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
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.
Experience
Where I have worked.
Peve Visions
Software Architect
Bangalore, India
Subscription billing, LLM cost work, and analytics on the Go stack.
- Built the subscription microservice in Go — revocations, unpaid handling, chargebacks. It's what keeps recurring revenue from leaking.
- Cut LLM token usage 5x by refactoring the Go services and the JS inference layer. Answer accuracy went up at the same time.
Teachmint
SDE III
Bangalore, India
Backend for the Teachmint X classroom stack — login, billing, comms.
- Built QR login, device tracking, and subscription flows. Login got 30% faster.
- Shipped in-app purchase validation across Android, iOS, and web. Drove INR 1.5 Cr+ in recurring revenue through it.
Infra Market
Senior Software Engineer
Bangalore, India
Cart, order, and inventory backends for FOFO commerce.
- Built the cart microservice in Go. Powered 19 FOFO stores, $20M+ in transactions, 99.99% uptime. Redis + Postgres underneath.
- Designed the order and inventory systems on Kafka so stock stayed in sync across warehouses and stores in real time.
Yayshop
Founding Engineer
Bangalore, India
Founding engineer — Android + web launches, internal tooling, CRM.
- Shipped the Android and web launches end to end as one of the early engineers.
- Wrote the CRM + analytics layer on BigQuery and Angular Material. Sales query resolution dropped 50%.
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.