Hey!
I'm Sid Jaiswal, a Product leader building Agentic AI systems — LLMs, RAG pipelines, and AI Agents that ship to production.
Designed and shipped Agentic AI systems using LangChain & Anthropic Agent SDK to automate loan underwriting decisions on a platform processing $20M+ monthly. Reduced manual effort by 80% and cut origination-to-closing from 7 days to 2 days.
Applied RAG Architecture and Prompt Engineering principles to build AI Agents across the origination platform, automating business functions with 92% accuracy. Leveraged vector search and retrieval pipelines to ground LLM responses in proprietary loan data.
Agent Assisted Development and deployed an LLM-based test data generation tool using Claude Code and Cursor Agents, used by 50+ team members. Reduced manual testing effort by 80% and accelerated ideation-to-production timelines by 60%.
Architected a real-time predictive ETA system trained on 1M+ data points (94% accuracy) and managed 300+ feature flags via LaunchDarkly. Data-driven prioritization reduced support queries by 45%.
Co-founded a Procurement & Spend Management SaaS. Executed an 18-month roadmap onboarding 15 enterprises in Q1. Built an OCR/ML invoice workflow reducing data entry by 80%. Generated $1M ARR in 12 months via land-and-expand strategy.
- Agentic AI
- LLM Product Design
- RAG Systems
- Prompt Engineering
- AI Agents
- Human-in-the-Loop
- LangChain
- Anthropic SDK
- MLOps
- LLMOps
- Vector Databases
- Fine-tuning
- AI Product Strategy
- Requirement Gathering
- Product Roadmap
- Backlog Management
- User Stories
- A/B Tests
- Gap Analysis
- Design Thinking
- UAT / BAT
- Releases Mgmt
- Market Research
- JIRA
- Confluence
- Figma
- Lucidchart
- MIRO
- Power BI
- Tableau
- Google Analytics
- LaunchDarkly
- SharePoint
- Python
- JavaScript
- SQL
- AWS
- LangChain
- RAG Architecture
- OpenAI API
- Anthropic API