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Senior AI/ML Engineer with 10+ years of experience delivering production-grade machine learning, GenAI, and MLOps solutions across healthcare, fintech, insurance, sports commerce, and telecom. Deep expertise in LLMs, RAG, agentic workflows, intelligent document processing, and conversational AI at enterprise scale. Known for building clean, well-documented, production-ready systems and partnering closely with cross-functional stakeholders to translate complex business needs into measurable AI outcomes, including HIPAA/CMS-aligned deployments and automated monitoring/retraining pipelines.…Senior AI/ML Engineer with 10+ years of experience delivering production-grade machine learning, GenAI, and MLOps solutions across healthcare, fintech, insurance, sports commerce, and telecom. Deep expertise in LLMs, RAG, agentic workflows, intelligent document processing, and conversational AI at enterprise scale. Known for building clean, well-documented, production-ready systems and partnering closely with cross-functional stakeholders to translate complex business needs into measurable AI outcomes, including HIPAA/CMS-aligned deployments and automated monitoring/retraining pipelines.

DAMODAR REDDY

AI Engineer, Data Scientist, DevOps Developer, +2

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Senior AI/ML Engineer with 10+ years of experience delivering production-grade machine learning, GenAI, and MLOps solutions across healthcare, fintech, insurance, sports commerce, and telecom. Deep expertise in LLMs, RAG, agentic workflows, intelligent document processing, and conversational AI at enterprise scale. Known for building clean, well-documented, production-ready systems and partnering closely with cross-functional stakeholders to translate complex business needs into measurable AI outcomes, including HIPAA/CMS-aligned deployments and automated monitoring/retraining pipelines.…Senior AI/ML Engineer with 10+ years of experience delivering production-grade machine learning, GenAI, and MLOps solutions across healthcare, fintech, insurance, sports commerce, and telecom. Deep expertise in LLMs, RAG, agentic workflows, intelligent document processing, and conversational AI at enterprise scale. Known for building clean, well-documented, production-ready systems and partnering closely with cross-functional stakeholders to translate complex business needs into measurable AI outcomes, including HIPAA/CMS-aligned deployments and automated monitoring/retraining pipelines.

Available to hire

Senior AI/ML Engineer with 10+ years of experience delivering production-grade machine learning, GenAI, and MLOps solutions across healthcare, fintech, insurance, sports commerce, and telecom. Deep expertise in LLMs, RAG, agentic workflows, intelligent document processing, and conversational AI at enterprise scale.

Known for building clean, well-documented, production-ready systems and partnering closely with cross-functional stakeholders to translate complex business needs into measurable AI outcomes, including HIPAA/CMS-aligned deployments and automated monitoring/retraining pipelines.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Sr. Artificial Intelligence Engineer at UnitedHealth Group, USA

April 1, 2023 - Present

Architected an AWS Bedrock GenAI clinical documentation assistant reducing physician charting time by 35% across multiple hospital networks. Deployed an LLM-driven prior authorization engine processing ~40,000 monthly requests and reducing review cycles from 5 days to under 18 hours. Designed agentic LangGraph workflows for eligibility verification and claims triage, improving resolution accuracy to 91% and deflecting 30% of calls. Led HIPAA-compliant Azure Databricks pipelines ingesting 500M daily health records and reduced data latency from 4 hours to under 20 minutes. Built an XGBoost readmission risk model on SageMaker with 84% AUC and improved outcomes via analytics and monitoring. Implemented LLM prompt grounding and hallucination mitigation for ICD code suggestion with 93% factual accuracy. Owned MLOps on SageMaker and MLflow (retraining/versioning/deployment) and implemented real-time monitoring and drift detection using CloudWatch/Evidently with automated retraining. Container

Artificial Intelligence Engineer at Fanatics, USA

July 1, 2020 - March 31, 2023

Built a neural-embedding personalization recommendation engine in PyTorch increasing average order value by 14% across ~80M fan profiles. Developed a real-time demand forecasting platform on SageMaker achieving 8.3% MAPE across 200K SKUs and reducing annual overstock write-offs by $3.4M. Created a GPT-4 + LangChain product description generator for SEO-optimized copy for 50,000 new items each quarter, eliminating ~80% manual effort. Engineered a RoBERTa-based fan sentiment pipeline processing 500K weekly reviews and powering executive dashboards. Implemented an MLOps framework on Azure DevOps and MLflow with automated drift monitoring and retraining, reducing degradation incidents by 60%. Built Power BI dashboards connected to model outputs and reduced ad-hoc analyst requests by 45%. Ran A/B experiments driving a measurable 9% conversion lift during peak events.

Artificial Intelligence Engineer at Apollo Global Management, USA

June 1, 2018 - June 30, 2020

Developed an NLP contract intelligence platform using LlamaIndex and Azure OpenAI extracting key legal clauses from 100,000+ private equity deal documents. Built a credit risk scoring model using alternative data (news sentiment and macro indicators) with a Gini of 0.71. Implemented real-time Azure ML portfolio monitoring flagging anomalous price movements with 94% precision. Designed an ESG aggregation and scoring engine synthesizing unstructured disclosures into fund-level scores aligned with MSCI/SASB. Migrated batch inference to Azure Kubernetes Service to reduce costs by 38% and increase throughput ~4x. Collaborated with portfolio managers to build Plotly Dash stress-testing and scenario-analysis tools, replacing static reports that took two days to prepare.

AI / Data Science Engineer at Apollo Hospitals Group (Apollo), USA

May 1, 2011 - May 31, 2018

Designed readmission and length-of-stay prediction models integrating structured EMR data with clinical notes, reducing readmissions by 16% across 12 facilities. Built an OPD patient triage NLP system using spaCy to categorize urgency, cutting average wait times by 22 minutes daily. Implemented Airflow ETL pipelines consolidating data from 8 source systems into a unified warehouse, reducing reporting lag from 48 hours to 4 hours. Created Tableau dashboards tracking bed utilization, procedure costs, and readmission rates for C-suite leadership. Implemented insurance fraud detection using Isolation Forest and XGBoost, saving ~four crore rupees annually. Conducted A/B studies on diagnostic workflow changes with rigorous statistical testing and presented results to hospital executives.