Akhil Singh
Building AI products for underwriting and document workflows.
I am a software engineer and operator with 6+ years of experience building revenue-critical systems. I recently started focusing that experience on early-stage AI products in underwriting and document workflows.
Credibility
Grounded proof from six years of building systems and products.
Years Building
Experience across platform engineering, product systems, and AI workflows
Systems Supported
Transaction volume supported through production commerce systems
AI Cost Reduction
Model cost efficiency improvement achieved in production work
Products In Progress
Early-stage products currently being built in underwriting and document workflows
Operator story
From operating experience into early-stage product building.
The products come from years spent shipping revenue-critical systems, platform workflows, and AI infrastructure in real operating environments.
Currently building
Current products
Sarvada.ai
Currently Building
Underwriting / Risk Workflows
An AI product I am building to help underwriting teams move through risk review faster.
- Focused on making submission review and risk assessment more structured, faster, and easier to operationalize.
- Exploring conversational analysis, reporting, and workflow features that reduce manual back-and-forth for underwriting teams.
- Still early, with the product being shaped around practical team workflows rather than broad platform claims.
Papermill
Currently Building
Document AI / RAG Workflows
A document-processing product aimed at making PDFs and images easier to use in AI systems.
- Built around turning messy documents into cleaner markdown, extracted assets, and structured outputs for downstream AI use.
- The goal is to make document ingestion less brittle for teams working with RAG and LLM workflows.
- It is an active build, with the product direction centered on reliability and usable output quality.
Experience
Previous work
Peve Visions
Software Architect
Bangalore, India
AI systems, recurring-revenue workflows, and production cost optimization.
- Reduced LLM serving costs 5x while improving answer quality in production systems.
- Built subscription and analytics systems supporting recurring-revenue workflows.
- Owned architecture and execution across product, infrastructure, and engineering delivery.
Teachmint
SDE III
Bangalore, India
Product infrastructure and monetization systems at scale.
- Built product flows that generated INR 1.5 Cr+ in recurring revenue.
- Improved login speed by 30% and notification delivery by 40% in live product systems.
- Worked on subscription, device, and communication workflows used by real institutions and users.
Infra Market
Senior Software Engineer
Bangalore, India
Transaction-heavy commerce systems with reliability requirements.
- Supported $20M+ in transaction volume with 99.99% uptime.
- Built core systems for cart, order, and inventory workflows in a high-scale environment.
- Gained deep exposure to reliability, operational complexity, and product-critical backend systems.
Yayshop
Founding Engineer
Bangalore, India
Early 0-to-1 product execution across customer and internal workflows.
- Worked as an early engineer building product and internal tooling from the ground up.
- Shipped customer and operations workflows that improved team efficiency and user support.
- This period shaped how I think about speed, ambiguity, and getting useful software into users' hands.
What I work on.
Areas of depth
Most of my work sits at the intersection of backend systems, AI workflows, and product execution, with an emphasis on solving practical operational problems.
Operating principle
Start with the workflow, build for adoption, and let technical depth act as execution leverage.
What I Work On
Document Workflows
Workflow Automation
Where I Have Depth
How I Build
What I am building
Current products in progress.
These are the products I am currently spending time on, informed by years of backend, platform, and AI systems work.
Sarvada.ai
A product in progress for underwriting teams that need a faster way to review and work through risk.
- The product is aimed at making underwriting analysis more structured and less manual for teams reviewing submissions.
- I am building around practical workflow needs like clearer analysis, reporting, and outputs teams can actually use.
- It is still early, and the emphasis is on finding the right product shape rather than overstating maturity.
Papermill
An early-stage product for turning PDFs and images into cleaner, AI-ready document outputs.
- Built to make document ingestion less brittle for teams working with retrieval and LLM pipelines.
- The focus is on reliable extraction, usable structured output, and fewer manual cleanup steps.
- Like Sarvada.ai, it reflects a shift from operating systems for companies to building products directly.