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I am a Generative AI Engineer / AI-ML Engineer with 9+ years of experience designing, developing, deploying, and supporting enterprise-grade Generative AI applications, Retrieval-Augmented Generation pipelines, NLP solutions, and cloud-native AI services across financial services, healthcare, insurance, energy, and enterprise technology domains. I specialize in building LLM-powered knowledge assistants, RAG architectures, agentic workflows, MCP-style tool integrations, and AI-enabled process automation. I collaborate with cross-functional teams to translate business requirements into scalable AI solutions and uphold governance, security, and compliance in regulated industries.…I am a Generative AI Engineer / AI-ML Engineer with 9+ years of experience designing, developing, deploying, and supporting enterprise-grade Generative AI applications, Retrieval-Augmented Generation pipelines, NLP solutions, and cloud-native AI services across financial services, healthcare, insurance, energy, and enterprise technology domains. I specialize in building LLM-powered knowledge assistants, RAG architectures, agentic workflows, MCP-style tool integrations, and AI-enabled process automation. I collaborate with cross-functional teams to translate business requirements into scalable AI solutions and uphold governance, security, and compliance in regulated industries.

Hemanth Kumar Pendyala

Data Scientist, AI Engineer, Full Stack Developer, +2

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I am a Generative AI Engineer / AI-ML Engineer with 9+ years of experience designing, developing, deploying, and supporting enterprise-grade Generative AI applications, Retrieval-Augmented Generation pipelines, NLP solutions, and cloud-native AI services across financial services, healthcare, insurance, energy, and enterprise technology domains. I specialize in building LLM-powered knowledge assistants, RAG architectures, agentic workflows, MCP-style tool integrations, and AI-enabled process automation. I collaborate with cross-functional teams to translate business requirements into scalable AI solutions and uphold governance, security, and compliance in regulated industries.…I am a Generative AI Engineer / AI-ML Engineer with 9+ years of experience designing, developing, deploying, and supporting enterprise-grade Generative AI applications, Retrieval-Augmented Generation pipelines, NLP solutions, and cloud-native AI services across financial services, healthcare, insurance, energy, and enterprise technology domains. I specialize in building LLM-powered knowledge assistants, RAG architectures, agentic workflows, MCP-style tool integrations, and AI-enabled process automation. I collaborate with cross-functional teams to translate business requirements into scalable AI solutions and uphold governance, security, and compliance in regulated industries.

Available to hire

I am a Generative AI Engineer / AI-ML Engineer with 9+ years of experience designing, developing, deploying, and supporting enterprise-grade Generative AI applications, Retrieval-Augmented Generation pipelines, NLP solutions, and cloud-native AI services across financial services, healthcare, insurance, energy, and enterprise technology domains.

I specialize in building LLM-powered knowledge assistants, RAG architectures, agentic workflows, MCP-style tool integrations, and AI-enabled process automation. I collaborate with cross-functional teams to translate business requirements into scalable AI solutions and uphold governance, security, and compliance in regulated industries.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Work Experience

Generative AI Engineer / Senior Data Scientist at JPMorgan Chase

April 1, 2024 - Present

Developed enterprise Generative AI applications and end-to-end RAG pipelines to support financial knowledge retrieval, policy search, document summarization, analyst assistance, and internal question-answering workflows. Built secure LLM-powered knowledge assistants for policies, procedures, and approved repositories. Implemented MCP-style tool integration, governance, and audit logging, with human-in-the-loop approval. Optimized retrieval, grounding, evaluation, and deployed scalable inference via EKS and SageMaker endpoints. Collaborated with risk, compliance, data platform, and cloud teams to ensure regulatory alignment and production readiness.

AI/ML Engineer / Senior Data Scientist at Johnson & Johnson

September 1, 2022 - March 1, 2024

Led Healthcare AI/ML and NLP initiatives, developing supervised/unsupervised models for clinical classification, patient analytics, and operational forecasting. Built healthcare NLP workflows with BERT/RoBERTa for text classification, NER, summarization, and document processing. Used Azure OpenAI and managed endpoints; integrated with Power Platform dashboards; designed secure, governed production pipelines; extended document summarization and knowledge retrieval workflows.

AI/ML Engineer/ Data Scientist at MetLife

March 1, 2020 - August 1, 2022

Designed fraud-detection, credit-risk analytics, churn prediction, and customer segmentation models using XGBoost, Random Forest, Logistic Regression, and Scikit-learn. Built real-time scoring, model training with SageMaker, and batch inference; automated pipelines with Airflow; implemented monitoring with CloudWatch and SageMaker Model Monitor; created executive dashboards to communicate trends and model performance; ensured secure data access and governance.

Data Scientist / Machine Learning Engineer at Marathon Petroleum

October 1, 2018 - February 1, 2020

Developed predictive-maintenance models for refinery equipment using GCP AI Platform, BigQuery, and TensorFlow; built large-scale data ingestion with Dataflow and Cloud Storage; created dashboards for equipment health and throughput; implemented time-series forecasting (ARIMA/Prophet/LSTM) for maintenance and demand planning; developed computer-vision workflows for pipeline inspection and deployed serverless APIs for downstream systems.

Python Developer / Data Analyst at Wipro

June 1, 2016 - July 1, 2018

Built Python data-processing and automation scripts, developed reusable modules for ETL, REST APIs, and data validation; designed data pipelines leveraging AWS services; implemented CI/CD for Python apps; containerized services with Docker; performed traditional ML modeling with Scikit-learn and contributed to reporting and analytics.