krishna-singh Rarebuffalo

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Full-Stack AI Engineer building agentic systems, backend infrastructure, and AI-native products.

I like building software where AI actually does something useful -- working with data, using tools, making decisions, and becoming part of a real product.

Most of my work sits between AI, backend engineering, and product. I enjoy taking an idea, figuring out how the system should work, building it, and shipping something people can actually use.

Right now, I'm working on agentic AI and AI-mediated commerce, while building backend systems and contributing to open source.

2× Buildathon Winner · Open-Source Contributor · AI / Agentic Systems · Backend Engineering

What I'm Working On

Full-Stack Engineer -- Stealth AI Startup
Bangalore · On-site · Sep 2026 – Present

Working on AI-native products in the AI-mediated commerce space, building full-stack and agentic systems around AI search visibility, data quality, product intelligence, and business workflows.

My work spans backend services, data workflows, AI agents, and product development.

Backend Engineer -- Rōvn
Remote · Sep 2026 – Present

Building backend infrastructure for an AI-operated healthcare workforce platform covering hiring, verification, credentialing, onboarding, and workforce readiness.

I focus on APIs, data flows, integrations, and infrastructure supporting agent-driven workflows.

Full-Stack Engineer Intern -- OpenStreem Labs
Remote · Nov 2025 – Mar 2026

Worked on backend systems and asynchronous processing workflows, with a focus on MongoDB performance, Redis/Celery pipelines, and API integration testing.

Improved database performance for high-volume workloads and helped make background processing and deployments more reliable.

Open Source

I enjoy working on software I didn't build myself -- understanding how a codebase fits together, finding well-scoped problems, and turning them into useful contributions.

I've contributed to projects around AI infrastructure, developer tooling, backend systems, and agentic workflows, including WrenAI, Graphify, and InsForge.

Things I Build

AI agents and agentic workflows
Backend systems and APIs
AI-native products
Developer tools and infrastructure
Security and observability systems
Full-stack applications
Automation and data pipelines

Technical Focus

Languages
Python · TypeScript · JavaScript · Java

Backend
FastAPI · Django · Node.js · Express · Hono · REST APIs

Frontend
React · Next.js · TypeScript

Data & Infrastructure
PostgreSQL · MongoDB · Redis · Docker · Git · GitHub Actions · Linux

AI / GenAI
Google ADK · OpenAI · Gemini · LangGraph · RAG · AI Agents · Vector Search · Prompt Engineering · Firecrawl · Langfuse

Currently Exploring
Go · MCP · Open-weight models · Local AI infrastructure · Agentic systems

Engineering Philosophy

Understand the problem. Build the simplest system that solves it. Ship it. Learn from it.

I care less about using a technology because it's new and more about whether it helps solve the problem better.

The work I enjoy most sits at the intersection of AI and real software engineering -- systems that reason over data, use tools, interact with existing infrastructure, and perform meaningful work.