"I enjoy turning ambiguous product ideas into reliable systems that people can actually deploy and use."
I'm an AI Engineer with two years of experience building production AI products at an early-stage fintech startup, where I worked across the entire engineering stack—from ML pipelines and LLM applications to backend services, cloud infrastructure, deployment automation, and system architecture.
Working as one of the first engineers meant wearing many hats. Over the past two years I've designed transaction intelligence systems, built AI-powered underwriting and due diligence platforms, deployed scalable backend services on AWS, implemented CI/CD pipelines, orchestrated long-running agent workflows, and developed internal tooling to make AI systems easier to build and maintain.
I enjoy solving engineering problems where AI is only one piece of a much larger system. My focus is on building software that is reliable, observable, scalable, and easy for other engineers to extend.
- Building local-first AI applications and developer tooling
- Designing reusable agent execution frameworks
- Production infrastructure for AI systems
- Self-hosted cloud infrastructure with Proxmox and Temporal
- Open-source AI development ecosystem (AgentOS / OpenCode)
- Agentic AI & Workflow Orchestration
- Distributed Systems
- Backend Engineering
- AWS Cloud Infrastructure
- Developer Experience
- Production ML Systems
Email prateekdwivedi30@gmail.com
Experience and my Resume LinkedIn
Portfolio (currently down for upgrades) Portfolio



