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AI Projects
PRD Genie- AI powered Product Documentation Assistant
Focus : Architected an enterprise-grade agentic workflow that transforms raw meeting transcripts or notes into engineering-ready PRDs, persona-based Agile backlogs, or Gap Reports

Impact:
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90% Productivity Boost: Compressed document creation time from 8+ hours to under 2 minutes of pipeline execution (< 30 minutes end-to-end).
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75% Cost Reduction: Model tiering reduced average execution cost from $0.18 to $0.045–$0.050 per run.
View more on system design, solution demo, scaling strategies and templates on Git . Hit the Read more button.
Slack Project Status Chatbot
Focus : Built a production-style AI chatbot in n8n that integrates Slack events, Google Sheets project data, and OpenAI LLM execution to automate status retrieval for TPMs and Product Managers across multi-account programs.

Impact:
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Eliminated Information Gathering Overhead: Drastically reduced delays in retrieving multi-stakeholder project updates, enabling faster risk identification and proactive mitigation planning.
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Production-Ready AI Governance: Demonstrated how AI product architecture and system design establish reliable, deterministic control over distributed LLM workflows in an enterprise Slack ecosystem
View more on system design, solution demo, scaling strategies and templates on Git . Hit the Read more button.
Multi Modal AI Orchestration
Focus : Implemented an autonomous Perceive-Reason-Act architecture to orchestrate cross-functional data retrieval via voice infrastructure.
Impact :
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Operational Speed: Reduced manual data triage and analysis latencies from 30–60 minutes down to near-instantaneous execution.
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Persona-Driven Delivery: Built an unified voice interface using customized token-routing strategies to switch between leadership-crisp and support-empathetic brand tones dynamically.

View more on system design, solution demo, scaling strategies and templates on Git . Hit the Read more button.
AI Quality Governance: Support Ticket Agentic Workflow Evaluation
Focus: Built an enterprise customer support ticket classifier and responder in Langflow integrated with Langfuse for end-to-end trace telemetry, enabling full visibility into individual agent decisions across non-deterministic workflows

Impact:
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33% Gain in Faithfulness Score: Shifted output faithfulness from 0.6 (Baseline) to 0.8 (Optimized Version), measurably validating response quality and accuracy prior to production deployment.
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Hallucination Risk Mitigation: Eliminated fabricated responses over N Test Cases on unapproved billing actions or vague user queries, setting a repeatable blueprint for deploying high-trust, production-ready AI agents
View more on system design, solution demo, scaling strategies and templates on Git . Hit the Read more button.
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