Workflow intelligence
AI-powered applications
LLM-backed tools, agents, and automation layers that remove manual effort without turning the product into a science experiment.
Sarthak Pawse
I build production-grade systems that turn complex business workflows into clear, reliable software. My work spans enterprise microservices, AI integrations, SaaS platforms, and internal automation.

Founder-minded engineer with enterprise delivery discipline.
const build = {
input: "messy business workflow",
method: ["map constraints", "design system", "ship incrementally"],
output: "software your team can trust",
};
await deliver(build);3+
Years shipping production systems
15+
Projects across AI, SaaS, and automation
8+
Enterprise microservices maintained
US + IN + DE
Client and enterprise delivery context
Selected systems
From product UI to backend workflows, the focus stays on systems that are understandable, maintainable, and useful in production.


















What I solve
Each capability is framed around business usefulness first, then backed by the technical choices needed to make it durable.
Workflow intelligence
LLM-backed tools, agents, and automation layers that remove manual effort without turning the product into a science experiment.
Operational clarity
Internal tools and integrations that connect scattered processes, reduce dependency on spreadsheets, and make teams faster.
Product foundations
Full-stack applications with clean data models, reliable APIs, polished interfaces, and room to evolve after launch.
Scale and resilience
Microservices, queues, caching, databases, and deployment practices tuned for real production pressure.
Professional journey
Select a role to see the mandate, the systems, and the production context behind the work.
Full Stack AI & Automation Engineer
Leading AI-powered automation platforms for US-based marketing businesses, turning repetitive operational work into reliable software workflows.
Working style
The best software work is not only about speed. It is about knowing what to simplify, what to isolate, what to automate, and when to make the next decision.
Business logic before technology choices
Small interfaces, clear contracts, maintainable code
Production thinking from the first architecture decision
Direct communication with practical tradeoffs