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About This Work
I worked on data-driven application and automation workflows that connected application services, APIs, databases, and background processes. The focus was on structuring data flows, handling business logic, integrating services, and automating repetitive tasks such as scheduling, notifications, data synchronization, and reporting.
I approached the work with an emphasis on reliability, maintainability, and clean separation between application logic and data operations, so the workflows could be easier to troubleshoot and extend.
Skills: Backend Development · API Integration · Workflow Automation
Tools: Python · REST APIs · SQL
The network for creativity
Join 1.25M professional creatives like you
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Creatives on Contra have earned over $150M and we are just getting started
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Open to new work — full-time or contract.
I'm a full-stack engineer with 6+ years of experience, working with TypeScript across the stack. Most of that time has been spent embedded in a small number of products for years at a time, rather than rotating between short gigs — which means I've owned things long enough to live with my own decisions.
What I build:
AI/LLM products — tool-calling agent workflows that act on results autonomously, retrieval-grounded generation over large corpora, structured outputs with validation, and evaluation against real outcomes. Built in-house, with the model provider behind a service boundary so routing stays swappable.
Payments — Stripe Connect and Subscriptions in production: recurring billing, plan changes, usage-based charges, marketplace payouts, and webhook-driven reconciliation so the ledger stays accurate when events arrive late, twice, or out of order.
Integrations — 15+ third-party APIs including Amazon Seller/Vendor Central, Google, and Microsoft Graph behind one normalized interface, cutting integration time by ~40%.
Real-time & scale — WebSocket services maintaining consistent state for thousands of concurrent users, with reconnection and out-of-order delivery handled explicitly.
Stack: TypeScript · React · Next.js · Node/Express · PostgreSQL · Redis · AWS · Docker · CI/CD. Claude Code and MCP tooling are part of my daily workflow.
If you're shipping something early-stage and need someone who can take a feature from schema to production without a handoff, my DMs are open.
good luck in your job search Ali
I've built Signalwatch with one purpose... to identify the gaps and deliver solutions.
Love the clarity of the mission; turning raw public signals into actionable decisions feels genuinely useful.
Just published: Strategy and Copy Agent.
Most AI copy tools optimize for generation. I wanted to solve the harder problem:
How do you make AI-generated strategy evidence-backed, reviewable, versioned, and safely approved?
This case study breaks down the system I built around:
Evidence → Strategy → Copy → Review → Approval → Handoff
Including role controls, immutable revisions, deterministic checks, and exact-version approval.
If you’re building production AI systems where trust and control matter as much as output quality, this one is for you.
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