- Lead design and development of a Generative AI multi-agent system involving advanced RAG techniques, text to SQL and text to code implementations in a GCP Cloud Run, CI/CD environment.- Lead workflow on production of Generative AI multi-agent system. The solution used Mistral, SAP, and Nvidia NIM. - Tools: Docker, Python, React, Langchain, SQL, Spark, OpenAI Code Interpreter, Python Repl, GPT, Gemini, Gemini Code Extensions, GCP Cloud Build, Generative AI System Design, Vertex AI… Show more - Lead design and development of a Generative AI multi-agent system involving advanced RAG techniques, text to SQL and text to code implementations in a GCP Cloud Run, CI/CD environment.- Lead workflow on production of Generative AI multi-agent system. The solution used Mistral, SAP, and Nvidia NIM. - Tools: Docker, Python, React, Langchain, SQL, Spark, OpenAI Code Interpreter, Python Repl, GPT, Gemini, Gemini Code Extensions, GCP Cloud Build, Generative AI System Design, Vertex AI, GCP, Cloud Run, Nvidia Nim, Mistral, Llama. Show less

deep learning, MLOps, AWS ML, Azure ML, AWS Lambda

- Built a multi-agent retrieval augmented generation solution using AWS Lambda, CosmoDB and Bedrock, langchain agents and knowledge base techniques to produce a customer rep QA chatbot that provided instant access to chat history and 1000% improvement in product recommendation speed. - Optimized the models, DataOPs and MLOPs for several churn and customer score solutions using MLFlow, Azure Synapse and ML Studio, Spark, XGBoost, and Azure parallel computing jobs. Later integrating this… Show more - Built a multi-agent retrieval augmented generation solution using AWS Lambda, CosmoDB and Bedrock, langchain agents and knowledge base techniques to produce a customer rep QA chatbot that provided instant access to chat history and 1000% improvement in product recommendation speed. - Optimized the models, DataOPs and MLOPs for several churn and customer score solutions using MLFlow, Azure Synapse and ML Studio, Spark, XGBoost, and Azure parallel computing jobs. Later integrating this optimization to all upstream systems using linked services and API Data Science endpoints.- Created a customer lead automation tool using Azure Logic Apps including custom built Azure Functions allowing the company to improve lead time from months to a few minutes. - Developed an intelligent alert and monitoring tool in Informatica Powercenter using a combination of dynamic programming techniques, SQL and python allowing a fortune 100 telecom company to streamline the sale of 70,000 circuits.Produced interactive knowledge and people graph using NLP frameworks, Python, Networkx and web scraping tools to provide a 40% reduction in time to connect consultants to projects.- Developed a data science price elasticity model and Facebook Prophet forecast using AWS Sagemaker, Athena, and Glue along with python, statsmodel, matplotlib frameworks that gave an enterprise manufacturing company an additional $1M in revenue the following year. Show less

- Built an IAAS solution with Azure Virtual Workstations, Azure Server and thin clients for reduction in infrastructure and improved remote accessibility and security including deploying an on-premise proprietary software to Azure. - Created task automation solutions in Python, C++, .Net, BASH, Powershell and VBA including interfaces in Flask, React, Jupyter notebooks and AccessDB saving the company 100’s of hours of process cycles per week.- Developed a custom cloud migration and ETL… Show more - Built an IAAS solution with Azure Virtual Workstations, Azure Server and thin clients for reduction in infrastructure and improved remote accessibility and security including deploying an on-premise proprietary software to Azure. - Created task automation solutions in Python, C++, .Net, BASH, Powershell and VBA including interfaces in Flask, React, Jupyter notebooks and AccessDB saving the company 100’s of hours of process cycles per week.- Developed a custom cloud migration and ETL tool in python saving the company 100’s of hours in process cycles. Show less

Beyond Completing account reconciliations, AP, AR and Billing daily tasks, I found myself researching, designing and implementing business decisions, such as point of sale systems, improvements to accounting and data management practices, improved efficiencies in data import into accounting software.