Luan Motta

• Natural-language query engine

  50–75% faster

  Plain English into fast, structured search across 100+ attributes.

  Problem

  Non-technical users couldn't express the searches they needed, and the frontend and backend expressed searches through two divergent schemas.

  Approach

  Designed a query DSL to unify the stack, a compiler to optimized SQL, a vector layer for similarity search, and an LLM layer that turns a prompt into a structured query and refines it when ambiguous.

  Result

  Owned end-to-end from scope to launch. The hard part was state and determinism, not the prompt — isolating filter edits and bounding the vector search cut slow queries 50–75%.

  • DSL
  • SQL compiler
  • Vector search
  • LLM

  View demo →

• Organic-growth surface

  Made a data-rich platform discoverable, and instrumented the funnel.

  Problem

  A data-rich product was invisible to search, with no measured path from a visitor to a signup.

  Approach

  Owned the initiative: programmatic SEO pages generated off a sync pipeline with LLM content, premium-data gating, and a Heap-instrumented conversion funnel.

  Result

  A durable organic-acquisition surface with a measurement layer built for a low-volume B2B funnel — optimizing the surface and the signal you can trust.

  • Programmatic SEO
  • Next.js
  • Heap
  • Pipelines

• AI outreach & email intelligence

  Client-facing LLM features users actually touch.

  Problem

  Users needed help drafting context-aware outreach and wanted email activity to surface deal and contact signal without manual entry.

  Approach

  Built multi-persona, per-recipient email generation with regeneration over a Gmail integration, and a spike turning email content into structured order and contact suggestions.

  Result

  Shipped LLM product surfaces wired into multiple parts of the app — AI in the product, not just in the toolchain.

  • LLM
  • Gmail API
  • Product

• Reliability on live data pipelines

  5/6 runs recovered

  Diagnosing subtle failures in production systems.

  Problem

  A public-sync job was timing out on five of every six runs, re-syncing the same records forever, and leaving orphaned duplicates on the public site.

  Approach

  Root-caused each from logs and DB state: rewrote a heavy detection query, broke a trigger that fired on the job's own write, and added cleanup for records deletes had orphaned.

  Result

  Restored the pipeline to full throughput — systems debugging in the seams between components.

  • Postgres
  • Cloud Functions
  • Debugging

1. Caplight Technologies

   Senior Product Engineer

   Mar 2024 to Present

   San Francisco, CA · Remote

   • Owned features from definition through production; used AI tooling to iterate faster without lowering the quality bar.
   • Ran activation and conversion work grounded in Heap: ship, read the data, adjust.
   • Shipped LLM-backed search and content generation, wired into the product with sensible guardrails.

   • React
   • TypeScript
   • Heap
   • LLMs

2. Toptal

   Senior Full-Stack Engineer

   Sep 2022 to Mar 2024

   San Francisco, CA · Remote

   • Built a Web3 NFT marketplace on Polygon; focused on flows that stay understandable around on-chain steps.
   • Frontend architecture on Next.js with Contentstack, structured for performance and long-term change.

   • Next.js
   • Web3
   • Contentstack

3. Gold Media Tech

   Senior Full-Stack Developer

   Sep 2021 to Mar 2024

   New York, NY · Remote

   • Shipped web and mobile features for a community product (feeds, engagement) on React, React Native, Node.js, and GraphQL.
   • Owned data pipelines and scrapers so fresh content landed in the app reliably.

   • React Native
   • GraphQL
   • Node.js

4. LIT Onlearning

   Tech Lead · Senior Full-Stack Developer

   Nov 2020 to Sep 2021

   Remote

   • Led web development and mentored engineers on execution and standards.
   • Aligned engineering with delivery dates, tradeoffs, and product direction.

   • React
   • Node.js
   • Leadership

5. Cyral

   Full-Stack Web Developer

   Sep 2019 to Sep 2020

   Redwood City, CA · Remote

   • Built Node.js services and SSO / SAML integrations in a cloud security platform.
   • Worked on the customer console alongside identity and observability integrations.

   • Node.js
   • SSO
   • SAML

• Product engineering

  Scope from unclear problem to shipped feature: tradeoffs, rollout, and learning from usage, not just tickets closed.

• Frontend architecture

  React and Next.js codebases with clear boundaries and performance that does not collapse as the product grows.

• Full-stack delivery

  APIs, data access, and UI in one thread of ownership when that is what the milestone requires.

• AI-powered features

  LLMs where they earn their place: search, generation, internal speed, always with product constraints and review.

• Performance & SEO

  Fast pages, solid semantics, and metadata that help humans and search both understand what you ship.

• Developer experience

  Conventions, reviews, and automation so a team stays fast after the first release.

Technologies

• TypeScript
• React
• Next.js
• Node.js
• GraphQL
• React Native
• NestJS
• MongoDB
• PostgreSQL
• AWS
• Docker
• Tailwind CSS
• Headless CMS
• LLM integrations
• Heap