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I’m a Gen AI Engineer with 4+ years of hands-on experience building production-grade AI solutions across healthcare, finance, and technology. I design and deploy end-to-end AI systems, from data pipelines and MLOps to NLP, computer vision, and multimodal models, with a focus on reliability, security, and measurable impact. I’m comfortable collaborating with cross-functional teams, turning business needs into scalable AI workflows, and communicating complex results through interactive dashboards. I’m passionate about responsible AI, HIPAA-compliant data handling, and delivering practical, user-friendly AI tools that support clinicians and operators.…I’m a Gen AI Engineer with 4+ years of hands-on experience building production-grade AI solutions across healthcare, finance, and technology. I design and deploy end-to-end AI systems, from data pipelines and MLOps to NLP, computer vision, and multimodal models, with a focus on reliability, security, and measurable impact. I’m comfortable collaborating with cross-functional teams, turning business needs into scalable AI workflows, and communicating complex results through interactive dashboards. I’m passionate about responsible AI, HIPAA-compliant data handling, and delivering practical, user-friendly AI tools that support clinicians and operators.

Prasanna Rushi Dussa

AI Engineer, Data Scientist, Web Developer, +2

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I’m a Gen AI Engineer with 4+ years of hands-on experience building production-grade AI solutions across healthcare, finance, and technology. I design and deploy end-to-end AI systems, from data pipelines and MLOps to NLP, computer vision, and multimodal models, with a focus on reliability, security, and measurable impact. I’m comfortable collaborating with cross-functional teams, turning business needs into scalable AI workflows, and communicating complex results through interactive dashboards. I’m passionate about responsible AI, HIPAA-compliant data handling, and delivering practical, user-friendly AI tools that support clinicians and operators.…I’m a Gen AI Engineer with 4+ years of hands-on experience building production-grade AI solutions across healthcare, finance, and technology. I design and deploy end-to-end AI systems, from data pipelines and MLOps to NLP, computer vision, and multimodal models, with a focus on reliability, security, and measurable impact. I’m comfortable collaborating with cross-functional teams, turning business needs into scalable AI workflows, and communicating complex results through interactive dashboards. I’m passionate about responsible AI, HIPAA-compliant data handling, and delivering practical, user-friendly AI tools that support clinicians and operators.

Available to hire

I’m a Gen AI Engineer with 4+ years of hands-on experience building production-grade AI solutions across healthcare, finance, and technology. I design and deploy end-to-end AI systems, from data pipelines and MLOps to NLP, computer vision, and multimodal models, with a focus on reliability, security, and measurable impact.

I’m comfortable collaborating with cross-functional teams, turning business needs into scalable AI workflows, and communicating complex results through interactive dashboards. I’m passionate about responsible AI, HIPAA-compliant data handling, and delivering practical, user-friendly AI tools that support clinicians and operators.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Gen AI Engineer at Blue Cross Blue Shield, USA

May 1, 2024 - Present

Developed real-time generative AI risk models using Python, SQL, PyTorch, Hugging Face Transformers, LangChain, and LlamaIndex, combining CNNs, transformers, and RAG pipelines for actionable patient insights. Built scalable healthcare data pipelines with Apache Spark, MLflow, and vector databases (FAISS/ChromaDB) enabling continuous model training, anomaly detection, and real-time monitoring of predictive workflows. Implemented NLP pipelines for text generation and Named Entity Recognition (NER) on unstructured clinical notes to support care teams. Designed supervised learning and reinforcement learning approaches on AWS SageMaker with Docker, focusing on LoRA fine-tuning and HIPAA-compliant pipelines. Created dashboards with Tableau/Plotly to visualize predictions, risk scores, and generative AI outputs to accelerate clinical decisions and patient engagement.

AI/ML Engineer at Capgemini

January 1, 2021 - July 1, 2023

Developed AI-driven credit risk prediction and portfolio optimization models using Python, Scikit-learn, XGBoost, LSTM, and RNNs. Engineered end-to-end data pipelines with Pandas, Statsmodels, GCP Vertex AI, and Kafka for scalable processing, real-time anomaly detection, and automated analytics. Built NLP/LLM-powered solutions including sentiment analysis pipelines and financial chatbots for automated reporting and decision support. Deployed time-series forecasting via RNNs with Airflow and CI/CD pipelines, delivering production-ready AI systems. Created interactive dashboards with Power BI, Seaborn, and LLMS for portfolio analysis, risk alerts, and scenario simulations.