---
title: "Sowmya Laveti - AI/ML Engineer in Cleveland | Tal"
description: "Meet Sowmya Laveti, AI/ML Engineer based in Cleveland."
image: "https://tal.club/meet/sowmya-laveti/share-image"
---

# Sowmya Laveti on Tal

## Headline

AI/ML Engineer

## About

Senior AI/ML Engineer with 6\+ years of experience specializing in production\-grade Machine Learning Systems, Gen\- erative AI, Agentic AI, and distributed ML infrastructure\. Proven experience architecting end\-to\-end AI pipelines including Retrieval\-Augmented Generation \(RAG\), LLM fine\-tuning \(LoRA/PEFT\), agent\-based workflows, real\- time inference systems, and scalable cloud\-native deployments\. Strong expertise in MLOps, feature engineering, distributed data systems, model governance, and latency optimization\. Demonstrated impact including 30% im\- provement in anomaly detection precision, 35% reduction in inference latency, and 25% increase in predictive accu\- racy across enterprise environments\. Experienced in AWS, Kubernetes, Spark, PyTorch, TensorFlow, vector search systems, and multi\-agent orchestration frameworks\. Passionate about designing reliable, scalable, and cost\-efficient AI platforms aligned with business strategy\.

## Location

Cleveland

## Work experience

AI/ML Engineer at Lucid Motors, Aug 2025 \- Present · 10 mos, Newark, California, United States, Architecting enterprise Generative AI systems integrating Retrieval\-Augmented Generation \(RAG\) pipelines for internal knowledge and diagnostics platforms\. • Designing embedding pipelines using transformer\-based models and implementing FAISS vector indexing for se\- mantic retrieval\. • Implementing hybrid search \(BM25 \+ dense embeddings\) improving contextual relevance and retrieval accuracy\. • Applying LoRA/PEFT\-based fine\-tuning techniques optimizing LLM training efficiency and reducing compute cost by 60%\. • Deploying scalable LLM inference services on Kubernetes enabling real\-time inference with sub\-150ms latency\.

Machine Learning Engineer at Citadel, May 2024 \- Jul 2025 · 1 yr 3 mos, Chicago, Illinois, United States, Developed predictive maintenance models using LSTM architectures for large\-scale IoT telemetry datasets\. • Built time\-series forecasting pipelines improving anomaly detection precision by 30%\. • Implemented transformer\-based NLP models for log analysis and diagnostic intelligence\. • Performed feature engineering and preprocessing for high\-dimensional sensor datasets\. • Applied hyperparameter tuning and cross\-validation improving model accuracy and robustness\. • Deployed ML models using AWS SageMaker with CI/CD automation workflows\. • Containerized ML services using Docker and orchestrated deployments via Kubernetes\. • Integrated MLflow for experiment tracking, model versioning, and reproducibility\. • Monitored model performance and implemented automated retraining pipelines\.

Data Engineer at Aurobindo Pharma USA, Inc\., May 2021 \- Jul 2023 · 2 yrs 3 mos, Hyderabad, Telangana, India, • Designed scalable ETL pipelines processing multi\-terabyte structured and semi\-structured datasets\. • Built distributed data processing workflows using Apache Spark for batch analytics\. • Implemented data transformation pipelines enabling ML\-ready datasets for downstream modeling\. • Optimized SQL queries improving reporting performance by 40%\. • Developed data warehousing solutions using PostgreSQL for analytics systems\. • Implemented data validation frameworks ensuring 99\.9% pipeline reliability\. • Collaborated with analytics teams in preparing feature\-engineered datasets for predictive models\. • Automated data ingestion workflows improving processing efficiency\. • Managed end\-to\-end data pipelines ensuring consistency across multiple data sources

Software Engineer at Yashoda Hospitals, Aug 2018 \- Apr 2021 · 2 yrs 9 mos, Hyderabad, Telangana, India, • Developed backend systems and REST APIssupporting healthcare analytics applications\. • Designed SQL\-based reporting dashboards improving operational visibility\. • Implemented data processing workflows for structured healthcare datasets\. • Optimized database queries improving system performance and response time\. • Automated reporting pipelines reducing manual effort by 30%\. • Collaborated with cross\-functional teams delivering scalable software solutions\.

## Education

Master's degree, Computer Science, Cleveland State University

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

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Person",
      "@id": "https://tal.club/meet/sowmya-laveti#person",
      "name": "Sowmya Laveti",
      "url": "https://tal.club/meet/sowmya-laveti",
      "description": "Meet Sowmya Laveti, AI/ML Engineer based in Cleveland.",
      "jobTitle": "AI/ML Engineer",
      "worksFor": {
        "@type": "Organization",
        "name": "Lucid Motors"
      },
      "hasOccupation": {
        "@type": "Occupation",
        "name": "AI/ML Engineer"
      },
      "homeLocation": {
        "@type": "Place",
        "name": "Cleveland"
      },
      "alumniOf": [
        {
          "@type": "EducationalOrganization",
          "name": "Cleveland State University"
        }
      ],
      "mainEntityOfPage": {
        "@id": "https://tal.club/meet/sowmya-laveti#webpage"
      }
    },
    {
      "@type": "ProfilePage",
      "@id": "https://tal.club/meet/sowmya-laveti#webpage",
      "url": "https://tal.club/meet/sowmya-laveti",
      "name": "Sowmya Laveti on Tal",
      "description": "Meet Sowmya Laveti, AI/ML Engineer based in Cleveland.",
      "dateModified": "2026-06-10T13:55:53.528Z",
      "isPartOf": {
        "@id": "https://tal.club/#website"
      },
      "mainEntity": {
        "@id": "https://tal.club/meet/sowmya-laveti#person"
      },
      "inLanguage": "en-IN"
    }
  ]
}
```