Architected and shipped an AI-driven Story Board system that transforms tagged customer reviews into multi-format narratives (articles, social captions, quote graphics), owning FastAPI orchestration, review-tag grouping, AI content synthesis, and React/Next.js dashboards and org-preview UIs. Designed and operationalized automated PR and news content workflows by embedding a Gemini-powered PR Communication Analyst agent into scheduled pipelines, generating brand-voice–consistent content guidelines and social posts at scale and substantially reducing manual drafting effort. Owned end-to-end development of core platform features, including backend microservices (FastAPI, Redis, Firestore/SQL) and frontend UIs (React/Next.js) with rich content editing, carousels, and asset management. Integrated multi-agent AI pipelines with event-driven orchestration, applying concurrency controls for DB/LLM workloads and workload partitioning to improve throughput and reliability of content generation

Software Developer at Ottenweller Company Inc.

February 1, 2024 - September 1, 2025

Built a Python-based backend system for an Agentic AI-powered Accounts Payable Automation Platform, orchestrating LLM agents using LangChain, LangGraph, and RAG with FAISS vector indexes. Delivered full-stack functionality including user-facing dashboards, and developed specialized agents for document parsing, compliance verification, payment scheduling, and ERP/vendor API integration—reducing invoice processing time by 60% and improving accuracy by 40%. Implemented backend services in Python (FastAPI) for AI orchestration and C# / ASP.NET Core for enterprise integration, enabling secure interoperability with ERP systems and EDI tools via REST APIs and file parsers and caching mechanisms to reduce API latency. Deployed and maintained the platform on Azure Functions, Azure AI Foundry, App Service, and Blob Storage, with Git-integrated CI/CD pipelines ensuring scalable and fault-tolerant operations.

Software Engineer at LTIMindtree

October 1, 2020 - August 1, 2022

Contributed to the Connected Elevator project as a full-stack developer, building Kafka-based real-time data streaming pipelines to ingest and process high-frequency telemetry from global elevator IoT sensors. Developed backend services to manage ingestion workflows and integrated with Azure-based storage and analytics layers. Developed resilient Kafka consumer workflows with concurrent processing and integrated dead-letter queues (DLQs) to ensure fault-tolerant message handling and observability of failed events. Handled heavy data processing pipelines by tuning Kafka’s replication factor, partitioning strategy, and broker configurations to meet high availability (HA) and disaster recovery (DR) objectives across production clusters. Ensured exactly-once processing semantics (EOS) using Kafka transactional APIs. Worked closely with the Pentaho ETL and Azure teams to streamline Kafka topic structures with downstream data transformation and storage layers, enabling consistent schema ev