Professional
Employments, Training, and Certifications
Employments, Training, and Certifications
Designed and deployed an asynchronous AI system that processes large Excel-based RFP files and generates structured responses for downstream business workflows. The solution extracts requirements, batches them for scalable LLM processing, validates outputs, and writes responses back into Excel files for end users.
Built using Azure Functions, Durable Functions, Power Automate, Azure OpenAI, and SharePoint integrations to support long-running jobs and large requirement datasets.
Impact:
Reduced manual proposal response time
Automated high-volume requirement processing
Built scalable infrastructure capable of processing high-volume requirement files
Designed and deployed an AI-powered document processing pipeline that extracts structured financial data from remittance PDFs.
The solution combines OCR, document parsing, chunking logic, and LLM-based extraction to process complex remittance documents—including files containing multiple remittances—and transform them into structured JSON outputs for downstream systems.
Built using Azure Functions, Azure OpenAI, PDF processing libraries, OCR workflows, and API integrations.
Impact:
Reduced manual remittance processing
Improved extraction consistency
Enabled scalable processing of complex financial documents
Designed and deployed a retrieval-based AI assistant that provides context-aware responses to customer and internal teams by leveraging product documentation, support cases, QA scenarios, and application documentation.
Built using Azure AI Search, Azure OpenAI, structured document indexing, and web integration.
Impact:
Automated first-line support interactions
Reduced unnecessary escalations
Created centralized knowledge access for internal teams.
Designed and deployed production AI systems on Azure, including:
LLM-powered document processing pipelines for structured data extraction
End-to-end workflows integrating Azure Functions, OpenAI, and business applications
Architecture decisions across data ingestion, model selection (ML vs LLM), and deployment
Impact:
Automated document-heavy workflows
Reduced manual processing and improved data accuracy
January 2024-Date
Contributed to the design and implementation of data-driven solutions across the full development lifecycle
Worked with SQL and relational databases to extract, transform, and analyze data supporting business operations
Obtained customer requirements for customizations and led solution design.
Oct 2022 - Jan 2024
Led data-driven restructuring of business processes across finance, inventory, and data management functions
Automated reporting workflows using Power BI and Excel, improving efficiency and visibility
June 2018-May 2021
Taugh business and statistics courses for graduate and undergraduate programs.
Business Finance, Statistics, Investments, others - Undergraduate business programs.
January 2015- July 2021
July 2023