I am an AI/ML Engineer with 10 years of experience delivering data science, ML, LLM, NLP, and automation solutions across technology, retail, government, finance, and e-commerce. I’ve built scalable AI platforms using Python, Azure ML, SQL, and MLOps, improving deployment reliability, decision-making, automation maturity, and operational efficiency across enterprise environments. I design and deploy advanced ML workflows for forecasting, classification, recommendation, and anomaly detection, and I’ve built Generative AI/NLP applications using Azure OpenAI, transformers, RAG, and vector search. I enjoy collaborating with cross-functional teams to translate complex requirements into scalable AI solutions that deliver measurable business value while upholding governance and responsible AI practices.

Priya Chandana Chandragiri

I am an AI/ML Engineer with 10 years of experience delivering data science, ML, LLM, NLP, and automation solutions across technology, retail, government, finance, and e-commerce. I’ve built scalable AI platforms using Python, Azure ML, SQL, and MLOps, improving deployment reliability, decision-making, automation maturity, and operational efficiency across enterprise environments. I design and deploy advanced ML workflows for forecasting, classification, recommendation, and anomaly detection, and I’ve built Generative AI/NLP applications using Azure OpenAI, transformers, RAG, and vector search. I enjoy collaborating with cross-functional teams to translate complex requirements into scalable AI solutions that deliver measurable business value while upholding governance and responsible AI practices.

Available to hire

I am an AI/ML Engineer with 10 years of experience delivering data science, ML, LLM, NLP, and automation solutions across technology, retail, government, finance, and e-commerce. I’ve built scalable AI platforms using Python, Azure ML, SQL, and MLOps, improving deployment reliability, decision-making, automation maturity, and operational efficiency across enterprise environments.

I design and deploy advanced ML workflows for forecasting, classification, recommendation, and anomaly detection, and I’ve built Generative AI/NLP applications using Azure OpenAI, transformers, RAG, and vector search. I enjoy collaborating with cross-functional teams to translate complex requirements into scalable AI solutions that deliver measurable business value while upholding governance and responsible AI practices.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Generative AI Engineer (AI/ML Engineer) at Microsoft
May 1, 2023 - Present
Engineered AI/ML-driven enterprise solutions using Python, Azure OpenAI, FastAPI, and Azure AI Search to improve knowledge retrieval, automation efficiency, and decision support; designed scalable RAG architectures, built end-to-end pipelines for document ingestion, embedding generation, indexing, and retrieval orchestration; implemented secure data integration and governance for enterprise AI services, with a focus on reliability and scalability.
AI/ML Engineer (Applied Machine Learning Engineer) at Publix Super Markets Inc.
August 1, 2020 - April 1, 2023
Developed ML solutions for demand forecasting, customer behavior analysis, and operational decision-making; built predictive models for sales trends, product demand, and promotions; designed scalable data pipelines and integrated data from POS, transactions, and inventory to support planning and decision-making.
Data Scientist (Machine Learning Data Scientist) at State of Maryland
October 1, 2018 - July 1, 2020
Developed ML models to analyze public sector data, built end-to-end data pipelines, and deployed predictive analytics for citizen services and program performance; automated reporting and analytics workflows; collaborated with stakeholders to translate policy requirements into AI solutions.
Senior Data Analyst (Predictive Analytics) at LPL Finance LLC
April 1, 2017 - September 1, 2018
Developed predictive models for client behavior and portfolio analysis; built scalable data pipelines; created dashboards; automated analytics workflows; collaborated with cross-functional teams to translate financial requirements into data science solutions.
Python Data Analyst (ML Support & Analytics) at Snapdeal (Ace Vector Limited)
August 1, 2015 - December 1, 2016
Analyzed large-scale e-commerce datasets; built data pipelines; produced ad hoc analytics and dashboards; prepared analysis-ready datasets; collaborated with cross-functional teams to drive sales visibility and customer insights.

Education

Bachelor of Engineering in Computer Science and Engineering at Prathyusha Engineering College, India
January 11, 2030 - June 1, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Retail, Software & Internet, Government, Financial Services, Other