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I am a passionate Generative AI Engineer with over 10 years of experience delivering AI/ML, data science, and full-stack solutions across various sectors including healthcare, retail, finance, and energy. I specialize in large language models, multimodal AI, and retrieval-augmented generation, focusing on enterprise-scale deployments that drive measurable business outcomes. My hands-on expertise ranges from Python programming and AI frameworks to cloud-based MLOps, real-time inference pipelines, and innovative AI research. I thrive in creating scalable, compliant AI systems and mentoring teams on emerging AI technologies and responsible practices. With a strong background in fine-tuning advanced models, developing observability dashboards, and designing secure multi-cloud infrastructures, I am dedicated to advancing AI adoption and delivering impactful automation solutions that enhance organizational efficiency and decision-making.…I am a passionate Generative AI Engineer with over 10 years of experience delivering AI/ML, data science, and full-stack solutions across various sectors including healthcare, retail, finance, and energy. I specialize in large language models, multimodal AI, and retrieval-augmented generation, focusing on enterprise-scale deployments that drive measurable business outcomes. My hands-on expertise ranges from Python programming and AI frameworks to cloud-based MLOps, real-time inference pipelines, and innovative AI research. I thrive in creating scalable, compliant AI systems and mentoring teams on emerging AI technologies and responsible practices. With a strong background in fine-tuning advanced models, developing observability dashboards, and designing secure multi-cloud infrastructures, I am dedicated to advancing AI adoption and delivering impactful automation solutions that enhance organizational efficiency and decision-making.

Jayasri Sanka

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

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I am a passionate Generative AI Engineer with over 10 years of experience delivering AI/ML, data science, and full-stack solutions across various sectors including healthcare, retail, finance, and energy. I specialize in large language models, multimodal AI, and retrieval-augmented generation, focusing on enterprise-scale deployments that drive measurable business outcomes. My hands-on expertise ranges from Python programming and AI frameworks to cloud-based MLOps, real-time inference pipelines, and innovative AI research. I thrive in creating scalable, compliant AI systems and mentoring teams on emerging AI technologies and responsible practices. With a strong background in fine-tuning advanced models, developing observability dashboards, and designing secure multi-cloud infrastructures, I am dedicated to advancing AI adoption and delivering impactful automation solutions that enhance organizational efficiency and decision-making.…I am a passionate Generative AI Engineer with over 10 years of experience delivering AI/ML, data science, and full-stack solutions across various sectors including healthcare, retail, finance, and energy. I specialize in large language models, multimodal AI, and retrieval-augmented generation, focusing on enterprise-scale deployments that drive measurable business outcomes. My hands-on expertise ranges from Python programming and AI frameworks to cloud-based MLOps, real-time inference pipelines, and innovative AI research. I thrive in creating scalable, compliant AI systems and mentoring teams on emerging AI technologies and responsible practices. With a strong background in fine-tuning advanced models, developing observability dashboards, and designing secure multi-cloud infrastructures, I am dedicated to advancing AI adoption and delivering impactful automation solutions that enhance organizational efficiency and decision-making.

Available to hire

I am a passionate Generative AI Engineer with over 10 years of experience delivering AI/ML, data science, and full-stack solutions across various sectors including healthcare, retail, finance, and energy. I specialize in large language models, multimodal AI, and retrieval-augmented generation, focusing on enterprise-scale deployments that drive measurable business outcomes. My hands-on expertise ranges from Python programming and AI frameworks to cloud-based MLOps, real-time inference pipelines, and innovative AI research.

I thrive in creating scalable, compliant AI systems and mentoring teams on emerging AI technologies and responsible practices. With a strong background in fine-tuning advanced models, developing observability dashboards, and designing secure multi-cloud infrastructures, I am dedicated to advancing AI adoption and delivering impactful automation solutions that enhance organizational efficiency and decision-making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Gen AI Engineer at Humana

June 1, 2024 - Present

Designed and deployed LLM-powered knowledge retrieval and automation platform in healthcare to consolidate policy documents and expedite audit readiness. Built optimized RAG pipelines and automated multilingual extraction workflows reducing manual workloads significantly. Developed enterprise chatbots integrated with persistent memory and SQL handling, improving compliance and decision-making speed. Managed cloud deployments with cost and latency optimization, multi-cloud inference strategies, and compliance-aligned AI outputs. Delivered training on GenAI best practices, built observability dashboards, and automated infrastructure provisioning to ensure scalable and secure AI deployments.

Gen AI Engineer / Data Scientist at Macy's

May 31, 2024 - August 26, 2025

Developed AI pipelines for personalization, fraud detection, and forecasting, achieving significant improvements in CTR and loss reduction. Built RAG pipelines for semantic product search with multimodal embeddings and fine-tuned deep learning models for product tagging and recommendations. Implemented real-time inference pipelines and automated retraining systems, integrated NLP for customer insights, and enhanced monitoring for fraud management. Prototyped LLM copilots and implemented multi-cloud AI operations, contributing to business-aligned AI governance and model performance validation.

AI/ML Engineer at U.S. Bancorp

August 31, 2022 - August 26, 2025

Designed fraud detection and loan risk prediction models improving accuracy and reducing false positives. Engineered ETL pipelines for data ingestion and deployed real-time fraud scoring APIs integrated into banking applications. Automated retraining pipelines and delivered interactive dashboards for risk management. Leveraged distributed Spark-based analytics and adversarial modeling to enhance system resilience. Developed production monitoring and compliance audit frameworks supporting regulatory adherence and operational reliability.

Data Scientist at Marathon Petroleum

April 30, 2020 - August 26, 2025

Built demand forecasting and price optimization platform for retail fuel stations, significantly reducing forecast error and improving margins. Created real-time ETL pipelines integrating diverse data sources and developed predictive feature engineering processes. Delivered model deployment services and interactive what-if scenario simulators, improving decision agility. Developed executive dashboards with advanced analytics and explainability, automated deployments and monitoring, and introduced federated learning for privacy-preserving modeling. Achieved measurable margin uplift and reduced downtime with enhanced monitoring.

Python Developer at Innova Solutions

June 30, 2017 - August 26, 2025

Designed and developed a centralized analytics platform integrating Salesforce, SAP, and internal data, drastically reducing reporting cycles and manual efforts. Built ETL pipelines, backend REST APIs, and interactive dashboards for operational KPIs. Containerized services and implemented CI/CD pipelines to improve deployment reliability. Migrated legacy scripts to Python utilities and integrated cloud event-driven microservices. Enhanced code quality via automated testing and peer reviews, enabling self-service analytics and improving data accuracy across business units.