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GenAI / Machine Learning professional with 10+ years of experience designing, building, and deploying AI-driven solutions across financial services, healthcare, and e-commerce. Expertise includes RAG pipelines, LLM integration, agentic workflows (LangChain/LangGraph), LoRA fine-tuning, and secure, production-grade MLOps. Delivered enterprise GenAI platforms for document intelligence, compliance automation, and risk prediction while ensuring governance, evaluation, drift monitoring, and explainability for regulated environments. Skilled in cloud-native inference, secure APIs, and end-to-end model lifecycle management from data pipelines to deployment and monitoring.…GenAI / Machine Learning professional with 10+ years of experience designing, building, and deploying AI-driven solutions across financial services, healthcare, and e-commerce. Expertise includes RAG pipelines, LLM integration, agentic workflows (LangChain/LangGraph), LoRA fine-tuning, and secure, production-grade MLOps. Delivered enterprise GenAI platforms for document intelligence, compliance automation, and risk prediction while ensuring governance, evaluation, drift monitoring, and explainability for regulated environments. Skilled in cloud-native inference, secure APIs, and end-to-end model lifecycle management from data pipelines to deployment and monitoring.

Harish Chinnakadiri

AI Engineer, Data Scientist, Data Engineer, +2

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GenAI / Machine Learning professional with 10+ years of experience designing, building, and deploying AI-driven solutions across financial services, healthcare, and e-commerce. Expertise includes RAG pipelines, LLM integration, agentic workflows (LangChain/LangGraph), LoRA fine-tuning, and secure, production-grade MLOps. Delivered enterprise GenAI platforms for document intelligence, compliance automation, and risk prediction while ensuring governance, evaluation, drift monitoring, and explainability for regulated environments. Skilled in cloud-native inference, secure APIs, and end-to-end model lifecycle management from data pipelines to deployment and monitoring.…GenAI / Machine Learning professional with 10+ years of experience designing, building, and deploying AI-driven solutions across financial services, healthcare, and e-commerce. Expertise includes RAG pipelines, LLM integration, agentic workflows (LangChain/LangGraph), LoRA fine-tuning, and secure, production-grade MLOps. Delivered enterprise GenAI platforms for document intelligence, compliance automation, and risk prediction while ensuring governance, evaluation, drift monitoring, and explainability for regulated environments. Skilled in cloud-native inference, secure APIs, and end-to-end model lifecycle management from data pipelines to deployment and monitoring.

Available to hire

GenAI / Machine Learning professional with 10+ years of experience designing, building, and deploying AI-driven solutions across financial services, healthcare, and e-commerce. Expertise includes RAG pipelines, LLM integration, agentic workflows (LangChain/LangGraph), LoRA fine-tuning, and secure, production-grade MLOps.

Delivered enterprise GenAI platforms for document intelligence, compliance automation, and risk prediction while ensuring governance, evaluation, drift monitoring, and explainability for regulated environments. Skilled in cloud-native inference, secure APIs, and end-to-end model lifecycle management from data pipelines to deployment and monitoring.

Skills

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Work Experience

GenAI/AI Engineer at Barclays

April 1, 2025 - Present

Built agent-based GenAI workflows for document summarization and compliance reporting, reducing manual document review time by 28%. Implemented RAG pipelines using LlamaIndex with metadata-aware filtering and vector stores (PostgreSQL pgvector, FAISS) improving retrieval precision by 22%. Developed document classification models to pre-screen inputs and improved downstream efficiency by 12%. Integrated LLMs via Amazon Bedrock and SageMaker, reducing inference latency (850ms to 520ms). Orchestrated secure, auditable agent workflows using LangChain/LangGraph and MCP-aligned context exchange, adding scoped memory isolation and guardrails to reduce hallucinations. Exposed summarization/classification/retrieval services via FastAPI REST APIs with IAM controls. Deployed containerized inference services on Amazon EKS with autoscaling (+20% throughput) and set up SageMaker endpoints for scalable hosting. Automated training/evaluation/deployment with SageMaker Pipelines, MLflow, and DVC (30% fa

GenAI/AI Engineer at Client: Barclays

April 1, 2025 - Present

Contributed to an enterprise financial knowledge & compliance automation platform modernizing internal document review, compliance report generation, and institutional knowledge retrieval. Built agent-based GenAI workflows using LangChain/LangGraph for document summarization and compliance reporting. Implemented RAG pipelines with LlamaIndex, PostgreSQL (pgvector), and FAISS, including metadata-aware filtering and semantic search improvements. Integrated Meta Llama models via Amazon Bedrock and SageMaker for managed inference, and developed session-aware conversational interfaces with guardrails to reduce flagged hallucinations. Designed secure REST APIs (FastAPI) with IAM controls and containerized inference services deployed on Amazon EKS. Automated training/evaluation/deployment using SageMaker Pipelines, MLflow, and DVC, and implemented monitoring, drift detection (Evidently AI), and CI/CD automation with GitHub Actions and Terraform. Achieved improvements in manual review time, re

Data Scientist / AI-ML Engineer at Equality Health

January 1, 2023 - March 31, 2025

Worked on a healthcare risk prediction & patient analytics platform to enable earlier identification of at-risk patients while maintaining privacy and compliance. Developed risk prediction and readmission forecasting models using XGBoost and neural networks (TensorFlow 2.x/Keras), improving model accuracy. Built NLP/NER-driven clinical embeddings using BERT and validated for bias reduction. Designed scalable feature pipelines using Azure Blob Storage and Azure Synapse aligned to HL7/FHIR interoperability. Built end-to-end training workflows in Azure ML Pipelines with MLflow experiment tracking and model registry governance. Containerized training/inference for real-time and batch endpoints deployed on Azure ML and AKS, serving large daily scoring volumes. Exposed prediction and explainability via FastAPI APIs and built React dashboards for clinician/analyst insights. Implemented OAuth2/Azure AD RBAC for HIPAA-compliant PHI access, explainability using SHAP/LIME, dataset versioning with

Data Scientist at Chewy

June 1, 2019 - December 31, 2022

Contributed to an e-commerce fraud detection & risk analytics platform supporting trust and safety. Built fraud/bot activity detection models using Isolation Forest, autoencoders, and sequence models (LSTM/RNN) with NLP text pattern analysis, reducing false positive rates. Produced end-to-end ML pipelines with DVC-based dataset/version reproducibility and MLflow experiment tracking/registry. Deployed models to AWS SageMaker inference endpoints with staged rollouts, improving reliability, and containerized workloads with Docker/Kubernetes. Automated training/release pipelines using GitHub Actions and Jenkins. Developed FastAPI scoring APIs supporting checkout/account verification with improved response latencies. Implemented monitoring utilities for drift/schema/inference anomalies and documented runbooks for lifecycle governance.

Sr. Data Analyst at Jet Blue Airlines

May 1, 2018 - May 31, 2019

Supported airline customer analytics & revenue insights by performing data analysis, preparation, and reporting to improve route performance, loyalty, and satisfaction visibility. Built Python analytics workflows (Pandas/NumPy/Scikit-learn) and improved forecasting accuracy for revenue models. Designed ETL and data modeling practices (OLTP/OLAP), integrated booking/loyalty/flight operations data, and implemented data validation to reduce dashboard/reporting errors. Contributed to ETL modernization by consolidating legacy feeds into an on-premises SQL Server warehouse, improving query performance. Produced Tableau dashboards and advanced Excel reports for KPI monitoring, and applied sentiment/text mining using NLTK/spaCy on customer feedback.

Data Analyst at TIAA Insurance

December 1, 2016 - April 30, 2018

Worked on an enterprise insurance claims & policy analytics platform. Extracted and transformed structured and semi-structured insurance data from PostgreSQL. Performed data cleaning/validation and exploratory analysis using SQL, Python, R, Statsmodels, and Excel, identifying trends/seasonality and anomalies. Supported churn prediction and claim risk scoring using logistic regression and Random Forest, improving retention prediction accuracy. Built and automated Tableau dashboards and Excel reports, including recurring workflow automation with Python scripts and Excel macros to reduce manual effort. Partnered with stakeholders to translate requirements into accurate data queries.

Python Developer at Citi Bank

April 1, 2015 - November 30, 2016

Developed backend modules in Python and Java for enterprise banking customer analytics/services. Built REST APIs for integration with third-party financial data feeds and implemented secure ETL workflows using SQL (queries, stored procedures, views), reducing processing time. Implemented text preprocessing and statistical modeling utilities for segmentation and customer communication classification. Automated build/deployment processes using Jenkins and shell scripting and used Splunk-based monitoring to improve deployment reliability.