Product Engineer

Neeraj GS

I build AI-native products end to end — from customer discovery and product strategy to shipping the systems that run them. Today I lead product & platform for CredOS at Penomo, the operating system for intelligent private credit, where autonomous agents turn weeks of due diligence into hours.

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Penomo

The AI-Native Operating System for Intelligent Private Credit

Mar 2024 - Present Remote Fintech / Infrastructure Credit

Current Mar 2025 – Present · 1 yr 2 mos Full-time

Product Manager

I own product and platform for CredOS, Penomo's AI-native operating system for intelligent private credit. That means the full arc: customer discovery, roadmap, and the architecture behind a multi-tenant, multi-region agentic system that automates the investment lifecycle from deal sourcing to exit. I've shipped 20+ specialized agents that cut sourcing time by 70% and underwriting by 50%, running across US and EU with full data residency.

Product Strategy Roadmap & Delivery Agentic Systems LangGraph DSPy Temporal Multi-Tenant SaaS React.js TypeScript

9 months Jun 2024 - Feb 2025 Full-time

Full Stack Developer

Led development of Penomo's tokenized finance platform connecting global capital to renewable energy infrastructure. Architected smart contracts for real-world asset tokenization, built RESTful APIs for seamless blockchain integration, and engineered the complete frontend. Implemented KYC verification, real-time WebSocket communication, and cloud deployment on AWS.

React.js TypeScript Solidity Node.js Hardhat MongoDB web3.js Tokenization WebSocket Docker AWS IPFS REST APIs KYC Redis

3 months Mar 2024 - May 2024 Internship

Full Stack Developer Intern

Contributed to the development of Penomo's decentralized application, a platform enabling on-chain capital financing for real-world renewable energy infrastructure through tokenization. Built frontend components, integrated blockchain APIs, and worked with smart contracts in a production environment.

React.js TypeScript Solidity Node.js Hardhat MongoDB web3.js Tokenization Docker IPFS REST APIs

0 AI Agents Shipped

0 % Faster Sourcing

0 Projects Delivered

A product builder who ships end to end

I'm Neeraj, a product manager and full-stack engineer who likes turning ambiguous problems into products people actually use. I care about the whole journey: talking to customers, shaping the roadmap, designing the system, and shipping it to real users.

Today I lead product and platform for CredOS at Penomo, the AI-native operating system for intelligent private credit. I own it end to end, from customer discovery and product strategy to the multi-tenant, multi-region architecture behind it, working across US and EU with full data residency.

Along the way I've designed and shipped 20+ specialized AI agents that automate the investment lifecycle, from deal sourcing and document intelligence to underwriting and portfolio monitoring, cutting sourcing time by 70% and underwriting by 50%. I move fast, sweat the details, and care as much about the product experience as the engineering underneath it.

20+ AI agents shipped to production

I think in products, not just features.

I own the full arc: customer discovery, product strategy, roadmap, and delivery. I took CredOS from an idea to a live platform serving private-credit teams across two continents, obsessing over both the experience users feel and the systems that make it work. My favorite place to be is the seam where product decisions meet the code that ships them.

Agentic systems, not demos

I design multi-agent systems that do real work: reading data rooms, extracting deal intelligence, drafting investment memos with precise citations, and monitoring portfolios. All of it runs on durable workflows, so nothing fails silently and every step is traceable.

Full stack, top to bottom

React, Next.js, and TypeScript on the front; Node, Python, and durable workflow engines behind. I build the multi-tenant, multi-region platforms that agents live inside, with SSO, EU data residency, and data rooms that handle gigabyte-scale uploads.

Ship fast, improve on evidence

I ship quickly and iterate on real signal, not vibes: eval gates on every change, full observability into cost and quality, and pipelines that self-improve week over week with automatic rollback when a metric regresses.

Let's Work Together

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AI + Full-Stack

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50 +

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