Nithish Suresh Babu
AI Engineer with 7+ years of experience building agentic AI systems, financial automation pipelines, and reusable AI accelerators. End-to-end owner across discovery, architecture, and production deployment.
Who I Am
I'm a Lead AI Engineer with 7+ years of experience building agentic AI systems, financial automation pipelines, and reusable AI accelerators for PE-backed portfolio companies and enterprise clients. I hold a Master's in Computer and Information Science from the University of Michigan.
I specialize in end-to-end AI solution delivery—from discovery and architecture to production deployment. Deep expertise in LLM orchestration (LangGraph, LangChain), Salesforce integrations, and cloud-native data engineering on AWS and Azure.
I'm an active open-source contributor to Google's go-github library, where I've implemented new API methods for GitHub Enterprise. Selected as People's Choice of the Year 2025 by Google Cloud Developers for building an AI Voice Agent that automates insurance quoting via phone calls.
Tech Stack
Project Highlights
ARR/NARR Calculator
AI-powered automated calculator replacing manual finance ops work
Days to seconds calculation time
Revenue Leakage Accelerator
Document intelligence tool for contract-vs-invoice discrepancies
Quantifiable revenue leakage KPIs
RAG Job Matching Pipeline
AI-powered job recommendations using semantic understanding
Improved match accuracy over text search
Aviation Insurance Workflow
Temporal-powered document generation for private jet policies
30-branch decision tree automation
Recent Projects
Here are some of my recent projects showcasing Go backend development, cloud deployments, and full-stack applications.
Experience
My professional journey and the companies I've had the privilege to work with.
Lead AI Engineer
CurrentArchitected and sole-developed an AI-powered ARR/NARR Calculator replacing a manual process handled by 5–10 finance ops staff, reducing calculation time from days to seconds. Engineered a trigger-based LangGraph pipeline that activates on Salesforce Opportunity stage change, resolves complex deal lineage (renewals, amendments, upgrades), and writes computed ARR/NARR matrices directly back to Salesforce. Eliminated 1–3 hrs of daily manual FP&A effort by building a fully automated report pipeline ingesting Salesforce and NetSuite data and delivering daily outputs to SharePoint via Microsoft Graph API.
Software Development Engineer - GenAI
Architected RAG based job matching pipeline using Gemini 2.5 Flash that ingests user resume from AWS S3 and queries relevant job descriptions from AWS Bedrock knowledge base, generating personalised job recommendations. Built a secure, multi-tenant backend with FastAPI and responsive frontend with Next.js, ensuring strict data isolation.
Software Developer
Re-architected a document generation workflow for an aviation insurance platform using Temporal to manage a complex 30-branch decision tree for private jet insurance policies. Replaced a fragmented, database-backed state machine with a durable workflow model.
Skills & Technologies
Comprehensive tech stack spanning frontend, backend, cloud, and AI. Each skill shows real-world projects where it's applied.
Also experienced with: