Clarify the constraint
Identify the input, decision points, edge cases, authoritative records, and success metric before talking about a build.
ABOUT SLAKE DESIGN · AUSTIN, TX
You work directly with the engineer building your software.
I’m Anish Jhaveri. I help teams design, build, and improve software systems through direct engineering collaboration.
HOW I WORK
Direct collaborationYou work with the person making the technical decisions.
Working software over theaterDemos, architecture decisions, and maintainable handoffs stay connected to the code.
Built for handoffYour team receives the code, context, and documentation to keep moving.
ENGINEER & FOUNDER
Anish Jhaveri
Combining a Master of Accounting with experience across financial systems, business operations, and software development, I build applications that connect technical systems with real business workflows.
Solutions & Implementation
Translating client requirements into concrete technical tasks. I handle technical scoping, implementation planning, and delivery, aligning business goals with software boundaries.
Full-Stack Development
Designing and extending applications across frontend, backend, and data layers. I build APIs, user workflows, integrations, and database-backed systems that fit into existing products and engineering teams.
AI Systems & Automation
Building document search, workflow automation, and retrieval systems when AI creates measurable value for your application.
Business Systems & Data Workflows
Earlier experience auditing and preparing financial statements under GAAP gives me a practical understanding of internal controls, ledger syncs, and compliance-aware data pipelines.
Working examples
Explore featured projects, architecture notes, and live systems.
Engineering project · Live system
Ask questions against Stripe implementation docs and inspect the cited chunks behind each answer.
Client engagement · Case studyNotes from a documented product build involving natural-language search, auth, data modeling, and founder workflows.
Technical DecisionsPractical breakdowns on when to use a local or managed model, when deterministic logic is enough, and when custom code is not worth it.
How I work
A simple path from uncertainty to owned software.
Build the smallest useful system
Use deterministic rules, integrations, search, or AI only where they make the workflow easier to run and review.
Hand over something maintainable
Deliver source code, setup notes, logs, and enough context for your team or another developer to extend it.