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Hello! I'm Sujan Puvvada, a data scientist and AI/ML engineer with 11+ years of experience focusing on ML engineering, Generative AI, and NLP. I thrive on turning complex data into actionable insights and building scalable AI systems that deliver real business value. I enjoy collaborating with cross-functional teams to solve challenging problems and delivering production-ready models, dashboards, and automated workflows that empower decision-makers while maintaining governance and responsible AI practices.…Hello! I'm Sujan Puvvada, a data scientist and AI/ML engineer with 11+ years of experience focusing on ML engineering, Generative AI, and NLP. I thrive on turning complex data into actionable insights and building scalable AI systems that deliver real business value. I enjoy collaborating with cross-functional teams to solve challenging problems and delivering production-ready models, dashboards, and automated workflows that empower decision-makers while maintaining governance and responsible AI practices.

Sujan Puvvada

Data Scientist, AI Engineer, Full Stack Developer, +1

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Hello! I'm Sujan Puvvada, a data scientist and AI/ML engineer with 11+ years of experience focusing on ML engineering, Generative AI, and NLP. I thrive on turning complex data into actionable insights and building scalable AI systems that deliver real business value. I enjoy collaborating with cross-functional teams to solve challenging problems and delivering production-ready models, dashboards, and automated workflows that empower decision-makers while maintaining governance and responsible AI practices.…Hello! I'm Sujan Puvvada, a data scientist and AI/ML engineer with 11+ years of experience focusing on ML engineering, Generative AI, and NLP. I thrive on turning complex data into actionable insights and building scalable AI systems that deliver real business value. I enjoy collaborating with cross-functional teams to solve challenging problems and delivering production-ready models, dashboards, and automated workflows that empower decision-makers while maintaining governance and responsible AI practices.

Available to hire

Hello! I’m Sujan Puvvada, a data scientist and AI/ML engineer with 11+ years of experience focusing on ML engineering, Generative AI, and NLP. I thrive on turning complex data into actionable insights and building scalable AI systems that deliver real business value.

I enjoy collaborating with cross-functional teams to solve challenging problems and delivering production-ready models, dashboards, and automated workflows that empower decision-makers while maintaining governance and responsible AI practices.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Data Scientist at Fidelity Investments

August 1, 2022 - Present

Leading the design and deployment of enterprise AI, Generative AI, and advanced analytics solutions within a financial investment environment, leveraging Azure cloud, large language models, and scalable data engineering platforms to improve risk analysis, operational efficiency, investment insights, compliance monitoring, and intelligent decision support. Engineered end-to-end ML pipelines processing terabytes of structured and unstructured data, performed feature engineering, built time-series forecasting models, and implemented explainability with SHAP/LIME. Designed Retrieval-Augmented Generation (RAG) solutions with LangChain, FAISS, and Azure Cognitive Search for context-aware financial research and knowledge management. Implemented agentic AI architectures (A2A) with MCP protocols, integrated with enterprise APIs and databases, and deployed containerized microservices via FastAPI in production.

AI Engineer at Anthem Blue Cross Blue Shield

December 1, 2018 - July 1, 2022

Full-stack AI engineering on AWS to automate enterprise workflows, build document intelligence platforms, and deliver NLP-based automation. Designed intelligent workflow orchestration systems using graph traversal and A* search to optimize task routing, dependency analysis, and operational workflow execution. Developed semantic network-based knowledge representations, integrated expert systems to improve contextual recommendations, and built scalable ML pipelines on SageMaker and EC2. Implemented NLP pipelines with spaCy and transformer models, created document intelligence and retrieval pipelines, and deployed model monitoring and governance practices.

Data Engineer at Goldman Sachs

May 1, 2016 - November 1, 2018

Designed and developed applications within the data lake architecture, integrating multiple data sources into the Hadoop ecosystem (HDFS, HBase, Kafka) for real-time streaming and ingestion. Optimized Hive query performance, built scalable ETL pipelines with Spark, Hive, and Airflow, and orchestrated data ingestion from diverse formats. Implemented data warehouses (Redshift/Athena), contributed to Databricks-based training pipelines, and built dashboards in Tableau for business insights. Collaborated with data scientists to accelerate ML training and maintained data quality through profiling and governance.

Data Engineer at Honeywell

January 1, 2014 - April 1, 2016

Primary ETL developer across multiple product initiatives, delivering scalable data integration solutions using Informatica PowerCenter and SSIS, migrating on-prem ETL pipelines to cloud-native architectures (IICS). Built scalable data pipelines, data catalogs, and governance processes, and supported fraud detection and operational analytics. Developed NLP pipelines (spaCy, Transformers) for sentiment and ticket categorization, and contributed to big data integration with Hadoop ecosystem components (HDFS, Hive, Spark, Kafka). Implemented and tuned data processing workflows and automated testing and validation scripts.