Abdwahab Adekola
Chatbot Engineer (Whatsapp & Telegram) | AI, APIs & Payments
Ready for work
Abdwahab is ready for their next project!
Cribstock — Fractional Property Investment Platform
Engineered the backend infrastructure powering Cribstock, a fintech and fractional real-estate investment platform that enables users to purchase property shares, manage wallet funds, trade property stocks, and receive rental income.
Owned and delivered core financial and marketplace systems, including concurrency-safe wallet transactions, property stock trading, recurring wallet funding, payment processing, accounting, and automated dividend distribution. The platform supported 15,000+ users while processing financial transactions and property ownership events reliably at scale.
Key contributions included:
Redesigned wallet transaction processing to eliminate race conditions and reduce financial inconsistencies by ~95%.
Improved transaction and order-processing throughput by ~30% through algorithm and execution-path optimization.
Refactored the property marketplace to support fractional, unit-based property trading.
Implemented secure recurring card funding, increasing wallet deposits by ~35%.
Designed an internal accounting system for tracking costs, turnover, proceeds, and shareholder distributions.
Built automated monthly dividend calculations and wallet crediting.
Developed a fault-tolerant payment service with retry and reconciliation mechanisms, reducing failed payments by ~25%.
0
23
Developed the backend infrastructure for Thryb! Live, a real-time live streaming platform supporting live sessions, audience interaction, panelist management, moderation, chat, notifications, recordings, polls, and privacy controls.
Designed and implemented APIs and real-time backend services for managing live sessions, participants, panelists, comments, viewer activity, permissions, notifications, and stream lifecycle events. Built the logic powering interactions between hosts, panelists, and viewers while ensuring reliable state management and scalable communication across the platform.
The backend also supported stream recording workflows, automatic stream shutdown, user/app settings, live-session privacy, and recorded-stream publishing.
0
20
Engineered the backend infrastructure powering an AI-enabled WhatsApp platform, enabling users to discover and purchase value-added services directly within WhatsApp.
Designed conversational service flows covering service discovery, customer onboarding, transaction processing, payment status handling, and order completion. Integrated external VAS providers, implemented webhook handling and APIs, and connected WhatsApp conversations to the underlying VAS ecosystem.
Project outcomes:
Enabled end-to-end VAS purchases directly through WhatsApp
Automated conversational service discovery and transaction flows
Integrated multiple external VAS services and providers
Implemented webhook-driven transaction status updates
Connected WhatsApp conversations with backend VAS services
Improved reliability across successful, failed, and delayed transactions
0
28
Built a Telegram chatbot that streamlined vendor inventory and order management into a single conversational workflow, reducing the need for manual inventory updates and follow-ups.
The system enables vendors to onboard, manage products and pricing, update stock, schedule inventory check-ups, receive automated reminders, and track orders directly through Telegram.
Implemented the backend with NestJs/Node.js/TypeScript, Redis, and BullMQ for asynchronous processing and scheduled jobs, with Docker-based deployment, phone-number authentication, and external service integrations.
Project outcomes:
Automated recurring inventory check-ups and vendor reminders
Centralized product, pricing, stock, and order management
Reduced manual follow-ups through scheduled notifications
Enabled vendors to manage operations directly from Telegram
Built a scalable queue-based architecture for background jobs
1
63