Vishwesh Bhat

Developed Python-based automation components for the Accounts Payable Automation Tool (APAT) across cloud environments and event-driven backend systems. Implemented advanced LLM interaction strategies, including function/tool calling and prompt engineering, to optimize task automation and built JSON-driven backend flows integrating OCR/Document Intelligence. Designed and delivered scalable automation pipelines using Python, leveraging async, multithreading, and multiprocessing for performance optimization. Built robust APIs using FastAPI and integrated GoRules BRE for dynamic business rule execution. Managed diverse cloud-native components, including OAuth2.0/Okta SSO, SonarQube scanning, RabbitMQ communication, and Cosmos DB.

Led the development of multiple accelerators resulting in significant cost and effort savings for Capgemini and clients. Led on-premise LLM integration using Ollama with IBM Granite for secure enterprise applications, including implementing automated prompt redacting for sensitive data protection. Optimized ETL pipelines built with Python (SQLAlchemy, Pandas, PySpark), implementing parallelism via multiprocessing and multithreading. Automated manual Data Engineering processes and integrated Generative AI features for improved reporting scenarios. Provided technical guidance and mentorship to junior team members.

Collaborated on ETL logic and development on IICS, ensuring data integrity and testing pipeline stability on a mass cloud data migration project for a renowned automotive client. Optimized Informatica assets for better performance, performed data validation, ETL fixes, monitoring and reporting. Collaborated post deployment in the quality assurance phase, ensuring smooth functioning of production assets and periodic data quality checks. Automated multiple repetitive tasks using Python to make reporting and data validation easier for the monitoring team.

Collaborated on ETL logic and development using Informatica IICS/IDMC, ensuring data integrity and pipeline stability during a mass cloud data migration project. Optimized Informatica assets for better performance and managed post-deployment quality assurance. Automated multiple repetitive and redundant tasks during the QA phase using Python, streamlining reporting and data validation processes.

Served as a Technical Mentor during 2 Generative AI hackathons, providing technical setup, ideation support, and distributing documentation on platforms like Cohere, OpenAI, Google Gemini, and Vertex AI.