A
Aamani Chamarthi
About
Detail
Texas, United States
Résumé
Jobs
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Gen AI/ML EngineerPeaceHealthJan 2024 - Current (2 years 8 months)• Designed and deployed LLM-powered clinical documentation and decision-support systems using GPT-3.5, LLaMA2, and AWS Bedrock, reducing clinician documentation time by ~30% across 6+ departments while collaborating with clinicians to align workflows with production healthcare needs. • Built Retrieval-Augmented Generation (RAG) systems using LangChain, SQL-backed data pipelines, and vector databases enabling grounded responses across 500K+ clinical documents while supporting semantic search using embedding models with Pinecone and FAISS across longitudinal patient documentation. • Implemented agentic workflows using LangGraph to automate document summarization, entity extraction, and structured clinical report generation while integrating h- AI/ML EngineerPeacockAug 2022 - Jul 2023 (1 year)• Developed recommendation, ranking, and personalization models using TensorFlow and PyTorch increasing click- through rate by ~10% and average session duration by ~8% while optimizing large-scale user engagement systems. • Built semantic search and embedding-based retrieval systems using FAISS and Pinecone improving content discovery across a catalog of 50K+ titles while enabling scalable similarity search pipelines. • Designed scalable data preparation pipelines using SQL and BigQuery for large-scale user interaction datasets while supporting experimentation and feature engineering workflows. • Built internal Streamlit dashboards enabling product and analytics teams to analyze model outputs, experimentation metrics, and recommendation per
- Data ScientistPNCJan 2021 - Jul 2022 (1 year 7 months)• Built predictive models for credit risk, customer segmentation, and financial forecasting using Python, scikit-learn, TensorFlow, Azure ML, and advanced SQL analytics across retail and commercial portfolios. • Improved credit risk model accuracy by ~12–15% through feature engineering, hyperparameter tuning, and cross- validation strategies while optimizing model generalization. • Queried and transformed large financial datasets using SQL supporting risk scoring across a $1B+ loan portfolio while enabling scalable analytical workflows. • Developed Streamlit-based analytical dashboards for model explainability demonstrations and internal risk analysis workflows supporting stakeholder decision-making. • Implemented explainable AI techniques
Education
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- Master of Science in Computer ScienceUniversity of North TexasAug 2023 - May 2025 (1 year 10 months)Denton, United States
- Bachelor of Technology in Electronics and Communication EngineeringVignan's Foundation for Science, Technology & ResearchJun 2019 - May 2023 (4 years)Guntur, India
- AWS Certified Machine Learning Engineer AssociateAWS
- AWS Certified AI PractitionerAWS
- Prompt EngineeringVanderbilt University
- IBM RAG and Agentic AIIBM
- Google Data Analytics Professional CertificateGoogle
- Generative AI Leader CertificationGoogle Cloud
- Microsoft Certified Azure AI FundamentalsMicrosoft