---
title: "Swathi Gudivada - AI & Data Engineer in Kolkata | Tal"
description: "Meet Swathi Gudivada, AI/ML Engineer | Production RAG & Real-Time ML Systems | LangChain · FastAPI · PyTorch · Python | Open to work based in Kolkata. AI stack includes deepseek, hugging face, and langchain. Explore public work links including github."
image: "https://tal.club/meet/swathi-gudivada/share-image"
---

# Swathi Gudivada on Tal

## Headline

AI/ML Engineer \| Production RAG & Real\-Time ML Systems \| LangChain · FastAPI · PyTorch · Python \| Open to work

## About

I build production\-grade GenAI and ML systems focused on retrieval, reasoning, and real\-time inference\. At ASU's RVCoLab, I work on multimodal AI systems combining vision, biosignals, and LLMs to drive real\-time behavior in interactive agents\. Key projects: Built a RAG hallucination detection system across 198 arXiv papers with sub\-200ms latency using semantic entropy, divergence metrics, and NLI\-based scoring\. Developed production ML pipelines for 3D\-printed metal property prediction \(92% accuracy\), deployed via FastAPI\. Trained and benchmarked deep speech recognition models across 105K samples \-\- best model achieved 96\.27% validation accuracy at 11\.4ms inference latency\. Delivered RAG systems used by 170\+ users across 1,800\+ enterprise documents at \~3s response time\. Tech: LangChain · OpenAI · PyTorch/TensorFlow · FastAPI · Pinecone · Chroma · AWS · Azure · GCP · MLflow MS in Computer Science, Arizona State University \(GPA: 3\.87, Dec 2025\)\. Actively seeking GenAI and ML Engineer roles building scalable AI systems\. If you're working on something ambitious with LLMs or real\-time AI, let's connect\.

## Location

Kolkata

## AI stack

deepseek

hugging face

langchain

langgraph

langsmith

mcp

## Work experience

AI & Data Engineer at ASU Media and Immersive eXperience \(MIX\) Center, Feb 2026 \- Present · 10 mos, Architecting a real\-time multimodal data pipeline synchronizing 4 concurrent streams \(facial capture, biometric signals, Discord logs, gameplay footage\) with frame\-accurate timestamp alignment\. Building Python middleware fusing live biosignal and facial expression data to drive adaptive behavior in an Unreal Engine 5 avatar, targeting sub\-50ms response latency\. Part of ASU's Resilient Visions Collaboratory Lab \(RVCoLab\) research on AI\-mediated emotional engagement\.

AI / Software Engineer Intern \(Applied AI\) at TechieGenz Softwares, Nov 2025 \- May 2026 · 7 mos, Built and shipped 2 production RAG deployments processing 1,800\+ enterprise documents, serving 170\+ users at \~3s end\-to\-end response latency\. Automated 2 manual document\-processing workflows using FastAPI\-based AI services, reducing review time by 65%\. Built 4 RESTful APIs for document querying, summarization, and chatbot functionality\. Improved retrieval precision for multi\-document semantic search by replacing keyword matching with vector embeddings and OpenAI APIs, validated through A/B testing\.

Grader at Ira A\. Fulton Schools of Engineering at Arizona State University, Aug 2025 \- Dec 2025 · 5 mos

Graduate Service Assistant at Ira A\. Fulton Schools of Engineering at Arizona State University, Sep 2024 \- Aug 2025 · 1 yr, Tempe, AZ, – Preprocessed 5,000\+ microscopy images using OpenCV and NumPy \(denoising, normalization, patch extraction\), achieving 25% noise reduction; structured cleaned dataset into a versioned data pipeline with MLflow experiment tracking\. – Applied CNNs and statistical feature extraction to microstructure classification models, boosting prediction accuracy by 16%; used GPT\-4 with RAG over research PDFs to surface domain\-specific augmentation strategies that improved model generalizability\. – Delivered a production\-ready Python ML pipeline \(TensorFlow, Scikit\-learn, Pandas\) achieving 92% accuracy for predicting mechanical properties of 3D\-printed metals, with a FastAPI inference endpoint for researcher access\.

Artificial Intelligence Intern at Planet E\-Com Solutions \(PECS\), May 2022 \- Jun 2022 · 2 mos, • Created an AI\-driven program aimed at facilitating student overseas travel by reducing consultation costs and streamlining university application processes, resulting in an 13% increase in efficiency\. • Applied machine learning to analyze SAT and TOEFL scores, delivering personalized English and math course recommendations from top universities, boosting student satisfaction and success\. • Developed an AI\-powered interface to guide students through international education, aiding in form completion, policy understanding, and university selection for a streamlined decision\-making process\.

Machine Learning Intern at SmartKnower, Aug 2020 \- Sep 2020 · 2 mos, • Developed machine learning algorithms for data analysis, including supervised and unsupervised learning techniques, resulting in a 10% improvement in predictive accuracy compared to previous methods\. • Collaborated with cross\-functional teams to gather requirements, conduct data preprocessing, and refine model performance, demonstrating strong communication and teamwork skills in a fast\-paced environment\. • Established a scalable data pipeline using tools such as TensorFlow and PyTorch, optimizing model training time by implementing parallel processing techniques and leveraging cloud computing resources\.

## Education

Master's degree, Computer Science, Arizona State University

Bachelor of Technology \- BTech, Artificial Intelligence, amity University

## Public links

- github: https://github\.com/swathi\-2406

[View the original profile](https://tal.club/meet/swathi-gudivada)

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Person",
      "@id": "https://tal.club/meet/swathi-gudivada#person",
      "name": "Swathi Gudivada",
      "url": "https://tal.club/meet/swathi-gudivada",
      "image": "https://tal.club/meet/swathi-gudivada/profile-photo.jpg",
      "description": "Meet Swathi Gudivada, AI/ML Engineer | Production RAG & Real-Time ML Systems | LangChain · FastAPI · PyTorch · Python | Open to work based in Kolkata. AI stack includes deepseek, hugging face, and langchain. Explore public work links including github.",
      "jobTitle": "AI & Data Engineer",
      "worksFor": {
        "@type": "Organization",
        "name": "ASU Media and Immersive eXperience (MIX) Center"
      },
      "hasOccupation": {
        "@type": "Occupation",
        "name": "AI & Data Engineer"
      },
      "homeLocation": {
        "@type": "Place",
        "name": "Kolkata"
      },
      "alumniOf": [
        {
          "@type": "EducationalOrganization",
          "name": "Arizona State University"
        },
        {
          "@type": "EducationalOrganization",
          "name": "amity University"
        }
      ],
      "knowsAbout": [
        "deepseek",
        "hugging face",
        "langchain",
        "langgraph",
        "langsmith",
        "mcp"
      ],
      "sameAs": [
        "https://github.com/swathi-2406"
      ],
      "mainEntityOfPage": {
        "@id": "https://tal.club/meet/swathi-gudivada#webpage"
      }
    },
    {
      "@type": "ProfilePage",
      "@id": "https://tal.club/meet/swathi-gudivada#webpage",
      "url": "https://tal.club/meet/swathi-gudivada",
      "name": "Swathi Gudivada on Tal",
      "description": "Meet Swathi Gudivada, AI/ML Engineer | Production RAG & Real-Time ML Systems | LangChain · FastAPI · PyTorch · Python | Open to work based in Kolkata. AI stack includes deepseek, hugging face, and langchain. Explore public work links including github.",
      "dateModified": "2026-11-10T04:20:39.730Z",
      "isPartOf": {
        "@id": "https://tal.club/#website"
      },
      "mainEntity": {
        "@id": "https://tal.club/meet/swathi-gudivada#person"
      },
      "primaryImageOfPage": {
        "@type": "ImageObject",
        "url": "https://tal.club/meet/swathi-gudivada/profile-photo.jpg",
        "contentUrl": "https://tal.club/meet/swathi-gudivada/profile-photo.jpg",
        "caption": "Swathi Gudivada profile photo on Tal"
      },
      "inLanguage": "en-IN"
    }
  ]
}
```