I am an innovative AI Engineer with over 7 years of experience specializing in GenAI and NLP solutions across various sectors such as healthcare, finance, and enterprise platforms. I excel in working with Large Language Models, Retrieval Augmented Generation, and developing scalable AI pipelines on AWS and Azure. I adeptly manage full lifecycle AI application delivery, blending model engineering, cloud-native deployments, and user-centered design to accelerate product impact. My technical expertise spans machine learning, natural language processing, data engineering, and cloud computing technologies. I have a strong background in SQL optimization, automated AI workflows using Docker and Kubernetes, and building interactive dashboards to transform complex data into actionable insights. I collaborate effectively with cross-functional teams to align AI solutions with business objectives, continuously innovating and learning new technologies to solve complex problems efficiently.

SUPRAJA

I am an innovative AI Engineer with over 7 years of experience specializing in GenAI and NLP solutions across various sectors such as healthcare, finance, and enterprise platforms. I excel in working with Large Language Models, Retrieval Augmented Generation, and developing scalable AI pipelines on AWS and Azure. I adeptly manage full lifecycle AI application delivery, blending model engineering, cloud-native deployments, and user-centered design to accelerate product impact. My technical expertise spans machine learning, natural language processing, data engineering, and cloud computing technologies. I have a strong background in SQL optimization, automated AI workflows using Docker and Kubernetes, and building interactive dashboards to transform complex data into actionable insights. I collaborate effectively with cross-functional teams to align AI solutions with business objectives, continuously innovating and learning new technologies to solve complex problems efficiently.

Available to hire

I am an innovative AI Engineer with over 7 years of experience specializing in GenAI and NLP solutions across various sectors such as healthcare, finance, and enterprise platforms. I excel in working with Large Language Models, Retrieval Augmented Generation, and developing scalable AI pipelines on AWS and Azure. I adeptly manage full lifecycle AI application delivery, blending model engineering, cloud-native deployments, and user-centered design to accelerate product impact.

My technical expertise spans machine learning, natural language processing, data engineering, and cloud computing technologies. I have a strong background in SQL optimization, automated AI workflows using Docker and Kubernetes, and building interactive dashboards to transform complex data into actionable insights. I collaborate effectively with cross-functional teams to align AI solutions with business objectives, continuously innovating and learning new technologies to solve complex problems efficiently.

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Experience Level

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Intermediate

Work Experience

Gen AI Engineer at K12
December 1, 2022 - Present
Designed and deployed conversational AI solutions using OpenAI GPT, Hugging Face, and Google Dialogflow to enhance customer experience across sales and support. Fine-tuned large language models using Amazon Bedrock and HuggingFace Transformers, and implemented Retrieval Augmented Generation pipelines for domain-specific chatbots. Built scalable machine learning pipelines on AWS SageMaker and Databricks, reducing data processing time by 40%. Developed interactive dashboards with Plotly, Tableau, and Seaborn for real-time monitoring of warehouse KPIs and robotic performance. Streamlined CI/CD workflows using Docker, GitLab, and Kubernetes for rapid deployments. Engineered cloud-native ETL processes with Spark, Pandas, and PostgreSQL for stock exchange data transformation. Collaborated in Agile teams for testing and documentation, managing deployments in AWS and Google Cloud environments.
Python/AI Developer at Wells Fargo
November 30, 2022 - August 6, 2025
Delivered production-ready machine learning models for fraud detection, customer engagement, and operational forecasting. Developed conversational systems using ChatGPT for real-time support automation and NLP-driven customer insights. Created scalable data pipelines with Apache Airflow, SQL Server, and Python while automating daily data ingestion workflows. Implemented NLP algorithms for sentiment analysis and named entity recognition on financial documents. Managed model deployment and continuous training using Docker, CI/CD, and MLflow. Collaborated with cross-functional teams to integrate AI solutions into existing systems, enhancing operational efficiency. Maintained comprehensive documentation and user guides for deployed solutions.
Software Engineer at Deloitte
September 30, 2020 - August 6, 2025
Involved in full software development lifecycle including analysis, design, implementation, testing, and maintenance. Architected scalable Python applications and RESTful APIs supporting enterprise-wide digital transformation projects. Containerized microservices using Docker and Kubernetes to ensure performance and scalability in cloud environments. Led code reviews, mentored junior developers, and participated in Agile development cycles. Built custom dashboards and automation pipelines leveraging Python, SQL Server, and ReactJS. Designed RESTful APIs to support front-end applications and improve data retrieval performance. Conducted unit testing for software reliability and stability. Worked with Git for version control and participated in Agile ceremonies.

Education

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Qualifications

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Industry Experience

Healthcare, Financial Services, Education, Software & Internet