Tech Fest, NIT Puducherry(2023)
Third Prize, Hackathon, NIE Mysore (~90 competitors)(2023)
All India Rank 206, Inter NIT Coding Marathon, MNIT Bhopal(2022)
99.1 Percentile, JEE-Mains (top 1% of 1M+ students)(2020)
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Beyond the Code

Basketball

Click to flip

Played competitively and won tournaments in college.

Astronomy

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Love stargazing and keeping up with space exploration missions.

Cyberpunk 2077

Click to flip

A game that keeps pulling me back into Night City.

Origami

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Folding paper into intricate designs is surprisingly meditative.

Weightlifting

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Consistent gym-goer focused on strength training.

Teaching

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Taught Python to 150+ students through Zer01Coded club.

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Contact

terminal
shanmukha@portfolio ~ $ cat contact.json

{

"email": "schatad@ncsu.edu",

"linkedin": "linkedin.com/in/shanmukha-chatadi",

"github": "github.com/shinegami-2002",

"location": "Raleigh, NC (Open to Relocation)",

"status": "Open to opportunities"

}