I'm Rohith Pabbathi, a Senior AI/ML Engineer with about 8 years of experience building scalable, enterprise-grade AI systems across aviation, healthcare, and e-commerce. I design multi-agent workflows, production-grade RAG pipelines, and real-time predictive models on Azure and AWS. I have led initiatives that cut response times and improved reliability, including agentic workflows and real-time retrieval systems for complex regulatory data. I enjoy bridging complex neural architectures with business needs, applying HITL governance, and delivering sub-100ms latency microservices that drive measurable impact. I thrive on turning data into reliable, regulated AI solutions. My work spans American Airlines, Delta Dental, Flipkart, and Delhivery, where I have delivered scalable AI solutions for flight operations, claims processing, supply chain analytics, and logistics optimization.

Rohith Pabbathi

I'm Rohith Pabbathi, a Senior AI/ML Engineer with about 8 years of experience building scalable, enterprise-grade AI systems across aviation, healthcare, and e-commerce. I design multi-agent workflows, production-grade RAG pipelines, and real-time predictive models on Azure and AWS. I have led initiatives that cut response times and improved reliability, including agentic workflows and real-time retrieval systems for complex regulatory data. I enjoy bridging complex neural architectures with business needs, applying HITL governance, and delivering sub-100ms latency microservices that drive measurable impact. I thrive on turning data into reliable, regulated AI solutions. My work spans American Airlines, Delta Dental, Flipkart, and Delhivery, where I have delivered scalable AI solutions for flight operations, claims processing, supply chain analytics, and logistics optimization.

Available to hire

I’m Rohith Pabbathi, a Senior AI/ML Engineer with about 8 years of experience building scalable, enterprise-grade AI systems across aviation, healthcare, and e-commerce. I design multi-agent workflows, production-grade RAG pipelines, and real-time predictive models on Azure and AWS. I have led initiatives that cut response times and improved reliability, including agentic workflows and real-time retrieval systems for complex regulatory data. I enjoy bridging complex neural architectures with business needs, applying HITL governance, and delivering sub-100ms latency microservices that drive measurable impact.
I thrive on turning data into reliable, regulated AI solutions. My work spans American Airlines, Delta Dental, Flipkart, and Delhivery, where I have delivered scalable AI solutions for flight operations, claims processing, supply chain analytics, and logistics optimization.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert

Work Experience

Senior AI / ML Engineer at American Airlines
August 1, 2024 - Present
Led development of enterprise Generative AI and predictive ML solutions for flight operations and customer experience. Architected scalable, Azure-native AI systems to manage flight disruptions, optimize crew reassignments, and provide regulation-compliant retrieval for maintenance and operations staff. Implemented production-grade multi-agent workflows using LangChain and LangGraph with specialized agents to enable coordinated disruption handling. Built an enterprise RAG-based retrieval system with LlamaIndex and Azure AI Search to access FAA regulations and SOPs in real time, reducing lookup times from minutes to seconds. Established HITL governance with audit trails and escalation interfaces. Reengineered real-time delay prediction pipelines with Apache Kafka and gradient boosting models (XGBoost/LightGBM). Containerized services with Docker and deployed via AKS; designed low-latency microservices with FastAPI. Migrated data to Azure Data Lake and Databricks for feature engineering
Machine Learning Engineer at Delta Dental
February 1, 2022 - January 1, 2024
Developed predictive ML models and NLP pipelines to automate claims adjudication and detect fraudulent activity in a HIPAA-compliant cloud environment. Built LLM-powered RAG pipelines with AWS Bedrock to extract and retrieve insights from unstructured clinical and policy documents. Designed Flask APIs to serve ML models and integrate AI-driven decisions with internal claims platforms. Engineered anomaly detection with Isolation Forest to improve fraud detection. Extracted diagnostic codes from unstructured records using BERT/Hugging Face. Built secure data pipelines with AWS Glue; containerized workflows with Docker; implemented de-identification to ensure privacy. Established CI/CD with GitHub Actions and MLflow; implemented drift monitoring with Neptune AI. Supported production monitoring and retraining triggers.
Data Analyst at Flipkart
January 1, 2019 - February 1, 2022
Supported supply chain and product analytics by extracting, transforming, and visualizing large-scale e-commerce data. Automated operational reporting and monitored inventory during peak events, delivering clean datasets to data science teams. Built automated data pipelines with PySpark and Python (Pandas/NumPy); developed dashboards with Apache Superset and Metabase for category managers. Performed EDA on A/B test results to optimize onboarding funnels; automated daily reporting with Apache Airflow.
Junior Python Developer at Delhivery
May 1, 2017 - December 1, 2018
Supported backend engineering for scaling logistics applications. Developed RESTful APIs with Django; automated data entry tasks with Python scripts; ensured reliable real-time package tracking. Wrote unit tests with PyTest, assisted in troubleshooting, and containerized microservices with Docker. Built PostgreSQL queries, documented data models, and collaborated with QA for robust deployments.

Education

Master’s in Data Science at University of North Texas
January 11, 2030 - May 5, 2026

Qualifications

AWS Certified Machine Learning – Specialty
January 11, 2030 - May 5, 2026
Microsoft Certified: Azure AI Engineer Associate
January 11, 2030 - May 5, 2026
Microsoft Certified: Azure Data Fundamentals
January 11, 2030 - May 5, 2026
Databricks Generative AI Fundamentals
January 11, 2030 - May 5, 2026

Industry Experience

Healthcare, Transportation & Logistics, Travel & Hospitality, Software & Internet, Professional Services