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Senior AI/ML and Agentic AI Engineer with 10+ years of experience delivering enterprise GenAI, RAG, NLP, data engineering, and MLOps solutions across healthcare, banking, insurance, and analytics. Hands-on expertise in Python and C#/.NET for secure, scalable AI-powered applications. Experienced in integrating multiple LLMs (GPT-4/4o, Claude, Gemini, Llama, Amazon Titan/Bedrock, Azure OpenAI) with dynamic routing, fallback handling, prompt optimization, and structured outputs. Builds production-grade RAG and multi-agent systems (LangChain/LangGraph, LlamaIndex, CrewAI/AutoGen, OpenAI Agents SDK, Semantic Kernel, MCP) with evaluation, monitoring, and HIPAA/PHI/PII-safe security practices.…Senior AI/ML and Agentic AI Engineer with 10+ years of experience delivering enterprise GenAI, RAG, NLP, data engineering, and MLOps solutions across healthcare, banking, insurance, and analytics. Hands-on expertise in Python and C#/.NET for secure, scalable AI-powered applications. Experienced in integrating multiple LLMs (GPT-4/4o, Claude, Gemini, Llama, Amazon Titan/Bedrock, Azure OpenAI) with dynamic routing, fallback handling, prompt optimization, and structured outputs. Builds production-grade RAG and multi-agent systems (LangChain/LangGraph, LlamaIndex, CrewAI/AutoGen, OpenAI Agents SDK, Semantic Kernel, MCP) with evaluation, monitoring, and HIPAA/PHI/PII-safe security practices.

Amareswari Potu

AI Engineer, Data Engineer, DevOps Developer, +3

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Senior AI/ML and Agentic AI Engineer with 10+ years of experience delivering enterprise GenAI, RAG, NLP, data engineering, and MLOps solutions across healthcare, banking, insurance, and analytics. Hands-on expertise in Python and C#/.NET for secure, scalable AI-powered applications. Experienced in integrating multiple LLMs (GPT-4/4o, Claude, Gemini, Llama, Amazon Titan/Bedrock, Azure OpenAI) with dynamic routing, fallback handling, prompt optimization, and structured outputs. Builds production-grade RAG and multi-agent systems (LangChain/LangGraph, LlamaIndex, CrewAI/AutoGen, OpenAI Agents SDK, Semantic Kernel, MCP) with evaluation, monitoring, and HIPAA/PHI/PII-safe security practices.…Senior AI/ML and Agentic AI Engineer with 10+ years of experience delivering enterprise GenAI, RAG, NLP, data engineering, and MLOps solutions across healthcare, banking, insurance, and analytics. Hands-on expertise in Python and C#/.NET for secure, scalable AI-powered applications. Experienced in integrating multiple LLMs (GPT-4/4o, Claude, Gemini, Llama, Amazon Titan/Bedrock, Azure OpenAI) with dynamic routing, fallback handling, prompt optimization, and structured outputs. Builds production-grade RAG and multi-agent systems (LangChain/LangGraph, LlamaIndex, CrewAI/AutoGen, OpenAI Agents SDK, Semantic Kernel, MCP) with evaluation, monitoring, and HIPAA/PHI/PII-safe security practices.

Available to hire

Senior AI/ML and Agentic AI Engineer with 10+ years of experience delivering enterprise GenAI, RAG, NLP, data engineering, and MLOps solutions across healthcare, banking, insurance, and analytics. Hands-on expertise in Python and C#/.NET for secure, scalable AI-powered applications.

Experienced in integrating multiple LLMs (GPT-4/4o, Claude, Gemini, Llama, Amazon Titan/Bedrock, Azure OpenAI) with dynamic routing, fallback handling, prompt optimization, and structured outputs. Builds production-grade RAG and multi-agent systems (LangChain/LangGraph, LlamaIndex, CrewAI/AutoGen, OpenAI Agents SDK, Semantic Kernel, MCP) with evaluation, monitoring, and HIPAA/PHI/PII-safe security practices.

Skills

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Intermediate

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Language

Work Experience

AI ML Engineer at Northwell Health

December 1, 2025 - Present

Built an end-to-end Ambient AI Clinical Documentation platform that converts clinician-patient conversations into structured SOAP notes with clinician review and Epic EHR integration. Implemented secure audio ingestion and clinical metadata capture using C#/.NET Web APIs, FastAPI, WebSockets, and AWS messaging/storage (Kafka, SQS, Lambda, S3). Developed audio pipelines for noise reduction, voice activity detection, ASR, and speaker diarization, then applied clinical NLP (spaCy, Hugging Face, terminology normalization) to extract entities such as symptoms, medications, diagnoses, procedures, and follow-ups. Designed enterprise RAG pipelines with hybrid retrieval, metadata filtering, contextual retrieval, and reranking using LangChain/LlamaIndex, Pinecone/FAISS, and embeddings. Integrated multiple LLM providers (GPT-4/4o, Claude, Gemini, Llama, Amazon Titan, SageMaker, Bedrock) with dynamic model selection based on privacy, quality, latency, and cost. Orchestrated multi-agent clinical wo

Sr AI ML Engineer at Northwell Health

December 1, 2025 - Present

Designed and developed an enterprise Ambient AI Clinical Documentation Platform converting patient-clinician conversations into structured SOAP notes with clinician review and Epic EHR integration. Built secure ingestion services for audio streams and clinical metadata using C#/.NET, FastAPI, WebSockets, Kafka, AWS SQS, Lambda, and S3. Implemented audio processing pipelines including noise reduction, Voice Activity Detection, ASR, and speaker diarization; developed clinical NLP to extract medical entities and normalize terminology. Built enterprise RAG using LangChain/LlamaIndex with Pinecone/FAISS, hybrid retrieval, metadata filtering, contextual retrieval, and reranking. Integrated multiple LLMs (GPT-4/4o, Claude, Gemini, Llama, Titan, Bedrock, SageMaker) with dynamic model selection and structured JSON outputs. Orchestrated multi-agent workflows with LangGraph/CrewAI/AutoGen/OpenAI Agents SDK/Semantic Kernel/MCP including validation gates and Human-in-the-Loop approval. Developed C#

Senior Agentic AI Engineer at First Midwest bank

February 1, 2024 - November 30, 2025

Designed and built an enterprise Financial Risk Intelligence & Fraud Detection Platform to detect suspicious transactions, prioritize alerts, generate investigation summaries, and automate fraud analyst workflows. Implemented secure batch and near-real-time ingestion using Azure Data Factory, Event Hubs, Service Bus, Azure Functions, Blob Storage, Databricks, PySpark, and SQL. Built data validation and preprocessing (schema checks, deduplication, normalization, reconciliation) and feature engineering pipelines for fraud risk signals. Developed ML models (Logistic Regression, Random Forest, XGBoost, anomaly detection, clustering) to identify transaction velocity, device/merchant risk, and geolocation anomalies. Built document-processing and NLP workflows using Azure AI Document Intelligence and Azure AI Language for KYC and investigation evidence extraction. Implemented RAG pipelines with LangChain/LlamaIndex and Azure AI Search/Pinecone/FAISS, hybrid retrieval, metadata filtering, cont

Data and ML Engineer at Highmark Health

March 1, 2022 - January 31, 2024

Developed a GCP-based Healthcare Analytics & Machine Learning Platform to predict patient risk, identify care gaps, and monitor utilization for population health initiatives. Built end-to-end healthcare ingestion and ETL/ELT pipelines using Python, PySpark, Cloud Storage, Pub/Sub, Cloud Composer, and Apache Airflow for claims, EHR extracts, pharmacy, labs, and eligibility/provider data. Implemented data transformation and feature engineering with Dataproc, PySpark, and BigQuery including cleansing, schema validation, deduplication, reconciliation, partitioning, clustering, and data quality controls. Trained predictive models (XGBoost, Scikit-learn) for readmission prediction, high-risk identification, care-gap detection, and outreach prioritization using Vertex AI and Vertex AI Pipelines. Built healthcare NLP and GenAI workflows for entity extraction, classification, summaries, and care-gap explanations with human review. Developed secure healthcare APIs and deployed ML services with C

Sr. Data Engineer (python & ETL) at State Farm

January 1, 2020 - February 1, 2022

Designed and developed Azure-based Telematics and Claims risk analytics ETL platform. Built end-to-end ETL pipelines using Python and PySpark with Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Gen2 for large-scale enterprise data ingestion and transformations. Created reusable Python modules for ingestion, schema validation, cleansing, duplicate removal, error handling, logging, and automated data quality checks. Developed Python-based extraction scripts from REST APIs and multiple databases, and loaded raw data into ADLS Gen2. Implemented PySpark transformations in Databricks including joins, aggregations, window functions, partitioning, and incremental loads. Applied Bronze/Silver/Gold data layering using Delta Lake and Parquet for raw, cleansed, and business-ready datasets. Orchestrated ETL via ADF pipelines with integrated Python validation scripts (record counts, null checks, schema mismatches, duplicates, load status). Reconciled and loaded curated datasets in

Sr.Data Engineer (python &ETL) at State Farm

January 1, 2020 - February 28, 2022

Built Azure-based telematics & claims risk analytics data platform ETL pipelines using Python, PySpark, Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Gen2. Created reusable ingestion and validation modules (schema validation, cleansing, duplicate removal, error handling, logging, automated data quality checks). Developed Python extraction scripts from REST APIs and multiple databases/files, loading raw data into ADLS Gen2. Implemented optimized transformation jobs with incremental loads, partitioning, window functions, and aggregations in Databricks. Organized data layers (Bronze/Silver/Gold) using Delta Lake and Parquet and loaded curated datasets into Azure Synapse with reconciliation checks. Implemented production logging, exception handling, retries, alerting, and SLA monitoring with Azure Monitor and Log Analytics; secured using Azure Key Vault and CI/CD via Azure DevOps.

Data Engineer at Fractal Analytics

June 1, 2016 - September 30, 2019

Developed an enterprise NLP & customer intelligence platform processing customer interactions, survey responses, call center notes, support tickets, CRM data, and feedback for sentiment and behavior insights. Collaborated with analytics and business teams to translate reporting needs into scalable data engineering and NLP pipelines. Built ETL workflows using Python, SQL, Informatica PowerCenter, and shell scripting for structured/unstructured ingestion from CRM and third-party sources. Implemented data cleansing, standardization, deduplication, text preprocessing, tokenization, stop-word removal, metadata extraction, and validation rules. Supported NLP workflows using NLTK, spaCy, and ML techniques for sentiment analysis, keyword extraction, topic classification, and intent grouping. Applied production engineering practices including reusable components, SQL tuning, scheduling, error handling, audit logging, unit testing, documentation, and Git version control.