I am a Gen AI Engineer with over nine years of experience specializing in developing, fine-tuning, and deploying large language model-powered applications, generative AI pipelines, and multi-modal models across diverse domains. I have a passion for advancing generative AI research and applications, including diffusion models, transformers, and AI safety. I collaborate closely with cross-functional teams to translate business needs into impactful AI-driven solutions, improving workflow automation, personalization, and decision-making. I am highly skilled in building retrieval-augmented generation systems, fine-tuning large language models, and implementing scalable AI deployments on cloud platforms like AWS, Azure, and GCP using modern MLOps practices. I have hands-on experience with text-to-image and text-to-speech generative models and am dedicated to ethical and responsible AI deployment in enterprise environments.

Bhavana Gaddam

I am a Gen AI Engineer with over nine years of experience specializing in developing, fine-tuning, and deploying large language model-powered applications, generative AI pipelines, and multi-modal models across diverse domains. I have a passion for advancing generative AI research and applications, including diffusion models, transformers, and AI safety. I collaborate closely with cross-functional teams to translate business needs into impactful AI-driven solutions, improving workflow automation, personalization, and decision-making. I am highly skilled in building retrieval-augmented generation systems, fine-tuning large language models, and implementing scalable AI deployments on cloud platforms like AWS, Azure, and GCP using modern MLOps practices. I have hands-on experience with text-to-image and text-to-speech generative models and am dedicated to ethical and responsible AI deployment in enterprise environments.

Available to hire

I am a Gen AI Engineer with over nine years of experience specializing in developing, fine-tuning, and deploying large language model-powered applications, generative AI pipelines, and multi-modal models across diverse domains. I have a passion for advancing generative AI research and applications, including diffusion models, transformers, and AI safety. I collaborate closely with cross-functional teams to translate business needs into impactful AI-driven solutions, improving workflow automation, personalization, and decision-making.

I am highly skilled in building retrieval-augmented generation systems, fine-tuning large language models, and implementing scalable AI deployments on cloud platforms like AWS, Azure, and GCP using modern MLOps practices. I have hands-on experience with text-to-image and text-to-speech generative models and am dedicated to ethical and responsible AI deployment in enterprise environments.

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Experience Level

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Work Experience

Gen AI Engineer at AgFirst
May 1, 2024 - Present
Built and deployed advanced retrieval-augmented generation pipelines integrating large language models with vector databases for semantic search, intelligent assistants, and recommendation systems. Developed generative AI pipelines using diffusion models and multi-modal models like Stable Diffusion and DALL·E. Deployed scalable AI solutions on cloud platforms using MLOps with Docker, Kubernetes, and CI/CD. Implemented hybrid retrieval and knowledge graph integration to enhance AI reasoning and enterprise knowledge management. Collaborated with cross-functional teams to translate business challenges into scalable AI solutions, built multi-agent conversational AI systems, and applied AI safety and ethical practices for responsible deployment.
AI Engineer at Delta Airlines
April 30, 2024 - September 5, 2025
Designed, developed, and deployed machine learning and deep learning models for NLP, computer vision, forecasting, and recommendation to solve business and operational challenges. Built NLP pipelines for sentiment analysis, entity recognition, and text classification. Implemented predictive maintenance, anomaly detection, and customer segmentation models. Used cloud platforms for scalable AI deployments and practiced MLOps with CI/CD, Docker, and Kubernetes. Created knowledge graphs and performed data visualization to present AI insights. Collaborated with cross-functional teams for efficient AI integration to improve decision-making.
Data Scientist at HCA Healthcare
September 30, 2022 - September 5, 2025
Built and deployed machine learning models for classification, regression, clustering, and recommendation to drive business insights and improve KPIs. Applied deep learning for text, image, and time-series analysis. Developed NLP pipelines for sentiment analysis, summarization, and text classification. Engineered features for fraud detection and anomaly detection using advanced models. Automated ETL pipelines and deployed AI models as REST APIs with AWS Lambda and SageMaker. Managed data governance and security to ensure compliance with healthcare regulations. Used real-time streaming for immediate fraud detection and conducted continuous model retraining with MLOps practices.
Data Scientist at Berkshire Hathaway
March 31, 2020 - September 5, 2025
Developed real-time predictive models and performed unsupervised learning for customer behavior, sales forecasting, and inventory optimization. Conducted feature importance and model interpretability analyses. Automated reporting and created interactive dashboards to monitor KPIs. Designed scalable data pipelines and applied clustering for customer segmentation. Managed ETL and MLOps pipelines for model deployment and monitoring. Collaborated with business and technical teams to translate business needs into data science solutions, including fraud detection and loan default prediction.
Data Analyst at Innova Solutions
July 31, 2018 - September 5, 2025
Collaborated with SMEs to develop data models and designed interactive dashboards for KPIs and operational performance using Tableau and Power BI. Wrote complex SQL queries and performed statistical analysis to derive business insights. Migrated legacy reporting solutions to modern BI platforms to improve analytics automation. Developed ETL pipelines with SSIS and optimized data warehouse architecture with star and snowflake schemas. Automated data processes with PL/SQL and ensured data quality and integrity. Supported business users with customized reports and data validation.

Education

Bachelor’s In Information Technology at Jawaharlal Nehru Technological University
January 11, 2030 - September 5, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Transportation & Logistics, Financial Services, Agriculture & Mining