Automation Supervisor at Cargill, achieved $2.8 million in annual savings through implementation of over 300 automation solutions. Skilled in team development, business case creation, and cross-functional collaboration. Engineered impactful projects utilizing Generative AI, Python-based OCR, and hybrid technology solutions. Committed to fostering continuous improvement and mentorship within teams.
Delivered over 300 automation solutions within four years, generating an average annual business value of $2.8 million—achieving nearly 3x return on investment relative to team resource costs., Led full lifecycle automation initiatives, from process discovery and feasibility analysis to solution deployment and hyper care support, ensuring alignment with business objectives., Engineered automation solutions across HR, Finance, Trade Execution, and Operations using Microsoft Power Automate, Power Apps, and RPA tools to streamline workflows and reduce manual effort., Developed interactive dashboards using Power BI for real-time KPI tracking, workload distribution, and performance analytics., Standardized automation delivery by creating reusable components, governance templates, and documentation frameworks to ensure scalability and maintainability., Collaborated with business stakeholders to identify high-impact automation opportunities, define requirements, and prioritize implementation based on ROI and feasibility., Provided post-deployment support and continuous improvement, incorporating feedback loops, performance monitoring, and iterative enhancements.
Solid foundation in AI/ML concepts including supervised/unsupervised learning, NLP, deep learning, and model evaluation. Familiar with algorithms like neural networks, decision trees, and clustering techniques. Skilled in feature engineering, vector embeddings, and prompt tuning. Understanding of MLOps, model deployment, and ethical AI principles., Led the end-to-end orchestration of an OpenAI-powered chatbot, from use case identification to deployment and continuous improvement., Designed intelligent conversation flows, integrated enterprise APIs, and applied advanced prompt engineering techniques to ensure contextual accuracy, relevance, and alignment with business objectives., Leveraged Pinecone for real-time vector-based semantic search, enabling context-aware and memory-driven responses., Designed and developed the solution across two different platforms, namely MS Copilot and OpenAI, to perform a comparative analysis on performance, scalability, and user experience, enabling data-driven decisions on optimal architecture., Deploying the solution using Captain for a scalable, containerized rollout and managed secure system integration through a middleware gateway., Knowledge Agent – JDE E1, Knowledge Agent – Process