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Hi, I'm Preetham Reddy, a Senior AI/ML Engineer with 6+ years delivering enterprise-grade AI systems across financial services, insurance, and healthcare. I excel in GenAI application development, RAG pipeline architecture, and multi-agent orchestration to automate complex business processes. I specialize in end-to-end MLOps on Azure, AWS, and GCP, focusing on auditable outputs and safety guardrails to meet regulatory requirements. I enjoy turning research into production-ready AI that boosts efficiency and decision-making for regulated domains.…Hi, I'm Preetham Reddy, a Senior AI/ML Engineer with 6+ years delivering enterprise-grade AI systems across financial services, insurance, and healthcare. I excel in GenAI application development, RAG pipeline architecture, and multi-agent orchestration to automate complex business processes. I specialize in end-to-end MLOps on Azure, AWS, and GCP, focusing on auditable outputs and safety guardrails to meet regulatory requirements. I enjoy turning research into production-ready AI that boosts efficiency and decision-making for regulated domains.

Preetham Reddy

AI Engineer, AI Developer, Data Scientist, +2

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Hi, I'm Preetham Reddy, a Senior AI/ML Engineer with 6+ years delivering enterprise-grade AI systems across financial services, insurance, and healthcare. I excel in GenAI application development, RAG pipeline architecture, and multi-agent orchestration to automate complex business processes. I specialize in end-to-end MLOps on Azure, AWS, and GCP, focusing on auditable outputs and safety guardrails to meet regulatory requirements. I enjoy turning research into production-ready AI that boosts efficiency and decision-making for regulated domains.…Hi, I'm Preetham Reddy, a Senior AI/ML Engineer with 6+ years delivering enterprise-grade AI systems across financial services, insurance, and healthcare. I excel in GenAI application development, RAG pipeline architecture, and multi-agent orchestration to automate complex business processes. I specialize in end-to-end MLOps on Azure, AWS, and GCP, focusing on auditable outputs and safety guardrails to meet regulatory requirements. I enjoy turning research into production-ready AI that boosts efficiency and decision-making for regulated domains.

Available to hire

Hi, I’m Preetham Reddy, a Senior AI/ML Engineer with 6+ years delivering enterprise-grade AI systems across financial services, insurance, and healthcare. I excel in GenAI application development, RAG pipeline architecture, and multi-agent orchestration to automate complex business processes.

I specialize in end-to-end MLOps on Azure, AWS, and GCP, focusing on auditable outputs and safety guardrails to meet regulatory requirements. I enjoy turning research into production-ready AI that boosts efficiency and decision-making for regulated domains.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI Engineer at SMBC

June 1, 2024 - Present

Architected multi-agent agentic workflows on Azure AI Foundry Agent Service using Semantic Kernel and AutoGen v0.4 to automate policy document review and compliance routing, reducing manual review effort by 40%+. Implemented end-to-end MLOps with model versioning, CI/CD via Azure DevOps, deployment automation, and production monitoring for enterprise AI workloads on Azure AI Foundry. Integrated Model Context Protocol (MCP) servers to standardize tool connectivity across agent workflows, enabling secure access to internal banking knowledge bases and APIs. Implemented LLM evaluation frameworks, hallucination monitoring, and safety guardrails to ensure auditable, regulation-compliant outputs.

Senior AI/ML Engineer at State Farm Insurance

October 1, 2023 - May 1, 2024

Designed GenAI-powered claims automation using Azure OpenAI (GPT-4) and Semantic Kernel with multi-agent orchestration for document triaging, claims classification, and compliance routing. Built fraud detection models (XGBoost, Random Forests, Scikit-learn) on structured claims data, improving accuracy and reducing false-positive escalations. Implemented RAG pipelines with Azure Cognitive Search and FAISS for real-time retrieval; applied MLOps for versioning, deployment, and monitoring. Fine-tuned NLP models with Hugging Face Transformers for claims narrative summarization; enforced RBAC, PHI masking, and audit logging for enterprise data privacy and compliance.

Senior AI/ML Engineer at Novant Health

November 1, 2022 - September 1, 2023

Deployed BERT-based patient triage and query-handling models on GCP Cloud Functions, enabling multilingual patient communication with sub-500ms latency. Built end-to-end ML pipelines on GCP Vertex AI (data ingestion, training, evaluation, monitoring) and developed FastAPI/Flask APIs integrating triage models with patient portals and call-center routing. Developed clinical text summarization modules to aid clinicians in interpreting patient histories, maintaining HIPAA compliance via encryption, RBAC, and audit logging. Containerized models with Docker, deployed to GKE, and implemented CI/CD with drift monitoring to sustain clinical accuracy across multilingual data.

Data Engineer / ML Engineer at Terralogic Software Solutions

April 1, 2019 - March 1, 2021

Developed ML models for ticket classification, sentiment analysis, and topic modeling (LDA) using scikit-learn, NLTK, and SpaCy to prioritize support queues and surface customer pain points. Built NLP data pipelines (preprocessing, feature engineering, training, deployment) and REST API integrations into ticketing systems; conducted ongoing model monitoring and tuning.

Data Analyst at Tanama Software Pvt. Ltd.

June 1, 2018 - April 1, 2019

Designed Tableau and Power BI dashboards for loan KPIs, NPA ratios, and acquisition trends; wrote complex SQL (Oracle, Teradata) for transactional and credit data reporting. Led campaign analysis identifying 22% improvement in personal loan conversion rates; built churn models (logistic regression, decision trees) and K-Means customer segmentation. Automated RBI compliance reporting using Informatica and shell scripts; applied ARIMA forecasting for credit card revenue and interest income planning.