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I am a seasoned AI Engineer with 11+ years delivering enterprise-grade AI on Microsoft Azure. I specialize in building secure, scalable AI systems using Azure AI Foundry, Copilot Studio, LangSmith/LangGraph, and Retrieval-Augmented Generation (RAG) pipelines. I design prompt orchestration, agentic workflows, and governance aligned with Azure's generative AI ecosystem. My work spans AML and financial data, OCR and computer vision, localization, and enterprise integration. I focus on language readiness, PII removal, bias mitigation, and compliant deployment. I enjoy collaborating with cross-functional teams to translate business needs into production-ready AI platforms while ensuring performance, security, and regulatory compliance.…I am a seasoned AI Engineer with 11+ years delivering enterprise-grade AI on Microsoft Azure. I specialize in building secure, scalable AI systems using Azure AI Foundry, Copilot Studio, LangSmith/LangGraph, and Retrieval-Augmented Generation (RAG) pipelines. I design prompt orchestration, agentic workflows, and governance aligned with Azure's generative AI ecosystem. My work spans AML and financial data, OCR and computer vision, localization, and enterprise integration. I focus on language readiness, PII removal, bias mitigation, and compliant deployment. I enjoy collaborating with cross-functional teams to translate business needs into production-ready AI platforms while ensuring performance, security, and regulatory compliance.

Nandini Poludasu

AI Engineer, Data Scientist, AI Developer, +2

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I am a seasoned AI Engineer with 11+ years delivering enterprise-grade AI on Microsoft Azure. I specialize in building secure, scalable AI systems using Azure AI Foundry, Copilot Studio, LangSmith/LangGraph, and Retrieval-Augmented Generation (RAG) pipelines. I design prompt orchestration, agentic workflows, and governance aligned with Azure's generative AI ecosystem. My work spans AML and financial data, OCR and computer vision, localization, and enterprise integration. I focus on language readiness, PII removal, bias mitigation, and compliant deployment. I enjoy collaborating with cross-functional teams to translate business needs into production-ready AI platforms while ensuring performance, security, and regulatory compliance.…I am a seasoned AI Engineer with 11+ years delivering enterprise-grade AI on Microsoft Azure. I specialize in building secure, scalable AI systems using Azure AI Foundry, Copilot Studio, LangSmith/LangGraph, and Retrieval-Augmented Generation (RAG) pipelines. I design prompt orchestration, agentic workflows, and governance aligned with Azure's generative AI ecosystem. My work spans AML and financial data, OCR and computer vision, localization, and enterprise integration. I focus on language readiness, PII removal, bias mitigation, and compliant deployment. I enjoy collaborating with cross-functional teams to translate business needs into production-ready AI platforms while ensuring performance, security, and regulatory compliance.

Available to hire

I am a seasoned AI Engineer with 11+ years delivering enterprise-grade AI on Microsoft Azure. I specialize in building secure, scalable AI systems using Azure AI Foundry, Copilot Studio, LangSmith/LangGraph, and Retrieval-Augmented Generation (RAG) pipelines. I design prompt orchestration, agentic workflows, and governance aligned with Azure’s generative AI ecosystem.

My work spans AML and financial data, OCR and computer vision, localization, and enterprise integration. I focus on language readiness, PII removal, bias mitigation, and compliant deployment. I enjoy collaborating with cross-functional teams to translate business needs into production-ready AI platforms while ensuring performance, security, and regulatory compliance.

Skills

Experience Level

Expert

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Language

English

Fluent

Work Experience

Agentic AI Developer (Gen AI Developer) at JPMorgan Chase

November 1, 2022 - November 5, 2025

Led development and fine-tuning of LLMs, including GPT-3.5, for a Q&A chatbot, and architected multi-stage data pipelines for training to ensure high data quality and efficiency. Acted as architecture advisor for an industry-specific Claude-based chatbot MVP, delivering design documentation, product recommendations, and technical mentorship. Shaped a secure AI roadmap with model governance, data access control, and scalable LLMOps. Built a generative AI platform using embedding techniques to enhance Retrieval-Augmented Generation (RAG) for accurate responses. Designed architecture leveraging Claude, Snowflake Cortex Vector Search, and RESTful microservices for low-latency data handling. Deployed Azure-based AI solutions (Azure AI Foundry, Azure OpenAI, Copilot Studio) at enterprise scale. Mapped MVP data flows for unstructured transcript parsing and contextual retrieval in compliance with policies. Integrated LLMs with enterprise systems via SaaS/PaaS LLMs (Azure OpenAI, AWS Bedrock, V

AI/ML Engineer at EPAM SYSTEMS

October 1, 2022 - October 1, 2022

Utilized Gemini Pro’s automated hyperparameter tuning to optimize model performance, reducing manual intervention by 35%. Designed multi-layer data pipelines for generative AI applications, and collaborated on SAP-based OCR workflow integration. Developed data lakehouse architectures for unified data access and implemented Vertex AI Pipelines with CI/CD (Cloud Build, GitHub Actions) to automate retraining and deployment. Maintained HIPAA/NIST-aligned governance for AI models and built RAG pipelines with embeddings and vector DBs to improve contextual search. Applied ITIL/ITSM practices during ML vision deployments and tuned Anthropic Claude, OpenAI GPT, and Gemini models for customer-facing applications. Implemented anomaly detection and fraud scoring with embeddings (Pinecone) and statistical modeling, and monitored model drift with Vertex AI Model Monitoring. Built efficient data cleaning and chunking protocols, enabling robust ingestion for high-quality LLM training data. Ensured

Data Scientist/Data Analyst at Fannie Mae

June 1, 2020 - June 1, 2020

Developed predictive models to forecast product category volumes and drive data-driven decisions. Implemented Time Series (ARIMA) forecasting for consumption trends and advanced image classification (CNN) with optimized hyperparameters achieving high accuracy. Applied a suite of ML/AI techniques (decision trees, Naive Bayes, PCA, regression, clustering, SVM) for feature-rich predictive analytics. Implemented OCR/vision quality metrics (SSIM, PSNR) to filter low-quality images pre-OCR, and developed NLP keyword extraction using TF-IDF, Word2Vec, and NLTK. Created parallel data processing with DASK for scalable text analytics, and designed evaluation dashboards (precision, recall, F1) in Python and Power BI. Leveraged AWS SageMaker for training on large datasets and collaborated on data governance and data workflows for enterprise-scale OCR/vision pipelines.

Python Developer/Data Engineer at Modak Analytics

May 1, 2016 - May 1, 2016

Developed Python routines for web data extraction, implemented end-to-end ETL/ELT pipelines in GCP (BigQuery, GCS, Dataflow), and built data processing workflows using Apache Airflow. Gained hands-on experience with Hadoop/Spark ecosystems, SQL/NoSQL data stores, and data visualization with Matplotlib/Seaborn. Designed data pipelines for training and validation in ML workflows, implemented logistic regression for subscription modeling, and performed comprehensive data cleaning and feature engineering. Participated in SAP-based workflow integrations and utilized AWS components (EC2, S3, SageMaker) for scalable AI deployments. Built data ingestion protocols for structured and unstructured data and implemented anomaly detection and data quality checks to support OCR and NLP tasks.

Agentic AI Developer at JPMorgan Chase

November 1, 2022 - November 5, 2025

Developed and fine-tuned large language models (LLMs), including GPT-3.5, for a Q&A chatbot, achieving higher user engagement. Designed multi-stage data pipelines for LLM training, ensuring high data quality and efficiency. Served as architecture advisor for an industry-specific chatbot MVP using Anthropic Claude and Snowflake Cortex, providing design documentation, product recommendations, and technical mentorship. Implemented RAG pipelines with vector databases and embedding models to improve contextual accuracy. Designed Azure-based AI solutions leveraging Azure AI Foundry, OpenAI, Copilot Studio for enterprise-scale deployments. Led data flow for unstructured transcript parsing and contextual retrieval aligned with compliance policies. Built synthetic data generation workflows for testing agentic models. Implemented guardrails, auditing, and secure token gating for enterprise safety.