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$ cat about.md

Edwin Beshel Ayabie

Python Backend Engineer · Fintech · Payments · AI Platforms

Technical Lead at AET Technologies · backend engineer across fintech, payments, and AI products

I build backend systems for fintech, payments, and AI products, where transaction correctness, concurrency, and reliability under load all matter.

Backend engineer across 10+ production systems since 2022: VAS and mobile-network DCB (direct carrier billing) platforms, fintech bill-payment and crypto on/off-ramp apps, a food-delivery platform handling 10,000+ daily orders, and an AI mental-health companion built on a RAG pipeline. I own deployment end-to-end on everything I build, from database setup through to production. Currently Technical Lead at AET Technologies, where I built the backend behind a nationwide airtime-based rewards platform: consent and fraud checks on every entry, running at thousands of subscriptions a minute for 5M+ users served and still growing. I now lead engineering across it.

Open to senior backend and technical-lead roles · remote-first · Abuja, Nigeria (WAT, UTC+1)
production backend systems shipped since 2022
10+
API response-time improvement on a national health coverage tool
80%+
monthly transactions on idempotent billing pipelines
100,000+
latency cut via Redis caching for 10,000+ daily orders
25%+
engagement lift from an AI emotional-support pipeline
40%
users served on an airtime-based rewards platform, still growing
5M+
  • Backend architecture · fintech & payments
  • VAS · USSD · mobile network DCB
  • AI pipelines · RAG · LLM integration
  • Crypto on/off-ramp · virtual cards · wallets
  • Reliability · queues · concurrent transactions
  • Python · FastAPI · Django · Celery

Selected systems

Flagship case studies that show backend ownership across money movement, reliability, AI operations, and go-to-production delivery.

$ cat projects/yumbarn.md

~/projects/yumbarn.md

Yumbarn

● in production

Yumbarn is Tiango Logistics' food ordering and delivery platform connecting customers, vendors, and riders. As lead backend engineer I architected and deployed the core REST API serving all three client apps, built real-time order-fulfillment workflows including geolocation-based rider assignment and payment processing, and designed high-availability database schemas to keep order and payment state consistent under concurrent load. Introduced a Redis caching layer on hot read paths that cut API latency by more than 25% while the platform was handling 10,000+ orders a day.

  • Core order API

    REST API serving the customer, vendor, and rider apps: catalog, ordering, and order-state transitions.

  • Rider assignment & fulfillment

    Real-time, geolocation-based rider matching and order-fulfillment tracking from placement to delivery.

  • Payment processing

    Secure payment capture and confirmation wired into the order lifecycle.

  • Redis caching layer

    Caching on hot read paths cut API latency by 25%+ at 10,000+ orders/day without a database upgrade.

- uncached reads on every order/catalog request under peak load
+ Redis caching layer: 25%+ latency cut at 10,000+ daily orders
- ad hoc rider dispatch
+ geolocation-based rider assignment + real-time fulfillment tracking
+ high-availability schemas for transactional consistency under load
role: lead backend engineerstack: python · fastapi · postgresql · redis · celerysite: yumbarn.com
$ cat projects/nectabills.md

~/projects/nectabills.md

NectaBills

● in production

NectaBills is Techmakeeasy's fintech app for bill payments, airtime and data top-up, airtime-to-cash conversion, eSIM management, transfers, and interest-earning savings. I implemented the core billing and transaction workflows with idempotent processing to prevent duplicate charges across 100,000+ transactions a month, built asynchronous background pipelines on Celery and RabbitMQ for payment execution, retries, and reconciliation, integrated multiple third-party payment providers and VAS aggregators over REST and SOAP, and optimized database queries and task throughput for reliability under concurrent transaction load.

  • Idempotent billing engine

    Transaction workflows built to reject duplicate charges by construction, holding up across 100,000+ transactions a month.

  • Async payment pipeline

    Celery + RabbitMQ workers handling payment execution, retries, and reconciliation off the request path.

  • VAS & provider integrations

    Multiple third-party payment providers and VAS aggregators integrated over REST and SOAP for airtime, data, eSIMs, and bill payments.

- naive charge-and-retry, risk of duplicate billing on network failure
+ idempotent transaction workflows across 100,000+ monthly charges
+ Celery/RabbitMQ pipeline for async execution, retries, and reconciliation
role: backend engineerstack: python · fastapi · celery · rabbitmq · postgresql · redissite: nectabills.com
$ cat projects/nectaswap.md

~/projects/nectaswap.md

NectaSwap

● in production

NectaSwap is Techmakeeasy's crypto companion app: swap crypto for Naira, plus NectaSwap Cards for spending globally and virtually. I built the crypto buy/sell flows and real-time authorization for the virtual cards, layered onto the same wallet and transaction infrastructure as NectaBills, reusing the same idempotent transaction processing and reconciliation pipeline.

  • Crypto-to-Naira swap

    Crypto buy/sell flows layered onto the same wallet and transaction infrastructure as NectaBills.

  • Real-time card authorization

    NGN/USD virtual cards with live balance control: POS/ATM transaction requests are routed to the backend for real-time approval or decline against the card's available balance.

+ crypto-to-Naira swap on the same wallet rails as NectaBills
+ NGN/USD virtual cards with real-time POS/ATM authorization
role: backend engineerstack: python · fastapi · celery · rabbitmq · postgresql · redissite: nectaswap.com
$ cat projects/moodcraft.md

~/projects/moodcraft.md

Moodcraft

● in production

Moodcraft is Ashinity Synergy's AI mental-health companion app: mood and emotion logging, trigger tracking, guided journaling, and creative tools (poetry, drawing, music) for emotional processing. I engineered and maintained a Retrieval-Augmented Generation pipeline for personalized, context-aware support, integrated and tuned LLMs for mood classification and response generation, built secure data-ingestion pipelines for sensitive user data, and developed the FastAPI services handling inference requests and continuous data capture. Shipped alongside a reported 40% lift in user engagement.

  • RAG pipeline

    Retrieval-augmented generation for personalized, context-aware emotional-support responses.

  • Mood classification

    LLM integration for classifying user mood/emotion from journaling and check-in input.

  • Secure data ingestion

    Ingestion and processing pipelines built for sensitive user data with privacy in mind.

  • Inference API

    FastAPI services handling live inference requests and continuous data capture from the app.

- generic, non-personalized emotional-support responses
+ RAG pipeline + tuned LLM mood classification: 40% engagement lift
+ secure ingestion pipeline for sensitive user data
role: backend developerstack: python · fastapi · rag · llm integration · postgresqlsite: moodcraft.org
$ cat projects/zeelpay.md

~/projects/zeelpay.md

Zeelpay

● in production

Zeelpay is a hybrid Web2/Web3 consumer fintech app: bill payments, airtime/data top-up, airtime-to-cash conversion, gift-card trading, Bitcoin/USDT trading, and NGN/USD virtual cards, alongside P2P transfers. I designed backend services supporting both the cryptocurrency and bills-payment sides of the product and enforced code quality through automated testing and review practices.

  • Bills & VAS services

    Bill payments, airtime/data top-up, and airtime-to-cash conversion backed by aggregator integrations.

  • Crypto trading & virtual cards

    Bitcoin/USDT trading and gift-card trading alongside NGN/USD virtual card issuance on shared wallet infrastructure.

  • Real-time card authorization

    NGN/USD cards with live balance control: POS/ATM transaction requests are routed to the backend for real-time approval or decline against the card's available balance.

- separate fiat bills-payment and crypto-trading flows
+ unified wallet backend: bills, airtime, gift cards, and BTC/USDT trading
+ NGN/USD virtual card issuance on the same rails
role: lead backend developerstack: python · fastapi · postgresql · redissite: zeelpay.com
$ cat projects/shazzy.md

~/projects/shazzy.md

Shazzy

● in production

Shazzy is Shazz Tech's crypto wallet app: buy and sell tokens like BTC in your local currency, then spend directly using a Shazzy card in stores and online. I built the crypto wallet and card functionality, including real-time card authorization, and improved database performance through query optimization.

  • Crypto wallet

    Buy/sell flows for tokens like BTC in the user's local currency.

  • Card spending

    Card issuance with real-time authorization: transaction requests are routed to the backend for real-time approval or decline against the card's live balance.

- slow database reads on wallet/transaction history endpoints
+ query optimization across wallet and crypto-trading paths
role: backend developerstack: python · fastapi · postgresqlsite: shazzy.app
$ cat projects/gexipay.md

~/projects/gexipay.md

Gexipay

● in production

Gexipay is a consumer fintech app for paying Nigerian bills, transferring money to bank accounts, converting airtime to cash, trading crypto and gift cards, issuing virtual cards, and funding betting wallets. I built the full backend: secure and compliant transaction-processing workflows, database performance work through indexing and query refactoring, third-party integrations over JSON and XML APIs, and real-time authorization for the virtual cards.

  • Real-time card authorization

    Virtual cards with live balance control: POS/ATM transaction requests are routed to the backend for real-time approval or decline against the card's available balance.

- unindexed transaction tables under growing load
+ indexing + query refactor across the transaction-processing path
+ compliant transaction workflows for bills, transfers, crypto, gift cards, and betting-wallet funding
role: backend developer · freelancestack: python · fastapi · postgresqlsite: gexipay.com
$ cat projects/paysefy.md

~/projects/paysefy.md

Paysefy

● in production

Paysefy is Sefy Technologies' fintech bills-payment platform. I built the backend end-to-end: architecture, implementation, and technical documentation covering system design and backend standards, working closely with the frontend team on API integration.

  • Backend architecture & implementation

    Owned the platform end-to-end, from architecture decisions through implementation.

  • Technical documentation

    Authored system design and backend-standards documentation for the platform.

  • Frontend integration

    Worked closely with the frontend team on API contracts and integration.

- no documented backend architecture or engineering standards
+ backend built end-to-end with documented system design and backend standards
role: lead backend developerstack: python · postgresql
$ cat projects/tobopay.md

~/projects/tobopay.md

Tobopay

● in production

Tobopay is a Nigerian payments app: a wallet backed by a proper ledger, bill payments, airtime-to-cash conversion, and Tcash, a voucher-style cash-equivalent product. I built it end-to-end and solo, with nothing handed to me to maintain: wallet and ledger logic, bills and airtime-to-cash flows, Tcash vouchers, and NGN/USD virtual cards with real-time authorization — POS and ATM transaction requests routed to the backend for approval against the card's live balance — plus the infrastructure and deployment pipeline underneath all of it.

  • Wallet & ledger

    Core wallet balance and ledger system tracking every user's money movement.

  • Bills & airtime-to-cash

    Bill payments and airtime-to-cash conversion on top of the wallet.

  • Tcash vouchers

    Voucher-style cash-equivalent product built on the wallet and ledger.

  • Real-time card authorization

    NGN/USD virtual cards with live balance control: POS/ATM transaction requests are routed to the backend for real-time approval or decline against the card's available balance.

  • Infrastructure & deployments

    Owned the deployment pipeline and backend infrastructure end-to-end, solo.

- no backend to speak of, product built from a blank slate
+ wallet, ledger, bills, airtime-to-cash, and Tcash vouchers built and deployed solo
+ NGN/USD virtual cards with real-time POS/ATM authorization against live balance
role: backend developerstack: pythonsite: tobopay.co
$ cat projects/waitstream.md

~/projects/waitstream.md

Waitstream

● in production

Waitstream replaces the walk-in clipboard with a live digital waitlist for service businesses: customers join a queue or book a slot, get automated status updates as their turn approaches, and the business gets AI-assisted signal on who's likely to no-show so they can overbook safely instead of losing revenue to empty slots. I designed, built, and deployed the entire backend solo: the waitlist and booking engine, the customer notification pipeline, and the no-show prediction logic underneath it.

  • Waitlist & booking core

    Real-time queue and booking engine tracking each customer's position and slot end-to-end.

  • Customer notifications

    Automated status updates keeping customers informed as their turn approaches, cutting drop-off.

  • No-show prediction

    AI-assisted scoring that flags likely no-shows so businesses can overbook safely instead of losing revenue to empty slots.

  • Solo backend ownership

    Entire backend designed, built, and deployed independently as the sole engineer.

- walk-in waitlists on paper, no visibility into no-show risk
+ live digital waitlist with automated status updates and AI-assisted no-show prediction
+ entire backend designed, built, and deployed solo
role: backend developer · freelancestack: python · fastapi · postgresqlsite: waitstream.com
$ cat projects/gxpanse.md

~/projects/gxpanse.md

Gxpanse

● in progress

Gxpanse merges a social feed with large-scale online shopping into one product: people browse and buy the way they'd scroll a timeline, with commerce and social sharing the same backend instead of being bolted together as separate apps. As freelance backend engineer I'm building the core services behind both sides: the social layer (profiles, feed, posts, engagement) and the marketplace layer (product catalog and the transaction flow behind it), on shared infrastructure.

  • Social feed & profiles

    User profiles, posts, feed, and engagement (likes, comments, follows).

  • Marketplace & catalog

    Product listings and the marketplace transaction flow behind them.

  • Unified backend

    Social and commerce sharing one backend rather than two bolted-together systems.

- no unified backend for social feed + marketplace in one product
+ core services backend for a combined social + marketplace platform, in progress
role: backend developer · freelancestack: python
$ ls projects/ | tail -n +5

More work

Shorter entries for systems that shipped but don't need a full case study. Every one ran in front of real users.

  • AuvraAIbackend engineer

    ● maintained

    AI voice-call and customer-support platform: pipeline and pathway logic for virtual agents.

    stack: python · fastapi
  • Zappybackend developer

    ● in production

    Payments app: instant Nigerian bank transfers and a dual NGN/USD wallet with real-time FX conversion.

    stack: python · postgresql2 servicessite: zappy.ng
$ git log --oneline experience.md

Experience

  1. Back End Developer & Data Scientist @ Synterra Digital

    Jul 2026 - present

    Dual backend and data role at an early-stage AI company, building the data and API layer behind its product ahead of public launch.

  2. Backend Engineer @ SCIDaR

    Feb 2026 - Jul 2026

    Contract backend engineer at Solina Centre for International Development and Research (SCIDaR), a Nigerian health and development research organization that has run 15+ transformation programs across 15+ states since 2017. Rebuilt the API layer behind an internal program-coverage tool, cutting response times by over 80% to consistently under 100ms, and built an ETL pipeline feeding downstream program analysis.

  3. Backend Engineer @ AuvraAI

    Nov 2025 - Aug 2026

    Built backend pipelines and pathway logic for an AI voice-call and customer-support platform, powering virtual agents that handle live calls.

  4. Backend Developer @ Ashinity Synergy

    Jul 2025 - Sep 2025

    Backend for Moodcraft, an AI mental-health companion app. Engineered and maintained a RAG pipeline and LLM integration for mood classification and personalized response generation, plus secure ingestion pipelines for sensitive user data and the FastAPI inference services behind the app, alongside a reported 40% lift in user engagement.

  5. Lead Backend Engineer @ Tiango Logistics (Yumbarn)

    May 2025 - Dec 2025

    Backend lead for Yumbarn, Tiango Logistics' food ordering and delivery platform. Architected and deployed the core REST API serving the customer, vendor, and rider apps, built real-time order fulfillment with geolocation-based rider assignment and payment processing, and introduced Redis caching that cut API latency by over 25% at 10,000+ daily orders.

  6. Technical Lead @ AET Technologies

    Mar 2025 - present

    I built the backend behind AET's nationwide airtime-based rewards platform: consent and fraud checks on every entry, holding up at thousands of subscriptions a minute across 5M+ users served. Now leading engineering across it — reviewing architecture and performance decisions, mentoring 10+ junior developers in Python, JavaScript, and distributed systems (a reported 30% productivity lift on critical projects), resolving production incidents in background task execution, API failures, and database performance, and communicating technical risk to senior stakeholders.

  7. Backend Engineer @ Techmakeeasy (NectaBills / NectaSwap)

    Jan 2025 - Apr 2026

    Backend engineer at Techmakeeasy on two products: NectaBills (bills, airtime, eSIM, transfers, savings) and NectaSwap (crypto-to-Naira swap plus NGN/USD virtual cards), sharing the same wallet and transaction infrastructure. Implemented idempotent billing and transaction workflows preventing duplicate charges across 100,000+ monthly transactions, built async payment pipelines on Celery and RabbitMQ for execution, retries, and reconciliation, real-time card authorization, and integrated multiple VAS aggregators and payment providers over REST and SOAP.

  8. Backend Developer @ AET Technologies

    Apr 2024 - Feb 2025

    Designed and built USSD, SMS, and web APIs for AET's airtime-based rewards platform, including the consent and fraud-check gateways users pass through before entry, mobile-network DCB (direct carrier billing) integrations, external aggregator and ISP integrations over REST and SOAP/XML, and the billing logic behind those workflows.

  9. Lead Backend Developer @ Sefy Technologies (Paysefy)

    Feb 2024 - Nov 2024

    Built the backend end-to-end for Paysefy, a fintech bills-payment platform: architecture, implementation, and technical documentation covering system design and backend standards, working closely with the frontend team on API integration.

  10. Lead Backend Developer @ Zeelpay

    Feb 2024 - Jan 2025

    Backend for Zeelpay, a hybrid Web2/Web3 fintech app for bill payments, airtime/data top-up, gift-card trading, and Bitcoin/USDT trading with NGN/USD virtual cards on real-time authorization. Designed the services supporting both the cryptocurrency and bills-payment sides of the product and enforced code quality through automated testing and review.

  11. Backend Developer @ Gexipay Technologies

    Nov 2023 - Jan 2025

    Built the full backend for Gexipay, a consumer fintech app for bill payments, bank transfers, crypto and gift-card trading, virtual cards with real-time authorization, and betting-wallet funding. Implemented secure, compliant transaction-processing workflows, optimized database performance through indexing and query refactoring, and integrated third-party services over JSON and XML APIs.

  12. Backend Developer @ Tobopay

    Nov 2023 - Dec 2024

    Built the backend for Tobopay, a Nigerian payments app, end-to-end and solo: wallet and ledger, bills, airtime-to-cash, Tcash vouchers, and NGN/USD virtual cards with real-time POS/ATM authorization, plus the infrastructure and deployment pipeline underneath it.

  13. Backend Developer @ Shazz Tech (Shazzy)

    May 2023 - Mar 2025

    Backend for Shazzy, a crypto wallet app for buying/selling tokens and spending directly via card. Built the crypto wallet and card functionality, including real-time card authorization, and improved database performance through query optimization.

  14. Backend Developer @ Zappy Global Technology

    May 2023 - Jan 2025

    Backend engineer on Zappy, a Nigerian payments app for instant bank transfers and a dual NGN/USD wallet with real-time FX conversion and airtime-to-cash.

  15. Backend & Web Developer · early career @ Various — internships & freelance

    2020 - 2023

    Started in freelance web design and blogging before moving into Python backend development through internships and small teams: HNG Internship, KodeCamp, Zuri Team, Sidehustle, and Workshopapps, plus early freelance backend work for Naijabase Media.

$ cat skills.md

Skills

Languages
PythonJavaScriptSQL
Backend & data
FastAPIDjangoCeleryPostgreSQLRedisRabbitMQKafkaGraphQLpySparkMicroservicesWebSocketsREST · SOAP · XML · JSON
Telecom & VAS
VAS (Value-Added Services)Mobile network DCB (direct carrier billing)USSD gatewaysSMS gatewaysSOAP/XML aggregator integration
Payments & fintech
Bill payments & VAS aggregatorsCrypto on/off-ramp (BTC · USDT)Virtual card issuance (NGN · USD)P2P transfers & FX conversionIdempotent billing & reconciliationPayment gateway integrationsGift-card & betting-wallet rails
AI & data
RAG pipelinesLLM integration & tool useMood / intent classificationSecure data-ingestion pipelinesVoice-agent pipelinesETL & analysis pipelines
Reliability & infra
End-to-end deployment ownership (DB setup → production)DockerLinuxGitDatabase indexing & query optimizationRedis cachingBackground task reliability (Celery retries)
$ cat contact.md

Let's talk

Hiring for backend engineering across VAS/telecom, fintech, or AI-driven products? I build systems where transaction integrity, concurrency, and reliability under load matter: Python/FastAPI/Django backends, Celery task pipelines, and LLM-backed features. I'm remote-first out of Abuja (WAT, UTC+1). Email is the fastest way to reach me.

12 prod
Abuja 00:15 WAT