Lead software engineer · Select Rails + AI projects
I improve Rails products and build reliable AI workflows.
I work with small SaaS teams that already have a product. I help upgrade and speed up Ruby on Rails systems, or turn one manual workflow into a production-ready AI feature.
Lead Software Engineer · 8 years of experience · Based in India · Async-friendly
Two offers
Two focused ways I can help.
Rails
Rails Upgrade & Performance Sprint
Upgrade a Rails product and fix the performance regressions that slow teams down after growth or dependency changes.
- — Rails and Ruby upgrades
- — Post-upgrade regressions and broken framework behaviour
- — Slow endpoints and Active Record query issues
- — Sidekiq reliability and Redis state problems
View offer →
AI workflow
Production AI Workflow Sprint
Turn one high-value manual workflow into a production AI workflow your team can review, trust and operate.
- — Conversations or emails to validated structured product records
- — Documents to extracted fields with human review
- — Support or lead requests to classification, context and a proposed next action
- — Schemas, rules, evaluations, logs and cost controls underneath
View offer →
01
Reduced a critical production API’s p99 latency from approximately 300 ms to under 120 ms.
02
Designed an auditable credit ledger with locking, idempotency, expiry and duplicate-redemption prevention.
03
Built AI workflows that convert unstructured conversations into validated structured product data.
Selected work
Anonymised outcomes, not logos.
Backend · PostgreSQL · Redis
Backend performance and reliability cleanup
Problem
A production API had become slow and harder to operate under real user traffic.
Work
Tightened data access paths, reduced unnecessary backend work and improved caching/state boundaries.
Result
Reduced p99 latency from approximately 300 ms to under 120 ms.
AI workflow · Structured outputs · Validation
Conversation-to-structured product data
Problem
Free-form customer conversations needed to become complete, usable product records without relying on operators to manually rewrite every field.
Work
Built an AI-assisted extraction workflow with structured outputs, schema validation, deterministic field rules and explicit failure handling before downstream use.
Result
Converted unstructured conversations into validated structured drafts that could be reviewed and passed into the existing product workflow.
Transactional systems · PostgreSQL · Background jobs
Auditable transactional ledger
Problem
Credit usage needed to be traceable, expiry-aware and safe against duplicate redemption.
Work
Designed locking, idempotency, expiry handling and duplicate-redemption prevention around ledger operations.
Result
Created a clearer transactional system with auditable state transitions and safer background processing.
01
Scope one outcome
We define the Rails upgrade/performance issue or one AI workflow that can ship as a contained sprint.
02
Build with guardrails
Implementation includes tests, validation boundaries, logs and deployment notes rather than a vague handoff.
03
Ship and transfer context
You get the fix or workflow, documented trade-offs and enough context for your team to own it.
Credibility
Lead Software Engineer, not an agency layer
I’m a Lead Software Engineer with eight years of experience. I take on a limited number of focused Rails and AI workflow projects independently, and I am not available for general staffing or open-ended consulting.
Have a Rails product or AI workflow worth scoping?
Share what exists today, the desired outcome, budget range and timeline. I will respond if the project fits a focused sprint.
Send a project brief