Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

AI/ML Engineer with 8+ years of experience and 3+ years building Generative AI, LLM, RAG, and agentic AI solutions. I design and deploy enterprise-grade GenAI applications using GPT-4o/Azure OpenAI, LangChain/LangGraph, CrewAI/AutoGen, and LlamaIndex, with strong focus on retrieval, orchestration, and production reliability. I build scalable data pipelines and MLOps/LLMOps workflows (MLflow, LangSmith, RAGAS, DeepEval, CI/CD), deliver secure REST integrations across enterprise systems, and develop governance with prompt injection protection, PII redaction, and responsible AI guardrails.…AI/ML Engineer with 8+ years of experience and 3+ years building Generative AI, LLM, RAG, and agentic AI solutions. I design and deploy enterprise-grade GenAI applications using GPT-4o/Azure OpenAI, LangChain/LangGraph, CrewAI/AutoGen, and LlamaIndex, with strong focus on retrieval, orchestration, and production reliability. I build scalable data pipelines and MLOps/LLMOps workflows (MLflow, LangSmith, RAGAS, DeepEval, CI/CD), deliver secure REST integrations across enterprise systems, and develop governance with prompt injection protection, PII redaction, and responsible AI guardrails.

Venkatesh Bathula

AI Engineer, Data Scientist, Software Engineer, +2





AI/ML Engineer with 8+ years of experience and 3+ years building Generative AI, LLM, RAG, and agentic AI solutions. I design and deploy enterprise-grade GenAI applications using GPT-4o/Azure OpenAI, LangChain/LangGraph, CrewAI/AutoGen, and LlamaIndex, with strong focus on retrieval, orchestration, and production reliability. I build scalable data pipelines and MLOps/LLMOps workflows (MLflow, LangSmith, RAGAS, DeepEval, CI/CD), deliver secure REST integrations across enterprise systems, and develop governance with prompt injection protection, PII redaction, and responsible AI guardrails.…AI/ML Engineer with 8+ years of experience and 3+ years building Generative AI, LLM, RAG, and agentic AI solutions. I design and deploy enterprise-grade GenAI applications using GPT-4o/Azure OpenAI, LangChain/LangGraph, CrewAI/AutoGen, and LlamaIndex, with strong focus on retrieval, orchestration, and production reliability. I build scalable data pipelines and MLOps/LLMOps workflows (MLflow, LangSmith, RAGAS, DeepEval, CI/CD), deliver secure REST integrations across enterprise systems, and develop governance with prompt injection protection, PII redaction, and responsible AI guardrails.

Available to hire

AI/ML Engineer with 8+ years of experience and 3+ years building Generative AI, LLM, RAG, and agentic AI solutions. I design and deploy enterprise-grade GenAI applications using GPT-4o/Azure OpenAI, LangChain/LangGraph, CrewAI/AutoGen, and LlamaIndex, with strong focus on retrieval, orchestration, and production reliability.

I build scalable data pipelines and MLOps/LLMOps workflows (MLflow, LangSmith, RAGAS, DeepEval, CI/CD), deliver secure REST integrations across enterprise systems, and develop governance with prompt injection protection, PII redaction, and responsible AI guardrails.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Afar

Advanced

Work Experience

GEN AI ENGINEER at T Mobile, USA

December 1, 2024 - Present

Led end-to-end deployment of enterprise AI solutions across customer environments, supporting onboarding and production rollout. Designed secure REST API integrations between AI platforms and enterprise systems (CRM, ticketing, authentication, knowledge management). Configured and deployed LLM-based AI agents using Azure OpenAI, LangGraph, and CrewAI to automate customer support and operational workflows. Built enterprise architectures combining LLMs, RAG pipelines, vector databases, and REST APIs for secure production deployments. Implemented multi-agent orchestration for autonomous execution of complex telecommunications workflows. Developed retrieval systems with Pinecone and hybrid/semantic search, improving contextual accuracy. Created LLM evaluation and monitoring workflows (DeepEval, LangFuse, RAGAS) to reduce hallucinations and improve quality. Automated deployments using CI/CD, Terraform, Docker, and Kubernetes; troubleshot API/auth/vector database integration issues and suppo

AI/ML Engineer at AIG, USA

January 1, 2023 - November 30, 2024

Implemented production-ready AI services for underwriting and document intelligence use cases. Built REST API integrations connecting Azure OpenAI services with document repositories and enterprise data platforms. Collaborated with stakeholders to define requirements and deliver deployable solutions. Integrated AI workflows with Snowflake and Azure SQL for real-time document processing and analytics. Supported end-to-end rollout activities including validation, deployment testing, user acceptance support, and production monitoring. Investigated and resolved inference and integration issues within SLA timelines. Provided technical consulting, troubleshooting guidance, and training/documentation to support customer adoption. Optimized solutions based on feedback, improving response quality and workflow efficiency.

DATA SCIENTIST at OPTUM, USA

October 1, 2020 - August 31, 2022

Developed healthcare risk prediction and analytics models using Python and TensorFlow, improving patient outcome forecasting accuracy by 32%. Built scalable data engineering pipelines using PySpark and Databricks for millions of healthcare records. Designed enterprise reporting with Power BI and Azure SQL. Implemented customer segmentation with K-Means clustering for targeted care management. Built NLP solutions using BERT for clinical documentation analytics. Automated deployment processes using Azure ML and MLOps to improve governance and reduce release cycles. Developed time-series forecasting frameworks (Prophet) for demand/resource planning. Engineered real-time data integration using Apache Kafka and Spark Streaming. Applied statistical modeling in R for readmission factor analysis and built fraud/anomaly detection using XGBoost to reduce losses from fraudulent claims. Optimized cloud analytics using Azure Data Factory and Data Lake Storage Gen2 and delivered data science solutio

DATA SCIENTIST at ACCENTURE

July 1, 2018 - September 30, 2020

Built predictive analytics models using Python and scikit-learn, improving customer retention forecasting accuracy by 25%. Implemented large-scale data processing pipelines with PySpark and Apache Hadoop. Created executive dashboards using Tableau and SQL. Delivered classification solutions with Random Forest and XGBoost to improve fraud detection precision while reducing false positives. Conducted statistical analysis in R and performed hypothesis testing to identify significant trends. Built NLP applications with NLTK/text mining to extract insights from unstructured feedback. Automated model deployment workflows using Docker and Jenkins for consistent release management. Developed time-series forecasting (ARIMA) for demand planning and optimized analytics with AWS S3 and Amazon SageMaker for scalable training and operations.